From 08116dad5440f60d6cf18b62be4c67c06111d11e Mon Sep 17 00:00:00 2001 From: "learn-build-service-prod[bot]" <113403604+learn-build-service-prod[bot]@users.noreply.github.com> Date: Wed, 17 Jan 2024 14:57:18 -0500 Subject: [PATCH 01/12] In all content, remove ms.prod = dotnet-ml-api, Replace with, ms.service = dotnet-ml-api (#167) Co-authored-by: Docs Allowlist Management --- dotnet/docfx.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/dotnet/docfx.json b/dotnet/docfx.json index 562d5350d..8bd55514b 100644 --- a/dotnet/docfx.json +++ b/dotnet/docfx.json @@ -51,6 +51,7 @@ }, "externalReference": [], "globalMetadata": { + "ms.service": "dotnet-ml-api", "defaultDevLang": "csharp", "breadcrumb_path": "/dotnet/roslyn_dotnet_toc/breadcrumb/toc.json", "apiPlatform": "dotnet", @@ -60,7 +61,6 @@ "uhfHeaderId": "MSDocsHeader-DotNet", "searchScope": [".NET"], "ms.topic": "managed-reference", - "ms.prod": "dotnet-ml-api", "products": [ "https://authoring-docs-microsoft.poolparty.biz/devrel/08606f2f-3c25-4e53-8851-28888c60aeed" ], From 2cc99f79882798affae6d498f05270c5b1e21b0a Mon Sep 17 00:00:00 2001 From: VSC-Service-Account Date: Thu, 25 Jan 2024 23:02:15 +0000 Subject: [PATCH 02/12] CI Update Build.Reason:Manual by Alma Jenks Build.Url:https://apidrop.visualstudio.com/Content%20CI/_build/results?buildId=409292&view=results source_repo.branch:master source_repo.csvPath:bundlepackages/ml-dotnet source_repo.url:https://apidrop.visualstudio.com/binaries/_git/mrefconfig --- .../xml/FrameworksIndex/ml-dotnet-2.0.0.xml | 3005 +++++++++++++++++ .../xml/FrameworksIndex/ml-dotnet-preview.xml | 552 ++- dotnet/xml/FrameworksIndex/ml-dotnet.xml | 172 + .../BooleanDataFrameColumn.xml | 26 + .../ByteDataFrameColumn.xml | 26 + .../CharDataFrameColumn.xml | 26 + .../xml/Microsoft.Data.Analysis/DataFrame.xml | 248 +- .../DataFrameColumn.xml | 85 +- .../DataFrameColumnCollection.xml | 59 + 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.../ICSharpFile.xml | 2 +- .../CompositeDataLoader`2.xml | 10 +- .../Microsoft.ML.Data/DataViewTypeManager.xml | 12 +- .../DatabaseLoader+Column.xml | 32 - .../DatabaseLoader+Options.xml | 10 - .../DatabaseLoader+Range.xml | 24 - .../xml/Microsoft.ML.Data/DatabaseSource.xml | 8 +- dotnet/xml/Microsoft.ML.Data/IFileHandle.xml | 3 +- .../Microsoft.ML.Data/IMultiStreamSource.xml | 3 +- .../xml/Microsoft.ML.Data/IRowToRowMapper.xml | 3 +- dotnet/xml/Microsoft.ML.Data/KeyCount.xml | 6 - dotnet/xml/Microsoft.ML.Data/MLImage.xml | 20 + .../PredictionTransformerBase`1.xml | 10 +- .../RankingEvaluatorOptions.xml | 12 - .../Microsoft.ML.Data/TextLoader+Column.xml | 26 - .../Microsoft.ML.Data/TextLoader+Options.xml | 92 - .../Microsoft.ML.Data/TextLoader+Range.xml | 36 - .../Microsoft.ML.Data/TransformerChain`1.xml | 18 +- .../xml/Microsoft.ML.Data/VBufferEditor.xml | 6 +- dotnet/xml/Microsoft.ML.Data/VBuffer`1.xml | 44 +- dotnet/xml/Microsoft.ML.Runtime/IChannel.xml | 3 +- 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.../EnglishRoberta.xml | 52 + dotnet/xml/Microsoft.ML.Tokenizers/Model.xml | 52 + .../xml/Microsoft.ML.Tokenizers/Tokenizer.xml | 24 + .../Anchors.xml | 83 + .../Attention.xml | 85 + .../AutoFormerV2.xml | 105 + .../AutoFormerV2Backbone.xml | 96 + .../AutoFormerV2Block.xml | 99 + .../BasicLayer.xml | 98 + .../Conv2dBN.xml | 86 + .../ConvLayer.xml | 86 + .../ConvModule.xml | 88 + .../FPN.xml | 78 + .../MBConv.xml | 78 + .../MLP.xml | 80 + .../ObjectDetectionMetrics.xml | 82 + .../ObjectDetectionTrainer+Options.xml | 331 ++ .../ObjectDetectionTrainer.xml | 79 + .../ObjectDetectionTransformer.xml | 191 ++ .../PatchEmbed.xml | 76 + .../PatchMerging.xml | 82 + .../RetinaHead.xml | 82 + .../FocalLoss.xml | 85 + .../NasBertEncoder.xml | 162 + .../TransformerEncoder.xml | 41 + .../IIncrementalState.xml | 2 +- .../BertTaskType.xml | 67 + .../NasBertTrainer+NasBertOptions.xml | 395 +++ .../NasBertTrainer.xml | 71 +- .../NasBertTrainer`2.xml | 38 +- .../NasBertTransformer.xml | 20 - .../NasBertTransformer`2.xml | 57 +- .../NerTrainer+NerOptions.xml | 37 + .../NerTrainer.xml | 49 + .../NerTransformer.xml | 24 + ...arityTrainer+SentenceSimilarityOptions.xml | 37 + ...ationTrainer+TextClassificationOptions.xml | 37 + .../QATrainer+Options.xml | 184 + .../QATrainer.xml | 79 + .../QATransformer.xml | 134 + .../TorchSharpBaseTrainer+Options.xml | 226 ++ .../TorchSharpBaseTrainer.xml | 95 + .../TorchSharpBaseTrainer`2.xml | 51 + .../TorchSharpBaseTransformer.xml | 48 + .../TorchSharpBaseTransformer`2.xml | 133 + .../TorchSharpCatalog.xml | 404 +++ .../BoostedTreeOptions.xml | 174 - .../FastForestBinaryTrainer+Options.xml | 6 - .../FastForestBinaryTrainer.xml | 2 +- .../FastForestOptionsBase.xml | 6 - .../FastForestRegressionTrainer+Options.xml | 10 - .../FastForestRegressionTrainer.xml | 2 +- .../FastTreeBinaryTrainer+Options.xml | 20 - .../FastTreeBinaryTrainer.xml | 2 +- .../FastTreeRankingTrainer+Options.xml | 40 - .../FastTreeRankingTrainer.xml | 2 +- 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.../AveragedPerceptronTrainer.xml | 2 +- ...areFactorizationMachineTrainer+Options.xml | 88 - .../FieldAwareFactorizationMachineTrainer.xml | 2 +- .../ICalculateFeatureContribution.xml | 3 +- .../IClassificationLoss.xml | 3 +- .../Microsoft.ML.Trainers/ILossFunction`2.xml | 3 +- .../Microsoft.ML.Trainers/IRegressionLoss.xml | 3 +- .../xml/Microsoft.ML.Trainers/IScalarLoss.xml | 3 +- .../ISupportSdcaClassificationLoss.xml | 3 +- .../ISupportSdcaLoss.xml | 3 +- .../ISupportSdcaRegressionLoss.xml | 3 +- .../ITrainerEstimator`2.xml | 9 +- .../KMeansTrainer+Options.xml | 60 - ...ogisticRegressionBinaryTrainer+Options.xml | 6 - .../LbfgsLogisticRegressionBinaryTrainer.xml | 2 +- ...aximumEntropyMulticlassTrainer+Options.xml | 6 - .../LbfgsMaximumEntropyMulticlassTrainer.xml | 2 +- .../LbfgsPoissonRegressionTrainer.xml | 2 +- .../LbfgsTrainerBase`3+OptionsBase.xml | 122 +- .../LdSvmTrainer+Options.xml | 100 +- .../Microsoft.ML.Trainers/LdSvmTrainer.xml | 2 +- .../LinearSvmTrainer+Options.xml | 50 +- .../LinearSvmTrainer.xml | 2 +- .../MatrixFactorizationTrainer+Options.xml | 116 - .../MatrixFactorizationTrainer.xml | 2 +- .../NaiveBayesMulticlassModelParameters.xml | 4 +- .../OlsTrainer+Options.xml | 45 +- .../xml/Microsoft.ML.Trainers/OlsTrainer.xml | 2 +- .../OnlineGradientDescentTrainer.xml | 2 +- .../OnlineLinearOptions.xml | 38 +- .../RandomizedPcaTrainer+Options.xml | 44 - .../RandomizedPcaTrainer.xml | 2 +- ...aBinaryTrainerBase`1+BinaryOptionsBase.xml | 6 - .../SdcaLogisticRegressionBinaryTrainer.xml | 2 +- .../SdcaMaximumEntropyMulticlassTrainer.xml | 2 +- .../SdcaMulticlassTrainerBase`1.xml | 2 +- .../SdcaNonCalibratedBinaryTrainer.xml | 2 +- .../SdcaNonCalibratedMulticlassTrainer.xml | 2 +- .../SdcaRegressionTrainer.xml | 2 +- .../SdcaTrainerBase`3+OptionsBase.xml | 96 +- .../SgdBinaryTrainerBase`1+OptionsBase.xml | 84 +- .../SgdCalibratedTrainer.xml | 2 +- .../SgdNonCalibratedTrainer+Options.xml | 10 - .../SgdNonCalibratedTrainer.xml | 2 +- ...ogisticRegressionBinaryTrainer+Options.xml | 86 - ...olicSgdLogisticRegressionBinaryTrainer.xml | 2 +- .../TrainerInputBase.xml | 12 - .../TrainerInputBaseWithGroupId.xml | 12 - .../TrainerInputBaseWithLabel.xml | 12 - .../TrainerInputBaseWithWeight.xml | 12 - ...UnsupervisedTrainerInputBaseWithWeight.xml | 12 - .../ImageResizingEstimator+ResizingKind.xml | 18 - .../OnnxSequenceTypeAttribute.xml | 4 +- .../OnnxTransformer.xml | 10 +- .../IStopWordsRemoverOptions.xml | 3 +- .../LatentDirichletAllocationTransformer.xml | 14 +- ...mExtractingEstimator+WeightingCriteria.xml | 18 - .../TextFeaturizingEstimator+Options.xml | 36 - .../TextFeaturizingEstimator.xml | 2 +- .../WordBagEstimator.xml | 2 +- ...EmbeddingEstimator+PretrainedModelKind.xml | 60 - .../WordEmbeddingEstimator.xml | 2 +- .../WordHashBagEstimator.xml | 2 +- .../GrowthRatio.xml | 12 - .../PredictionFunctionExtensions.xml | 6 +- .../ColumnSelectingEstimator.xml | 2 +- .../CountFeatureSelectingEstimator.xml | 2 +- ...eatureContributionCalculatingEstimator.xml | 2 +- .../HashingEstimator.xml | 2 +- .../IFunctionProvider.xml | 3 +- .../KeyToValueMappingEstimator.xml | 2 +- .../KeyToVectorMappingEstimator.xml | 2 +- .../MissingValueIndicatorEstimator.xml | 2 +- .../MissingValueReplacingEstimator.xml | 2 +- ...alInformationFeatureSelectingEstimator.xml | 4 +- .../OneHotEncodingEstimator+OutputKind.xml | 24 - .../OneHotEncodingEstimator.xml | 2 +- .../OneHotHashEncodingEstimator.xml | 2 +- .../TensorFlowModel.xml | 10 +- .../TensorFlowTransformer.xml | 10 +- .../TransformInputBase.xml | 6 - .../TypeConvertingEstimator.xml | 2 +- .../ValueToKeyMappingEstimator.xml | 2 +- .../ValueToKeyMappingTransformer.xml | 1 - .../Microsoft.ML.Transforms/WhiteningKind.xml | 12 - .../ImageClassificationModelParameters.xml | 10 +- .../ImageClassificationTrainer+Options.xml | 108 - .../Microsoft.ML/AnomalyDetectionCatalog.xml | 4 +- .../BinaryClassificationCatalog.xml | 2 +- .../ConversionsExtensionsCatalog.xml | 18 +- .../xml/Microsoft.ML/CustomMappingCatalog.xml | 22 +- dotnet/xml/Microsoft.ML/ICanSaveModel.xml | 3 +- .../Microsoft.ML/IDataLoaderEstimator`2.xml | 3 +- dotnet/xml/Microsoft.ML/IDataLoader`1.xml | 3 +- dotnet/xml/Microsoft.ML/IDataView.xml | 3 +- dotnet/xml/Microsoft.ML/IEstimator`1.xml | 3 +- .../Microsoft.ML/IPredictionTransformer`1.xml | 3 +- .../ISingleFeaturePredictionTransformer`1.xml | 3 +- dotnet/xml/Microsoft.ML/ITransformer.xml | 3 +- .../Microsoft.ML/ImageEstimatorsCatalog.xml | 8 +- .../xml/Microsoft.ML/LightGbmExtensions.xml | 120 + dotnet/xml/Microsoft.ML/LoggingEventArgs.xml | 6 +- dotnet/xml/Microsoft.ML/MLContext.xml | 4 +- .../Microsoft.ML/ModelOperationsCatalog.xml | 4 +- .../xml/Microsoft.ML/NormalizationCatalog.xml | 48 +- dotnet/xml/Microsoft.ML/OnnxCatalog.xml | 58 +- ...PermutationFeatureImportanceExtensions.xml | 58 +- .../Microsoft.ML/PredictionEngineOptions.xml | 24 - dotnet/xml/Microsoft.ML/RankingCatalog.xml | 22 +- .../Microsoft.ML/StandardTrainersCatalog.xml | 24 +- dotnet/xml/Microsoft.ML/TensorflowCatalog.xml | 6 +- dotnet/xml/Microsoft.ML/TextCatalog.xml | 43 + .../Microsoft.ML/TextLoaderSaverCatalog.xml | 12 +- dotnet/xml/Microsoft.ML/TimeSeriesCatalog.xml | 134 +- dotnet/xml/Microsoft.ML/TreeExtensions.xml | 28 +- .../PackageInformation/ml-dotnet-2.0.0.json | 1 + .../PackageInformation/ml-dotnet-preview.json | 2 +- dotnet/xml/PackageInformation/ml-dotnet.json | 2 +- ...s-Microsoft.ML.TorchSharp.AutoFormerV2.xml | 6 + .../xml/ns-Microsoft.ML.TorchSharp.Loss.xml | 6 + ...Microsoft.ML.TorchSharp.NasBert.Models.xml | 6 + .../ns-Microsoft.ML.TorchSharp.Roberta.xml | 6 + 303 files changed, 12746 insertions(+), 3809 deletions(-) create mode 100644 dotnet/xml/FrameworksIndex/ml-dotnet-2.0.0.xml create mode 100644 dotnet/xml/Microsoft.Data.Analysis/Extensions.xml create mode 100644 dotnet/xml/Microsoft.Data.Analysis/VBufferDataFrameColumn`1.xml create mode 100644 dotnet/xml/Microsoft.ML.AutoML.CodeGen/ObjectDetectionOption.xml create mode 100644 dotnet/xml/Microsoft.ML.AutoML.CodeGen/QuestionAnsweringOption.xml create mode 100644 dotnet/xml/Microsoft.ML.AutoML.CodeGen/SentenceSimilarityOption.xml create mode 100644 dotnet/xml/Microsoft.ML.AutoML/DefaultPerformanceMonitor.xml create mode 100644 dotnet/xml/Microsoft.ML.AutoML/FairnessTrialResult.xml create mode 100644 dotnet/xml/Microsoft.ML.AutoML/ICrossValidateDatasetManager.xml create mode 100644 dotnet/xml/Microsoft.ML.AutoML/IPerformanceMonitor.xml create mode 100644 dotnet/xml/Microsoft.ML.AutoML/ITrainValidateDatasetManager.xml create mode 100644 dotnet/xml/Microsoft.ML.AutoML/TrialPerformanceMetrics.xml rename dotnet/xml/Microsoft.ML.SearchSpace.Option/{NestOption.xml => SearchSpace.xml} (84%) create mode 100644 dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/Anchors.xml create mode 100644 dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/Attention.xml create mode 100644 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create mode 100644 dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/ObjectDetectionTrainer.xml create mode 100644 dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/ObjectDetectionTransformer.xml create mode 100644 dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/PatchEmbed.xml create mode 100644 dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/PatchMerging.xml create mode 100644 dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/RetinaHead.xml create mode 100644 dotnet/xml/Microsoft.ML.TorchSharp.Loss/FocalLoss.xml create mode 100644 dotnet/xml/Microsoft.ML.TorchSharp.NasBert.Models/NasBertEncoder.xml create mode 100644 dotnet/xml/Microsoft.ML.TorchSharp.NasBert.Models/TransformerEncoder.xml create mode 100644 dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NasBertTrainer+NasBertOptions.xml delete mode 100644 dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NasBertTransformer.xml create mode 100644 dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NerTrainer+NerOptions.xml create mode 100644 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@@ -565,6 +567,7 @@ + @@ -575,9 +578,9 @@ - - - + + + @@ -602,15 +605,19 @@ + - - - + + + + + + @@ -748,11 +755,14 @@ + + + @@ -805,6 +815,8 @@ + + @@ -981,6 +993,7 @@ + @@ -1006,6 +1019,7 @@ + @@ -1023,6 +1037,7 @@ + @@ -1032,9 +1047,11 @@ + + @@ -1047,6 +1064,7 @@ + @@ -1083,6 +1101,7 @@ + @@ -1469,6 +1488,7 @@ + @@ -1874,6 +1894,10 @@ + + + + @@ -1926,6 +1950,7 @@ + @@ -2398,6 +2423,7 @@ + @@ -2868,6 +2894,7 @@ + @@ -3302,8 +3329,10 @@ + + @@ -3321,6 +3350,8 @@ + + @@ -3339,6 +3370,7 @@ + @@ -3364,13 +3396,10 @@ - - - @@ -3415,6 +3444,7 @@ + @@ -3885,6 +3915,7 @@ + @@ -4287,6 +4318,7 @@ + @@ -4302,6 +4334,8 @@ + + @@ -4354,6 +4388,7 @@ + @@ -4826,6 +4861,7 @@ + @@ -5296,6 +5332,7 @@ + @@ -5701,6 +5738,29 @@ + + + + + + + + + + + + + + + + + + + + + + + @@ -5784,7 +5844,7 @@ - + @@ -5815,12 +5875,14 @@ - - + + + + @@ -5855,6 +5917,7 @@ + @@ -5887,6 +5950,17 @@ + + + + + + + + + + + @@ -5919,6 +5993,7 @@ + @@ -5926,6 +6001,15 @@ + + + + + + + + + @@ -5947,12 +6031,25 @@ + + + + + + + + + + + + + @@ -6089,6 +6186,13 @@ + + + + + + + @@ -6103,7 +6207,9 @@ + + @@ -6125,6 +6231,7 @@ + @@ -6162,15 +6269,18 @@ + + - + + @@ -6195,6 +6305,7 @@ + @@ -6212,6 +6323,9 @@ + + + @@ -6252,6 +6366,7 @@ + @@ -6275,11 +6390,38 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + @@ -6302,6 +6444,16 @@ + + + + + + + + + + @@ -6397,18 +6549,73 @@ - - - - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + - - - + + + + + + + + + - - + + + + + + @@ -6452,14 +6659,6 @@ - - - - - - - - @@ -6493,72 +6692,6 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - @@ -6574,7 +6707,9 @@ + + @@ -6611,7 +6746,9 @@ + + @@ -6628,7 +6765,9 @@ + + @@ -6683,6 +6822,7 @@ + @@ -6718,37 +6858,181 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + - - + + + + + + + + + + + + + + + + + + + + - - - - + + + + + + + + + + + + + + + + + + + + + + @@ -6766,9 +7050,73 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/dotnet/xml/FrameworksIndex/ml-dotnet.xml b/dotnet/xml/FrameworksIndex/ml-dotnet.xml index 4110f0d0e..5c4c99384 100644 --- a/dotnet/xml/FrameworksIndex/ml-dotnet.xml +++ b/dotnet/xml/FrameworksIndex/ml-dotnet.xml @@ -10,6 +10,7 @@ + @@ -328,6 +329,20 @@ + + + + + + + + + + + + + + @@ -531,6 +546,7 @@ + @@ -942,6 +958,7 @@ + @@ -1195,6 +1212,7 @@ + @@ -1316,6 +1334,34 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + @@ -1661,6 +1707,7 @@ + @@ -2159,6 +2206,131 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/dotnet/xml/Microsoft.Data.Analysis/BooleanDataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/BooleanDataFrameColumn.xml index 3f40ef7a7..e3645e4a9 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/BooleanDataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/BooleanDataFrameColumn.xml @@ -166,6 +166,32 @@ To be added. + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Boolean> + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.Data.Analysis/ByteDataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/ByteDataFrameColumn.xml index 951f39f08..6bbf9410a 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/ByteDataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/ByteDataFrameColumn.xml @@ -642,6 +642,32 @@ To be added. + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Byte> + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.Data.Analysis/CharDataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/CharDataFrameColumn.xml index d0f060bcf..574b1ed78 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/CharDataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/CharDataFrameColumn.xml @@ -114,5 +114,31 @@ To be added. + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Char> + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.Data.Analysis/DataFrame.xml b/dotnet/xml/Microsoft.Data.Analysis/DataFrame.xml index 29cd75d01..87319b693 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/DataFrame.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/DataFrame.xml @@ -257,11 +257,11 @@ - - - - - + + + + + Method Microsoft.Data.Analysis @@ -273,24 +273,27 @@ + The rows to be appended to this DataFrame If set, appends in place. Otherwise, a new DataFrame is returned with the appended + culture info for formatting values Appends rows to the DataFrame To be added. If an input column's value doesn't match a DataFrameColumn's data type, a conversion will be attempted If a in is null, a null value is appended to each column + Values are appended based on the column names - - - - - + + + + + Method Microsoft.Data.Analysis @@ -302,10 +305,12 @@ + An enumeration of column name and value to be appended If set, appends in place. Otherwise, a new DataFrame is returned with an appended + Culture info for formatting values Appends a row by enumerating column names and values from To be added. @@ -313,11 +318,11 @@ - - - - - + + + + + Method Microsoft.Data.Analysis @@ -329,10 +334,12 @@ + If set, appends a in place. Otherwise, a new DataFrame is returned with an appended + Culture info for formatting values Appends a row to the DataFrame @@ -1121,6 +1128,30 @@ To be added. + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.DataFrame + + + + + + To be added. + To be added. + To be added. + To be added. + + @@ -1491,11 +1522,11 @@ - - - - - + + + + + Method Microsoft.Data.Analysis @@ -1514,6 +1545,8 @@ + + stream of CSV data to be read in @@ -1525,6 +1558,8 @@ number of rows used to guess types add one column with the row index The character encoding. Defaults to UTF8 if not specified + If set to true, columns with repeated names are auto-renamed. + culture info for formatting values Reads a seekable stream of CSV data into a DataFrame. @@ -1535,11 +1570,11 @@ - - - - - + + + + + Method Microsoft.Data.Analysis @@ -1558,6 +1593,8 @@ + + filename @@ -1569,6 +1606,8 @@ number of rows used to guess types add one column with the row index The character encoding. Defaults to UTF8 if not specified + If set to true, columns with repeated names are auto-renamed. + culture info for formatting values Reads a text file as a DataFrame. @@ -1577,11 +1616,11 @@ - - - - - + + + + + Method Microsoft.Data.Analysis @@ -1599,6 +1638,8 @@ + + csv data passed in as a string @@ -1609,6 +1650,8 @@ number of rows to read not including the header(if present) number of rows used to guess types add one column with the row index + If set to true, columns with repeated names are auto-renamed. + culture info for formatting values Reads CSV data passed in as a string into a DataFrame. @@ -1618,6 +1661,80 @@ To be added. + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + System.Threading.Tasks.Task<Microsoft.Data.Analysis.DataFrame> + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + System.Threading.Tasks.Task<Microsoft.Data.Analysis.DataFrame> + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.DataFrame + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + + @@ -5411,6 +5528,54 @@ To be added. + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + System.Void + + + + + + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + System.Void + + + + + + + To be added. + To be added. + To be added. + To be added. + + @@ -5534,7 +5699,7 @@ - Returns an without copying data + Returns an mostly without copying data To be added. To be added. @@ -5563,6 +5728,27 @@ To be added. + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + System.Data.DataTable + + + + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.Data.Analysis/DataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/DataFrameColumn.xml index daa28b67c..838dc66aa 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/DataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/DataFrameColumn.xml @@ -1014,6 +1014,52 @@ To be added. + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Boolean> + + + + + Performs an element-wise not equal to Null on each value in the column + + To be added. + To be added. + + + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Boolean> + + + + + Performs an element-wise equal to Null on each value in the column + + To be added. + To be added. + + @@ -2049,7 +2095,7 @@ - The name of this column. + The column name. To be added. To be added. @@ -5782,16 +5828,47 @@ - + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + System.Void + + + + + + The new name. + + Updates the column name. + + To be added. + + + + - + Method Microsoft.Data.Analysis 1.0.0.0 + + + [System.Obsolete] + [<System.Obsolete>] + + System.Void @@ -5801,7 +5878,7 @@ The new name. - If passed in, update the column name in + Ignored (for backward compatibility) Updates the name of this column. diff --git a/dotnet/xml/Microsoft.Data.Analysis/DataFrameColumnCollection.xml b/dotnet/xml/Microsoft.Data.Analysis/DataFrameColumnCollection.xml index b5b815d54..77d18aeb4 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/DataFrameColumnCollection.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/DataFrameColumnCollection.xml @@ -154,6 +154,34 @@ A column named cannot be found, or if the column's type doesn't match. + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.DateTimeDataFrameColumn + + + + + + The name of the column + + Gets the with the specified . + + + . + To be added. + A column named cannot be found, or if the column's type doesn't match. + + @@ -660,6 +688,31 @@ To be added. + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + System.Void + + + + + + + To be added. + To be added. + To be added. + To be added. + + @@ -671,6 +724,12 @@ Microsoft.Data.Analysis 1.0.0.0 + + + [System.Obsolete] + [<System.Obsolete>] + + System.Void diff --git a/dotnet/xml/Microsoft.Data.Analysis/DataFrameRow.xml b/dotnet/xml/Microsoft.Data.Analysis/DataFrameRow.xml index 713bfe754..9324b1361 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/DataFrameRow.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/DataFrameRow.xml @@ -58,6 +58,27 @@ To be added. + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + System.Collections.Generic.IEnumerable<System.Collections.Generic.KeyValuePair<System.String,System.Object>> + + + + To be added. + To be added. + To be added. + + @@ -84,6 +105,32 @@ To be added. + + + + + + + Property + + Microsoft.Data.Analysis + 1.0.0.0 + + + System.Object + + + + + + The name of the column that corresponds to the return value + + An indexer to return the value at . + + The value at this . + To be added. + + diff --git a/dotnet/xml/Microsoft.Data.Analysis/DateTimeDataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/DateTimeDataFrameColumn.xml index e4116ad24..7b19e16c4 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/DateTimeDataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/DateTimeDataFrameColumn.xml @@ -114,6 +114,32 @@ To be added. + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.DateTime> + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.Data.Analysis/DecimalDataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/DecimalDataFrameColumn.xml index 048023ded..72311d4fd 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/DecimalDataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/DecimalDataFrameColumn.xml @@ -582,6 +582,32 @@ To be added. + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Decimal> + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.Data.Analysis/DoubleDataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/DoubleDataFrameColumn.xml index ef96a4415..17422aa22 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/DoubleDataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/DoubleDataFrameColumn.xml @@ -634,6 +634,32 @@ To be added. + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Double> + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.Data.Analysis/Extensions.xml b/dotnet/xml/Microsoft.Data.Analysis/Extensions.xml new file mode 100644 index 000000000..482a70b3a --- /dev/null +++ b/dotnet/xml/Microsoft.Data.Analysis/Extensions.xml @@ -0,0 +1,73 @@ + + + + + + + + Microsoft.Data.Analysis + 1.0.0.0 + + + System.Object + + + + To be added. + To be added. + + + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + System.Data.Common.DbDataAdapter + + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + System.Boolean + + + + + + To be added. + To be added. + To be added. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.Data.Analysis/Int16DataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/Int16DataFrameColumn.xml index 6f73f8165..60fd363a9 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/Int16DataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/Int16DataFrameColumn.xml @@ -642,6 +642,32 @@ To be added. + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Int16> + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.Data.Analysis/Int32DataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/Int32DataFrameColumn.xml index 4247d41c4..45a508360 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/Int32DataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/Int32DataFrameColumn.xml @@ -662,6 +662,32 @@ To be added. + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Int32> + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.Data.Analysis/Int64DataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/Int64DataFrameColumn.xml index cd8acbfaf..db62f0cdd 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/Int64DataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/Int64DataFrameColumn.xml @@ -622,6 +622,32 @@ To be added. + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Int64> + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.Data.Analysis/PrimitiveDataFrameColumn`1.xml b/dotnet/xml/Microsoft.Data.Analysis/PrimitiveDataFrameColumn`1.xml index 46b5b9f55..2fa9eaa65 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/PrimitiveDataFrameColumn`1.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/PrimitiveDataFrameColumn`1.xml @@ -528,6 +528,30 @@ To be added. + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.PrimitiveDataFrameColumn<T> + + + + + + To be added. + To be added. + To be added. + To be added. + + @@ -663,6 +687,32 @@ + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.PrimitiveDataFrameColumn<T> + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + + @@ -1112,6 +1162,48 @@ + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Boolean> + + + + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Boolean> + + + + To be added. + To be added. + To be added. + + @@ -1539,8 +1631,8 @@ - [System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.PrimitiveDataFrameColumn<>+<GetReadOnlyDataBuffers>d__88))] - [<System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.PrimitiveDataFrameColumn<>+<GetReadOnlyDataBuffers>d__88))>] + [System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.PrimitiveDataFrameColumn<>+<GetReadOnlyDataBuffers>d__63))] + [<System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.PrimitiveDataFrameColumn<>+<GetReadOnlyDataBuffers>d__63))>] @@ -1569,8 +1661,8 @@ - [System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.PrimitiveDataFrameColumn<>+<GetReadOnlyNullBitMapBuffers>d__89))] - [<System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.PrimitiveDataFrameColumn<>+<GetReadOnlyNullBitMapBuffers>d__89))>] + [System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.PrimitiveDataFrameColumn<>+<GetReadOnlyNullBitMapBuffers>d__64))] + [<System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.PrimitiveDataFrameColumn<>+<GetReadOnlyNullBitMapBuffers>d__64))>] @@ -1585,6 +1677,30 @@ Each encodes the values for its corresponding Data buffer + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + System.Nullable<T> + + + + + + To be added. + To be added. + To be added. + To be added. + + @@ -2287,33 +2403,6 @@ - - - - - - - Method - - Microsoft.Data.Analysis - 1.0.0.0 - - - Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Boolean> - - - - - - - To be added. - To be added. - To be added. - To be added. - To be added. - - - @@ -2407,33 +2496,6 @@ - - - - - - - Method - - Microsoft.Data.Analysis - 1.0.0.0 - - - Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Boolean> - - - - - - - To be added. - To be added. - To be added. - To be added. - To be added. - - - @@ -2465,33 +2527,6 @@ - - - - - - - Method - - Microsoft.Data.Analysis - 1.0.0.0 - - - Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Boolean> - - - - - - - To be added. - To be added. - To be added. - To be added. - To be added. - - - diff --git a/dotnet/xml/Microsoft.Data.Analysis/SByteDataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/SByteDataFrameColumn.xml index 1cb1464f1..2262ac691 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/SByteDataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/SByteDataFrameColumn.xml @@ -642,6 +642,32 @@ To be added. + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.SByte> + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.Data.Analysis/SingleDataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/SingleDataFrameColumn.xml index 8820921dc..12c6800c5 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/SingleDataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/SingleDataFrameColumn.xml @@ -630,6 +630,32 @@ To be added. + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Single> + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.Data.Analysis/StringDataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/StringDataFrameColumn.xml index 185d435f3..be3ddd531 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/StringDataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/StringDataFrameColumn.xml @@ -417,6 +417,48 @@ + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Boolean> + + + + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Boolean> + + + + To be added. + To be added. + To be added. + + @@ -617,8 +659,8 @@ - [System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.StringDataFrameColumn+<GetEnumerator>d__31))] - [<System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.StringDataFrameColumn+<GetEnumerator>d__31))>] + [System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.StringDataFrameColumn+<GetEnumerator>d__34))] + [<System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.StringDataFrameColumn+<GetEnumerator>d__34))>] @@ -858,6 +900,25 @@ To be added. + + + + + + + Field + + Microsoft.Data.Analysis + 1.0.0.0 + + + System.Int32 + + + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.Data.Analysis/UInt16DataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/UInt16DataFrameColumn.xml index 55a9d5b7f..c90528bd0 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/UInt16DataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/UInt16DataFrameColumn.xml @@ -642,6 +642,32 @@ To be added. + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.UInt16> + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.Data.Analysis/UInt32DataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/UInt32DataFrameColumn.xml index 8c65a32ed..460f45656 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/UInt32DataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/UInt32DataFrameColumn.xml @@ -654,6 +654,32 @@ To be added. + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.UInt32> + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.Data.Analysis/UInt64DataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/UInt64DataFrameColumn.xml index 8eddea679..865286f5e 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/UInt64DataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/UInt64DataFrameColumn.xml @@ -610,6 +610,32 @@ To be added. + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.UInt64> + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.Data.Analysis/VBufferDataFrameColumn`1.xml b/dotnet/xml/Microsoft.Data.Analysis/VBufferDataFrameColumn`1.xml new file mode 100644 index 000000000..8ce360d2d --- /dev/null +++ b/dotnet/xml/Microsoft.Data.Analysis/VBufferDataFrameColumn`1.xml @@ -0,0 +1,549 @@ + + + + + + + + Microsoft.Data.Analysis + 1.0.0.0 + + + + + + Microsoft.Data.Analysis.DataFrameColumn + + + + System.Collections.Generic.IEnumerable<Microsoft.ML.Data.VBuffer<T>> + + + System.Collections.IEnumerable + + + + To be added. + + Column to hold VBuffer + + To be added. + + + + + + + + + Constructor + + Microsoft.Data.Analysis + 1.0.0.0 + + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Constructor + + Microsoft.Data.Analysis + 1.0.0.0 + + + + + + + The name of the column. + Length of values + + Constructs an empty VBufferDataFrameColumn with the given . + + To be added. + + + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + System.Void + + + + + + To be added. + To be added. + To be added. + + + + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + System.Void + + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + System.Void + + + + + + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.VBufferDataFrameColumn<T> + + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.DataFrameColumn + + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + System.Delegate + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + + + + + + Method + + M:System.Collections.Generic.IEnumerable`1.GetEnumerator + + + Microsoft.Data.Analysis + 1.0.0.0 + + + + [System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.VBufferDataFrameColumn<>+<GetEnumerator>d__17))] + [<System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.VBufferDataFrameColumn<>+<GetEnumerator>d__17))>] + + + + System.Collections.Generic.IEnumerator<Microsoft.ML.Data.VBuffer<T>> + + + + + Returns an enumerator that iterates through the VBuffer values in this column. + + To be added. + To be added. + + + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + System.Collections.IEnumerator + + + + To be added. + To be added. + To be added. + + + + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + System.Collections.Generic.Dictionary<System.Int64,System.Collections.Generic.ICollection<System.Int64>> + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.ML.Data.VBuffer<T> + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + System.Object + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + System.Delegate + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyList<System.Object> + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.ML.Data.VBuffer<T> + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Field + + Microsoft.Data.Analysis + 1.0.0.0 + + + System.Int32 + + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.Data.Analysis + 1.0.0.0 + + + System.Int64 + + + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + System.Void + + + + + + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + System.Void + + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + System.Void + + + + + + + To be added. + To be added. + To be added. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.Extensions.ML/ServiceCollectionExtensions.xml b/dotnet/xml/Microsoft.Extensions.ML/ServiceCollectionExtensions.xml index 4d7a40e19..c5bd0fe13 100644 --- a/dotnet/xml/Microsoft.Extensions.ML/ServiceCollectionExtensions.xml +++ b/dotnet/xml/Microsoft.Extensions.ML/ServiceCollectionExtensions.xml @@ -92,8 +92,8 @@ - - + + To be added. @@ -128,7 +128,7 @@ Microsoft.Extensions.DependencyInjection.IServiceCollection - + diff --git a/dotnet/xml/Microsoft.ML.AutoML.CodeGen/ConvertTypeOption.xml b/dotnet/xml/Microsoft.ML.AutoML.CodeGen/ConvertTypeOption.xml index 41a5e8a2c..f44eac580 100644 --- a/dotnet/xml/Microsoft.ML.AutoML.CodeGen/ConvertTypeOption.xml +++ b/dotnet/xml/Microsoft.ML.AutoML.CodeGen/ConvertTypeOption.xml @@ -73,5 +73,25 @@ To be added. + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + Microsoft.ML.Data.DataKind + + + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.ML.AutoML.CodeGen/EstimatorType.xml b/dotnet/xml/Microsoft.ML.AutoML.CodeGen/EstimatorType.xml index 4961e8c45..03c046217 100644 --- a/dotnet/xml/Microsoft.ML.AutoML.CodeGen/EstimatorType.xml +++ b/dotnet/xml/Microsoft.ML.AutoML.CodeGen/EstimatorType.xml @@ -18,10 +18,10 @@ - + - + Field Microsoft.ML.AutoML @@ -30,17 +30,17 @@ Microsoft.ML.AutoML.CodeGen.EstimatorType - 33 + 36 To be added. - + - + Field Microsoft.ML.AutoML @@ -49,17 +49,17 @@ Microsoft.ML.AutoML.CodeGen.EstimatorType - 22 + 25 To be added. - + - + Field Microsoft.ML.AutoML @@ -68,17 +68,17 @@ Microsoft.ML.AutoML.CodeGen.EstimatorType - 31 + 34 To be added. - + - + Field Microsoft.ML.AutoML @@ -87,17 +87,17 @@ Microsoft.ML.AutoML.CodeGen.EstimatorType - 37 + 40 To be added. - + - + Field Microsoft.ML.AutoML @@ -106,7 +106,7 @@ Microsoft.ML.AutoML.CodeGen.EstimatorType - 35 + 38 To be added. @@ -246,10 +246,10 @@ - + - + Field Microsoft.ML.AutoML @@ -258,17 +258,17 @@ Microsoft.ML.AutoML.CodeGen.EstimatorType - 30 + 33 To be added. - + - + Field Microsoft.ML.AutoML @@ -277,7 +277,7 @@ Microsoft.ML.AutoML.CodeGen.EstimatorType - 21 + 24 To be added. @@ -436,10 +436,10 @@ - + - + Field Microsoft.ML.AutoML @@ -448,17 +448,17 @@ Microsoft.ML.AutoML.CodeGen.EstimatorType - 36 + 39 To be added. - + - + Field Microsoft.ML.AutoML @@ -467,17 +467,17 @@ Microsoft.ML.AutoML.CodeGen.EstimatorType - 26 + 29 To be added. - + - + Field Microsoft.ML.AutoML @@ -486,17 +486,17 @@ Microsoft.ML.AutoML.CodeGen.EstimatorType - 27 + 30 To be added. - + - + Field Microsoft.ML.AutoML @@ -505,7 +505,7 @@ Microsoft.ML.AutoML.CodeGen.EstimatorType - 32 + 35 To be added. @@ -531,10 +531,10 @@ - + - + Field Microsoft.ML.AutoML @@ -543,17 +543,17 @@ Microsoft.ML.AutoML.CodeGen.EstimatorType - 23 + 26 To be added. - + - + Field Microsoft.ML.AutoML @@ -562,17 +562,36 @@ Microsoft.ML.AutoML.CodeGen.EstimatorType - 29 + 32 + + To be added. + + + + + + + + + Field + + Microsoft.ML.AutoML + 1.0.0.0 + + + Microsoft.ML.AutoML.CodeGen.EstimatorType + + 22 To be added. - + - + Field Microsoft.ML.AutoML @@ -581,17 +600,17 @@ Microsoft.ML.AutoML.CodeGen.EstimatorType - 24 + 27 To be added. - + - + Field Microsoft.ML.AutoML @@ -600,17 +619,36 @@ Microsoft.ML.AutoML.CodeGen.EstimatorType - 25 + 28 + + To be added. + + + + + + + + + Field + + Microsoft.ML.AutoML + 1.0.0.0 + + + Microsoft.ML.AutoML.CodeGen.EstimatorType + + 23 To be added. - + - + Field Microsoft.ML.AutoML @@ -619,17 +657,17 @@ Microsoft.ML.AutoML.CodeGen.EstimatorType - 28 + 31 To be added. - + - + Field Microsoft.ML.AutoML @@ -638,7 +676,7 @@ Microsoft.ML.AutoML.CodeGen.EstimatorType - 34 + 37 To be added. @@ -719,12 +757,31 @@ To be added. - - - - - - + + + + + + + Field + + Microsoft.ML.AutoML + 1.0.0.0 + + + Microsoft.ML.AutoML.CodeGen.EstimatorType + + 21 + + To be added. + + + + + + + + Field Microsoft.ML.AutoML @@ -740,10 +797,10 @@ - + - + Field Microsoft.ML.AutoML @@ -752,7 +809,7 @@ Microsoft.ML.AutoML.CodeGen.EstimatorType - 38 + 41 To be added. diff --git a/dotnet/xml/Microsoft.ML.AutoML.CodeGen/FastTreeOption.xml b/dotnet/xml/Microsoft.ML.AutoML.CodeGen/FastTreeOption.xml index 745efd676..307bfdc2e 100644 --- a/dotnet/xml/Microsoft.ML.AutoML.CodeGen/FastTreeOption.xml +++ b/dotnet/xml/Microsoft.ML.AutoML.CodeGen/FastTreeOption.xml @@ -33,6 +33,26 @@ To be added. + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Boolean + + + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.ML.AutoML.CodeGen/ImageClassificationOption.xml b/dotnet/xml/Microsoft.ML.AutoML.CodeGen/ImageClassificationOption.xml index c4c4c492f..9b5d4eb5f 100644 --- a/dotnet/xml/Microsoft.ML.AutoML.CodeGen/ImageClassificationOption.xml +++ b/dotnet/xml/Microsoft.ML.AutoML.CodeGen/ImageClassificationOption.xml @@ -33,6 +33,66 @@ To be added. + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + Microsoft.ML.Vision.ImageClassificationTrainer+Architecture + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Int32 + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Int32 + + + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.ML.AutoML.CodeGen/MapValueToKeyOption.xml b/dotnet/xml/Microsoft.ML.AutoML.CodeGen/MapValueToKeyOption.xml index 79b144f64..068cf34b9 100644 --- a/dotnet/xml/Microsoft.ML.AutoML.CodeGen/MapValueToKeyOption.xml +++ b/dotnet/xml/Microsoft.ML.AutoML.CodeGen/MapValueToKeyOption.xml @@ -33,6 +33,26 @@ To be added. + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Boolean + + + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.ML.AutoML.CodeGen/ObjectDetectionOption.xml b/dotnet/xml/Microsoft.ML.AutoML.CodeGen/ObjectDetectionOption.xml new file mode 100644 index 000000000..0dc2f1590 --- /dev/null +++ b/dotnet/xml/Microsoft.ML.AutoML.CodeGen/ObjectDetectionOption.xml @@ -0,0 +1,257 @@ + + + + + + + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Object + + + + To be added. + To be added. + + + + + + + + Constructor + + Microsoft.ML.AutoML + 1.0.0.0 + + + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.String + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.String + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Double + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Double + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.String + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Int32 + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.String + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.String + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.String + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Double + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Double + + + To be added. + To be added. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.AutoML.CodeGen/QuestionAnsweringOption.xml b/dotnet/xml/Microsoft.ML.AutoML.CodeGen/QuestionAnsweringOption.xml new file mode 100644 index 000000000..a141cd3ee --- /dev/null +++ b/dotnet/xml/Microsoft.ML.AutoML.CodeGen/QuestionAnsweringOption.xml @@ -0,0 +1,237 @@ + + + + + + + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Object + + + + To be added. + To be added. + + + + + + + + Constructor + + Microsoft.ML.AutoML + 1.0.0.0 + + + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.String + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + Microsoft.ML.TorchSharp.NasBert.BertArchitecture + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Int32 + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.String + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Int32 + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.String + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.String + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.String + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Int32 + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.String + + + To be added. + To be added. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.AutoML.CodeGen/SentenceSimilarityOption.xml b/dotnet/xml/Microsoft.ML.AutoML.CodeGen/SentenceSimilarityOption.xml new file mode 100644 index 000000000..172caa893 --- /dev/null +++ b/dotnet/xml/Microsoft.ML.AutoML.CodeGen/SentenceSimilarityOption.xml @@ -0,0 +1,177 @@ + + + + + + + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Object + + + + To be added. + To be added. + + + + + + + + Constructor + + Microsoft.ML.AutoML + 1.0.0.0 + + + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + Microsoft.ML.TorchSharp.NasBert.BertArchitecture + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Int32 + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.String + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Int32 + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.String + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.String + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.String + + + To be added. + To be added. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.AutoML/AutoCatalog.xml b/dotnet/xml/Microsoft.ML.AutoML/AutoCatalog.xml index 5b38fb842..de484112c 100644 --- a/dotnet/xml/Microsoft.ML.AutoML/AutoCatalog.xml +++ b/dotnet/xml/Microsoft.ML.AutoML/AutoCatalog.xml @@ -20,11 +20,11 @@ - - + + - - + + Method Microsoft.ML.AutoML @@ -40,18 +40,18 @@ - - + + - - + + - - + + label column name. @@ -60,18 +60,18 @@ true if use fast forest as available trainer. true if use lgbm as available trainer. true if use fast tree as available trainer. - true if use lbfgs as available trainer. - true if use sdca as available trainer. + true if use as available trainer. + true if use as available trainer. if provided, use it as initial option for fast tree, otherwise the default option will be used. if provided, use it as initial option for lgbm, otherwise the default option will be used. if provided, use it as initial option for fast forest, otherwise the default option will be used. - if provided, use it as initial option for lbfgs, otherwise the default option will be used. - if provided, use it as initial option for sdca, otherwise the default option will be used. + if provided, use it as initial option for , otherwise the default option will be used. + if provided, use it as initial option for , otherwise the default option will be used. if provided, use it as search space for fast tree, otherwise the default search space will be used. if provided, use it as search space for lgbm, otherwise the default search space will be used. if provided, use it as search space for fast forest, otherwise the default search space will be used. - if provided, use it as search space for lbfgs, otherwise the default search space will be used. - if provided, use it as search space for sdca, otherwise the default search space will be used. + if provided, use it as search space for , otherwise the default search space will be used. + if provided, use it as search space for , otherwise the default search space will be used. Create a list of for binary classification. @@ -450,6 +450,11 @@ To be added. To be added. + + + @@ -668,11 +673,11 @@ - - - - - + + + + + Method Microsoft.ML.AutoML @@ -688,18 +693,24 @@ - - + + + + - - + + + + - - + + + + label column name. @@ -708,18 +719,24 @@ true if use fast forest as available trainer. true if use lgbm as available trainer. true if use fast tree as available trainer. - true if use lbfgs as available trainer. - true if use sdca as available trainer. + true if use as available trainer. + true if use as available trainer. + true if use as available trainer. + true if use as available trainer. if provided, use it as initial option for fast tree, otherwise the default option will be used. if provided, use it as initial option for lgbm, otherwise the default option will be used. if provided, use it as initial option for fast forest, otherwise the default option will be used. - if provided, use it as initial option for lbfgs, otherwise the default option will be used. - if provided, use it as initial option for sdca, otherwise the default option will be used. + if provided, use it as initial option for , otherwise the default option will be used. + if provided, use it as initial option for , otherwise the default option will be used. + if provided, use it as initial option for , otherwise the default option will be used. + if provided, use it as initial option for , otherwise the default option will be used. if provided, use it as search space for fast tree, otherwise the default search space will be used. if provided, use it as search space for lgbm, otherwise the default search space will be used. if provided, use it as search space for fast forest, otherwise the default search space will be used. - if provided, use it as search space for lbfgs, otherwise the default search space will be used. - if provided, use it as search space for sdca, otherwise the default search space will be used. + if provided, use it as search space for , otherwise the default search space will be used. + if provided, use it as search space for , otherwise the default search space will be used. + if provided, use it as search space for , otherwise the default search space will be used. + if provided, use it as search space for , otherwise the default search space will be used. Create a list of for multiclass classification. @@ -728,11 +745,11 @@ - - + + - - + + Method Microsoft.ML.AutoML @@ -748,17 +765,17 @@ - + - + - + @@ -768,17 +785,17 @@ true if use fast forest as available trainer. true if use lgbm as available trainer. true if use fast tree as available trainer. - true if use lbfgs as available trainer. - true if use sdca as available trainer. + true if use as available trainer. + true if use as available trainer. if provided, use it as initial option for fast tree, otherwise the default option will be used. if provided, use it as initial option for lgbm, otherwise the default option will be used. if provided, use it as initial option for fast forest, otherwise the default option will be used. - if provided, use it as initial option for lbfgs, otherwise the default option will be used. - if provided, use it as initial option for sdca, otherwise the default option will be used. + if provided, use it as initial option for , otherwise the default option will be used. + if provided, use it as initial option for , otherwise the default option will be used. if provided, use it as search space for fast tree, otherwise the default search space will be used. if provided, use it as search space for lgbm, otherwise the default search space will be used. if provided, use it as search space for fast forest, otherwise the default search space will be used. - if provided, use it as search space for lbfgs, otherwise the default search space will be used. + if provided, use it as search space for , otherwise the default search space will be used. if provided, use it as search space for sdca, otherwise the default search space will be used. Create a list of for regression. diff --git a/dotnet/xml/Microsoft.ML.AutoML/AutoMLExperiment.xml b/dotnet/xml/Microsoft.ML.AutoML/AutoMLExperiment.xml index 6389a6161..0048626cd 100644 --- a/dotnet/xml/Microsoft.ML.AutoML/AutoMLExperiment.xml +++ b/dotnet/xml/Microsoft.ML.AutoML/AutoMLExperiment.xml @@ -13,8 +13,15 @@ - To be added. + + The class for AutoML experiment + To be added. + + + diff --git a/dotnet/xml/Microsoft.ML.AutoML/AutoMLExperimentExtension.xml b/dotnet/xml/Microsoft.ML.AutoML/AutoMLExperimentExtension.xml index ff8093345..07b525091 100644 --- a/dotnet/xml/Microsoft.ML.AutoML/AutoMLExperimentExtension.xml +++ b/dotnet/xml/Microsoft.ML.AutoML/AutoMLExperimentExtension.xml @@ -147,11 +147,11 @@ - - - - - + + + + + Method Microsoft.ML.AutoML @@ -164,6 +164,7 @@ + @@ -171,6 +172,7 @@ dataset for training a model. dataset for validating a model during training. + determine if subsampling to train. This will be useful if is too large to be held in memory. Set train and validation dataset for . This will make uses to train a model, and use to evaluate the model. @@ -182,11 +184,11 @@ - - - - - + + + + + Method Microsoft.ML.AutoML @@ -199,13 +201,15 @@ + dataset for cross-validation split. - + number of cross-validation folds + column name for sampling key Set cross-validation dataset for . This will make use n= cross-validation split on to train and evaluate a model. @@ -328,10 +332,90 @@ - To be added. - To be added. - To be added. - To be added. + + + + the interval in milliseconds for to sample + + Set as for . + + + To be added. + + + + + + + + + Method + + Microsoft.ML.AutoML + 1.0.0.0 + + + Microsoft.ML.AutoML.AutoMLExperiment + + + + + ReferenceTypeConstraint + Microsoft.ML.AutoML.IPerformanceMonitor + + + + + + + + + + + + + Set a custom performance monitor as for . + + + To be added. + + + + + + + + + Method + + Microsoft.ML.AutoML + 1.0.0.0 + + + Microsoft.ML.AutoML.AutoMLExperiment + + + + + ReferenceTypeConstraint + Microsoft.ML.AutoML.IPerformanceMonitor + + + + + + + + + + + + + + + Set a custom performance monitor as for . + + To be added. diff --git a/dotnet/xml/Microsoft.ML.AutoML/BinaryExperimentSettings.xml b/dotnet/xml/Microsoft.ML.AutoML/BinaryExperimentSettings.xml index e64de18c7..1004561e3 100644 --- a/dotnet/xml/Microsoft.ML.AutoML/BinaryExperimentSettings.xml +++ b/dotnet/xml/Microsoft.ML.AutoML/BinaryExperimentSettings.xml @@ -81,5 +81,27 @@ To be added. + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Boolean + + + + Set if use for hyper-parameter optimization, default to false. + + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.ML.AutoML/DefaultPerformanceMonitor.xml b/dotnet/xml/Microsoft.ML.AutoML/DefaultPerformanceMonitor.xml new file mode 100644 index 000000000..0de98d6ec --- /dev/null +++ b/dotnet/xml/Microsoft.ML.AutoML/DefaultPerformanceMonitor.xml @@ -0,0 +1,244 @@ + + + + + + + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Object + + + + Microsoft.ML.AutoML.IPerformanceMonitor + + + System.IDisposable + + + + To be added. + To be added. + + + + + + + + + Constructor + + Microsoft.ML.AutoML + 1.0.0.0 + + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + M:System.IDisposable.Dispose + + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Void + + + + To be added. + To be added. + + + + + + + + + Method + + M:Microsoft.ML.AutoML.IPerformanceMonitor.GetPeakCpuUsage + + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Nullable<System.Double> + + + + To be added. + To be added. + To be added. + + + + + + + + + Method + + M:Microsoft.ML.AutoML.IPerformanceMonitor.GetPeakMemoryUsageInMegaByte + + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Nullable<System.Double> + + + + To be added. + To be added. + To be added. + + + + + + + + + Method + + M:Microsoft.ML.AutoML.IPerformanceMonitor.OnPerformanceMetricsUpdatedHandler(Microsoft.ML.AutoML.TrialSettings,Microsoft.ML.AutoML.TrialPerformanceMetrics,System.Threading.CancellationTokenSource) + + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Void + + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + M:Microsoft.ML.AutoML.IPerformanceMonitor.Pause + + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Void + + + + To be added. + To be added. + + + + + + + + + Event + + E:Microsoft.ML.AutoML.IPerformanceMonitor.PerformanceMetricsUpdated + + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.EventHandler<Microsoft.ML.AutoML.TrialPerformanceMetrics> + + + To be added. + To be added. + + + + + + + + + Method + + M:Microsoft.ML.AutoML.IPerformanceMonitor.Start + + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Void + + + + To be added. + To be added. + + + + + + + + + Method + + M:Microsoft.ML.AutoML.IPerformanceMonitor.Stop + + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Void + + + + To be added. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.AutoML/ExperimentSettings.xml b/dotnet/xml/Microsoft.ML.AutoML/ExperimentSettings.xml index 22f7b5506..6c06df863 100644 --- a/dotnet/xml/Microsoft.ML.AutoML/ExperimentSettings.xml +++ b/dotnet/xml/Microsoft.ML.AutoML/ExperimentSettings.xml @@ -165,5 +165,24 @@ To be added. + + + + + + + Field + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Int32 + + + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.ML.AutoML/FairnessTrialResult.xml b/dotnet/xml/Microsoft.ML.AutoML/FairnessTrialResult.xml new file mode 100644 index 000000000..2f1ca4aff --- /dev/null +++ b/dotnet/xml/Microsoft.ML.AutoML/FairnessTrialResult.xml @@ -0,0 +1,57 @@ + + + + + + + + Microsoft.ML.AutoML + 1.0.0.0 + + + Microsoft.ML.AutoML.TrialResult + + + + To be added. + To be added. + + + + + + + + Constructor + + Microsoft.ML.AutoML + 1.0.0.0 + + + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Double + + + To be added. + To be added. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.AutoML/ICrossValidateDatasetManager.xml b/dotnet/xml/Microsoft.ML.AutoML/ICrossValidateDatasetManager.xml new file mode 100644 index 000000000..6f37971c0 --- /dev/null +++ b/dotnet/xml/Microsoft.ML.AutoML/ICrossValidateDatasetManager.xml @@ -0,0 +1,90 @@ + + + + + + + + Microsoft.ML.AutoML + 1.0.0.0 + + + + Microsoft.ML.AutoML.IDatasetManager + + + + + Inferface for cross validate dataset manager. + + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + Microsoft.ML.IDataView + + + + The dataset to cross validate. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Int32 + + + + Cross validate fold. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.String + + + + The dataset column used for grouping rows. + + To be added. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.AutoML/IDatasetManager.xml b/dotnet/xml/Microsoft.ML.AutoML/IDatasetManager.xml index bf4434a59..bd316078a 100644 --- a/dotnet/xml/Microsoft.ML.AutoML/IDatasetManager.xml +++ b/dotnet/xml/Microsoft.ML.AutoML/IDatasetManager.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.AutoML/IEvaluateMetricManager.xml b/dotnet/xml/Microsoft.ML.AutoML/IEvaluateMetricManager.xml index 878be6cd8..734a12eac 100644 --- a/dotnet/xml/Microsoft.ML.AutoML/IEvaluateMetricManager.xml +++ b/dotnet/xml/Microsoft.ML.AutoML/IEvaluateMetricManager.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.AutoML/IMetricManager.xml b/dotnet/xml/Microsoft.ML.AutoML/IMetricManager.xml index 3b4604efd..8dc6cae2e 100644 --- a/dotnet/xml/Microsoft.ML.AutoML/IMetricManager.xml +++ b/dotnet/xml/Microsoft.ML.AutoML/IMetricManager.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.AutoML/IMonitor.xml b/dotnet/xml/Microsoft.ML.AutoML/IMonitor.xml index e0ad4edde..081e00e24 100644 --- a/dotnet/xml/Microsoft.ML.AutoML/IMonitor.xml +++ b/dotnet/xml/Microsoft.ML.AutoML/IMonitor.xml @@ -1,6 +1,6 @@ - + @@ -88,11 +88,11 @@ - - + + - - + + Method Microsoft.ML.AutoML @@ -102,10 +102,10 @@ System.Void - + - To be added. + To be added. To be added. To be added. diff --git a/dotnet/xml/Microsoft.ML.AutoML/IPerformanceMonitor.xml b/dotnet/xml/Microsoft.ML.AutoML/IPerformanceMonitor.xml new file mode 100644 index 000000000..fbcd2e81e --- /dev/null +++ b/dotnet/xml/Microsoft.ML.AutoML/IPerformanceMonitor.xml @@ -0,0 +1,172 @@ + + + + + + + + Microsoft.ML.AutoML + 1.0.0.0 + + + + System.IDisposable + + + + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Nullable<System.Double> + + + + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Nullable<System.Double> + + + + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Void + + + + + + + + To be added. + To be added. + To be added. + + The handler function every time get fired. + + To be added. + + + + + + + + + Method + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Void + + + + To be added. + To be added. + + + + + + + + + Event + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.EventHandler<Microsoft.ML.AutoML.TrialPerformanceMetrics> + + + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Void + + + + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Void + + + + To be added. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.AutoML/ISweepable.xml b/dotnet/xml/Microsoft.ML.AutoML/ISweepable.xml index dd8a28c18..b9630aa0e 100644 --- a/dotnet/xml/Microsoft.ML.AutoML/ISweepable.xml +++ b/dotnet/xml/Microsoft.ML.AutoML/ISweepable.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.AutoML/ISweepable`1.xml b/dotnet/xml/Microsoft.ML.AutoML/ISweepable`1.xml index 69f5f722f..02af83e44 100644 --- a/dotnet/xml/Microsoft.ML.AutoML/ISweepable`1.xml +++ b/dotnet/xml/Microsoft.ML.AutoML/ISweepable`1.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.AutoML/ITrainValidateDatasetManager.xml b/dotnet/xml/Microsoft.ML.AutoML/ITrainValidateDatasetManager.xml new file mode 100644 index 000000000..5b0d25198 --- /dev/null +++ b/dotnet/xml/Microsoft.ML.AutoML/ITrainValidateDatasetManager.xml @@ -0,0 +1,74 @@ + + + + + + + + Microsoft.ML.AutoML + 1.0.0.0 + + + + Microsoft.ML.AutoML.IDatasetManager + + + + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.AutoML + 1.0.0.0 + + + Microsoft.ML.IDataView + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.AutoML + 1.0.0.0 + + + Microsoft.ML.IDataView + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.AutoML/ITrialRunner.xml b/dotnet/xml/Microsoft.ML.AutoML/ITrialRunner.xml index 1761db288..c44ad2f11 100644 --- a/dotnet/xml/Microsoft.ML.AutoML/ITrialRunner.xml +++ b/dotnet/xml/Microsoft.ML.AutoML/ITrialRunner.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.AutoML/ITuner.xml b/dotnet/xml/Microsoft.ML.AutoML/ITuner.xml index 1c2ebbffe..6368beb6f 100644 --- a/dotnet/xml/Microsoft.ML.AutoML/ITuner.xml +++ b/dotnet/xml/Microsoft.ML.AutoML/ITuner.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.AutoML/TrialPerformanceMetrics.xml b/dotnet/xml/Microsoft.ML.AutoML/TrialPerformanceMetrics.xml new file mode 100644 index 000000000..7aeb51022 --- /dev/null +++ b/dotnet/xml/Microsoft.ML.AutoML/TrialPerformanceMetrics.xml @@ -0,0 +1,127 @@ + + + + + + + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Object + + + + + Performance metrics for a trial. + + To be added. + + + + + + + + Constructor + + Microsoft.ML.AutoML + 1.0.0.0 + + + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Double + + + + Current CPU usage of the runner process + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Double + + + + Current memory usage of the runner process in megabytes + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Nullable<System.Double> + + + + Peak CPU usage during the trial + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Nullable<System.Double> + + + + Peak memory usage during the trial in megabytes + + To be added. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.AutoML/TrialSettings.xml b/dotnet/xml/Microsoft.ML.AutoML/TrialSettings.xml index 2e1c14415..446b74234 100644 --- a/dotnet/xml/Microsoft.ML.AutoML/TrialSettings.xml +++ b/dotnet/xml/Microsoft.ML.AutoML/TrialSettings.xml @@ -13,7 +13,9 @@ - To be added. + + Settings used for the trial + To be added. @@ -33,6 +35,28 @@ To be added. + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Nullable<System.DateTime> + + + + UTC time when the trial ended, null if it's still running + + To be added. + To be added. + + @@ -48,7 +72,31 @@ Microsoft.ML.SearchSpace.Parameter - To be added. + + Parameters for the pipeline used in this trial + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.DateTime + + + + UTC time when the trial started + To be added. To be added. @@ -68,7 +116,9 @@ System.Int32 - To be added. + + Identifier of the trial + To be added. To be added. diff --git a/dotnet/xml/Microsoft.ML.Calibrators/ICalibrator.xml b/dotnet/xml/Microsoft.ML.Calibrators/ICalibrator.xml index b43cd6d25..685f5a372 100644 --- a/dotnet/xml/Microsoft.ML.Calibrators/ICalibrator.xml +++ b/dotnet/xml/Microsoft.ML.Calibrators/ICalibrator.xml @@ -1,9 +1,10 @@ - + + Microsoft.ML.Data 1.0.0.0 diff --git a/dotnet/xml/Microsoft.ML.CodeGenerator.CodeGenerator/IWritable.xml b/dotnet/xml/Microsoft.ML.CodeGenerator.CodeGenerator/IWritable.xml index fbb0c7cb2..6174e5bb2 100644 --- a/dotnet/xml/Microsoft.ML.CodeGenerator.CodeGenerator/IWritable.xml +++ b/dotnet/xml/Microsoft.ML.CodeGenerator.CodeGenerator/IWritable.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.CodeGenerator/ICSharpFile.xml b/dotnet/xml/Microsoft.ML.CodeGenerator/ICSharpFile.xml index 8aef053df..31d8cf76b 100644 --- a/dotnet/xml/Microsoft.ML.CodeGenerator/ICSharpFile.xml +++ b/dotnet/xml/Microsoft.ML.CodeGenerator/ICSharpFile.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Data/CompositeDataLoader`2.xml b/dotnet/xml/Microsoft.ML.Data/CompositeDataLoader`2.xml index 301d0a148..d5cd0249d 100644 --- a/dotnet/xml/Microsoft.ML.Data/CompositeDataLoader`2.xml +++ b/dotnet/xml/Microsoft.ML.Data/CompositeDataLoader`2.xml @@ -1,9 +1,9 @@ - - + + - - + + @@ -31,7 +31,7 @@ Microsoft.ML.IDataLoader<TSource> - + System.IDisposable diff --git a/dotnet/xml/Microsoft.ML.Data/DataViewTypeManager.xml b/dotnet/xml/Microsoft.ML.Data/DataViewTypeManager.xml index e75cb4bad..3f0e7ec7d 100644 --- a/dotnet/xml/Microsoft.ML.Data/DataViewTypeManager.xml +++ b/dotnet/xml/Microsoft.ML.Data/DataViewTypeManager.xml @@ -36,9 +36,9 @@ System.Void - - - + + + The corresponding type of in ML.NET's type system. @@ -52,10 +52,10 @@ - + - + @@ -65,7 +65,7 @@ 1.0.0.0 - + [System.Obsolete("This API is deprecated, please use the new form of Register which takes in a single DataViewTypeAttribute instead.", false)] [<System.Obsolete("This API is deprecated, please use the new form of Register which takes in a single DataViewTypeAttribute instead.", false)>] diff --git a/dotnet/xml/Microsoft.ML.Data/DatabaseLoader+Column.xml b/dotnet/xml/Microsoft.ML.Data/DatabaseLoader+Column.xml index 8ba4f0f5e..a5903f0ff 100644 --- a/dotnet/xml/Microsoft.ML.Data/DatabaseLoader+Column.xml +++ b/dotnet/xml/Microsoft.ML.Data/DatabaseLoader+Column.xml @@ -145,16 +145,6 @@ Microsoft.ML.Data 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="For a key column, this defines the range of values", ShortName="key")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="For a key column, this defines the range of values", ShortName="key")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="For a key column, this defines the range of values", ShortName="key")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="For a key column, this defines the range of values", ShortName="key")>] - - Microsoft.ML.Data.KeyCount @@ -180,12 +170,6 @@ Microsoft.ML.Data 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Name of the column")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Name of the column")>] - - System.String @@ -211,16 +195,6 @@ Microsoft.ML.Data 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Source index range(s) of the column", ShortName="src")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Source index range(s) of the column", ShortName="src")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Source index range(s) of the column", ShortName="src")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Source index range(s) of the column", ShortName="src")>] - - Microsoft.ML.Data.DatabaseLoader+Range[] @@ -246,12 +220,6 @@ Microsoft.ML.Data 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Type of the items in the column")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Type of the items in the column")>] - - System.Data.DbType diff --git a/dotnet/xml/Microsoft.ML.Data/DatabaseLoader+Options.xml b/dotnet/xml/Microsoft.ML.Data/DatabaseLoader+Options.xml index faa36d3ad..5c2b685da 100644 --- a/dotnet/xml/Microsoft.ML.Data/DatabaseLoader+Options.xml +++ b/dotnet/xml/Microsoft.ML.Data/DatabaseLoader+Options.xml @@ -57,16 +57,6 @@ Microsoft.ML.Data 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Column groups. Each group is specified as name:type:numeric-ranges, eg, col=Features:R4:1-17,26,35-40", Name="Column", ShortName="col", SortOrder=1)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Column groups. Each group is specified as name:type:numeric-ranges, eg, col=Features:R4:1-17,26,35-40", Name="Column", ShortName="col", SortOrder=1)>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Column groups. Each group is specified as name:type:numeric-ranges, eg, col=Features:R4:1-17,26,35-40", Name="Column", ShortName="col", SortOrder=1)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Column groups. Each group is specified as name:type:numeric-ranges, eg, col=Features:R4:1-17,26,35-40", Name="Column", ShortName="col", SortOrder=1)>] - - Microsoft.ML.Data.DatabaseLoader+Column[] diff --git a/dotnet/xml/Microsoft.ML.Data/DatabaseLoader+Range.xml b/dotnet/xml/Microsoft.ML.Data/DatabaseLoader+Range.xml index 57a4146bc..c00165b26 100644 --- a/dotnet/xml/Microsoft.ML.Data/DatabaseLoader+Range.xml +++ b/dotnet/xml/Microsoft.ML.Data/DatabaseLoader+Range.xml @@ -114,12 +114,6 @@ Microsoft.ML.Data 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Force scalar columns to be treated as vectors of length one", ShortName="vector")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Force scalar columns to be treated as vectors of length one", ShortName="vector")>] - - System.Boolean @@ -141,12 +135,6 @@ Microsoft.ML.Data 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Last index in the range")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Last index in the range")>] - - System.Int32 @@ -170,12 +158,6 @@ Microsoft.ML.Data 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.Required, HelpText="First index in the range")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.Required, HelpText="First index in the range")>] - - System.Int32 @@ -199,12 +181,6 @@ Microsoft.ML.Data 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Name of the column")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Name of the column")>] - - System.String diff --git a/dotnet/xml/Microsoft.ML.Data/DatabaseSource.xml b/dotnet/xml/Microsoft.ML.Data/DatabaseSource.xml index 2b894e905..90392407c 100644 --- a/dotnet/xml/Microsoft.ML.Data/DatabaseSource.xml +++ b/dotnet/xml/Microsoft.ML.Data/DatabaseSource.xml @@ -61,10 +61,10 @@ 1.0.0.0 - - - - + + + + The factory used to create the .. diff --git a/dotnet/xml/Microsoft.ML.Data/IFileHandle.xml b/dotnet/xml/Microsoft.ML.Data/IFileHandle.xml index 400784ef8..491f5bb90 100644 --- a/dotnet/xml/Microsoft.ML.Data/IFileHandle.xml +++ b/dotnet/xml/Microsoft.ML.Data/IFileHandle.xml @@ -1,9 +1,10 @@ - + + Microsoft.ML.Core 1.0.0.0 diff --git a/dotnet/xml/Microsoft.ML.Data/IMultiStreamSource.xml b/dotnet/xml/Microsoft.ML.Data/IMultiStreamSource.xml index 49bc441ce..9aab2a516 100644 --- a/dotnet/xml/Microsoft.ML.Data/IMultiStreamSource.xml +++ b/dotnet/xml/Microsoft.ML.Data/IMultiStreamSource.xml @@ -1,9 +1,10 @@ - + + Microsoft.ML.Data 1.0.0.0 diff --git a/dotnet/xml/Microsoft.ML.Data/IRowToRowMapper.xml b/dotnet/xml/Microsoft.ML.Data/IRowToRowMapper.xml index 421a62e12..0e17b6c8f 100644 --- a/dotnet/xml/Microsoft.ML.Data/IRowToRowMapper.xml +++ b/dotnet/xml/Microsoft.ML.Data/IRowToRowMapper.xml @@ -1,9 +1,10 @@ - + + Microsoft.ML.Core 1.0.0.0 diff --git a/dotnet/xml/Microsoft.ML.Data/KeyCount.xml b/dotnet/xml/Microsoft.ML.Data/KeyCount.xml index 1b28af6c5..beea45c47 100644 --- a/dotnet/xml/Microsoft.ML.Data/KeyCount.xml +++ b/dotnet/xml/Microsoft.ML.Data/KeyCount.xml @@ -71,12 +71,6 @@ Microsoft.ML.Data 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Count of valid key values")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Count of valid key values")>] - - System.Nullable<System.UInt64> diff --git a/dotnet/xml/Microsoft.ML.Data/MLImage.xml b/dotnet/xml/Microsoft.ML.Data/MLImage.xml index edd469e4a..66498668e 100644 --- a/dotnet/xml/Microsoft.ML.Data/MLImage.xml +++ b/dotnet/xml/Microsoft.ML.Data/MLImage.xml @@ -154,6 +154,26 @@ To be added. + + + + + + + Property + + Microsoft.ML.ImageAnalytics + 1.0.0.0 + + + System.Byte[] + + + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.ML.Data/PredictionTransformerBase`1.xml b/dotnet/xml/Microsoft.ML.Data/PredictionTransformerBase`1.xml index 71ae9c0c5..6b9d4b115 100644 --- a/dotnet/xml/Microsoft.ML.Data/PredictionTransformerBase`1.xml +++ b/dotnet/xml/Microsoft.ML.Data/PredictionTransformerBase`1.xml @@ -1,9 +1,9 @@ - - + + - - + + @@ -32,7 +32,7 @@ Microsoft.ML.ITransformer - + System.IDisposable diff --git a/dotnet/xml/Microsoft.ML.Data/RankingEvaluatorOptions.xml b/dotnet/xml/Microsoft.ML.Data/RankingEvaluatorOptions.xml index 9be433a69..26094495a 100644 --- a/dotnet/xml/Microsoft.ML.Data/RankingEvaluatorOptions.xml +++ b/dotnet/xml/Microsoft.ML.Data/RankingEvaluatorOptions.xml @@ -46,12 +46,6 @@ Microsoft.ML.Data 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Maximum truncation level for computing (N)DCG", ShortName="t")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Maximum truncation level for computing (N)DCG", ShortName="t")>] - - System.Int32 @@ -74,12 +68,6 @@ Microsoft.ML.Data 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Label relevance gains", ShortName="gains")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Label relevance gains", ShortName="gains")>] - - System.String diff --git a/dotnet/xml/Microsoft.ML.Data/TextLoader+Column.xml b/dotnet/xml/Microsoft.ML.Data/TextLoader+Column.xml index 34784fc79..72585373e 100644 --- a/dotnet/xml/Microsoft.ML.Data/TextLoader+Column.xml +++ b/dotnet/xml/Microsoft.ML.Data/TextLoader+Column.xml @@ -155,16 +155,6 @@ Microsoft.ML.Data 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="For a key column, this defines the range of values", ShortName="key")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="For a key column, this defines the range of values", ShortName="key")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="For a key column, this defines the range of values", ShortName="key")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="For a key column, this defines the range of values", ShortName="key")>] - - Microsoft.ML.Data.KeyCount @@ -186,12 +176,6 @@ Microsoft.ML.Data 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Name of the column")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Name of the column")>] - - System.String @@ -213,16 +197,6 @@ Microsoft.ML.Data 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Source index range(s) of the column", ShortName="src")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Source index range(s) of the column", ShortName="src")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Source index range(s) of the column", ShortName="src")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Source index range(s) of the column", ShortName="src")>] - - Microsoft.ML.Data.TextLoader+Range[] diff --git a/dotnet/xml/Microsoft.ML.Data/TextLoader+Options.xml b/dotnet/xml/Microsoft.ML.Data/TextLoader+Options.xml index 2e2d84485..2aa960e9b 100644 --- a/dotnet/xml/Microsoft.ML.Data/TextLoader+Options.xml +++ b/dotnet/xml/Microsoft.ML.Data/TextLoader+Options.xml @@ -45,16 +45,6 @@ Microsoft.ML.Data 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Whether the input may include double-quoted values. This parameter is used to distinguish separator characters in an input value from actual separators. When true, separators within double quotes are treated as part of the input value. When false, all separators, even those within quotes, are treated as delimiting a new column.", ShortName="quote")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Whether the input may include double-quoted values. This parameter is used to distinguish separator characters in an input value from actual separators. When true, separators within double quotes are treated as part of the input value. When false, all separators, even those within quotes, are treated as delimiting a new column.", ShortName="quote")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Whether the input may include quoted values, which can contain separator characters, colons, and distinguish empty values from missing values. When true, consecutive separators denote a missing value and an empty value is denoted by "". When false, consecutive separators denote an empty value.", ShortName="quote")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Whether the input may include quoted values, which can contain separator characters, colons, and distinguish empty values from missing values. When true, consecutive separators denote a missing value and an empty value is denoted by "". When false, consecutive separators denote an empty value.", ShortName="quote")>] - - System.Boolean @@ -78,12 +68,6 @@ Microsoft.ML.Data 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Whether the input may include sparse representations", ShortName="sparse")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Whether the input may include sparse representations", ShortName="sparse")>] - - System.Boolean @@ -115,16 +99,6 @@ Microsoft.ML.Data 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Column groups. Each group is specified as name:type:numeric-ranges, eg, col=Features:R4:1-17,26,35-40", Name="Column", ShortName="col", SortOrder=1)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Column groups. Each group is specified as name:type:numeric-ranges, eg, col=Features:R4:1-17,26,35-40", Name="Column", ShortName="col", SortOrder=1)>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Column groups. Each group is specified as name:type:numeric-ranges, eg, col=Features:R4:1-17,26,35-40", Name="Column", ShortName="col", SortOrder=1)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Column groups. Each group is specified as name:type:numeric-ranges, eg, col=Features:R4:1-17,26,35-40", Name="Column", ShortName="col", SortOrder=1)>] - - Microsoft.ML.Data.TextLoader+Column[] @@ -146,12 +120,6 @@ Microsoft.ML.Data 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Character symbol used to separate the integer part from the fractional part of a number written in decimal form.", Name="Decimal Marker", ShortName="decimal")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Character symbol used to separate the integer part from the fractional part of a number written in decimal form.", Name="Decimal Marker", ShortName="decimal")>] - - System.Char @@ -173,12 +141,6 @@ Microsoft.ML.Data 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Character to use to escape quotes inside quoted fields. It can't be a character used as separator.", ShortName="escapechar")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Character to use to escape quotes inside quoted fields. It can't be a character used as separator.", ShortName="escapechar")>] - - System.Char @@ -200,12 +162,6 @@ Microsoft.ML.Data 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Data file has header with feature names. Header is read only if options 'hs' and 'hf' are not specified.", ShortName="header")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Data file has header with feature names. Header is read only if options 'hs' and 'hf' are not specified.", ShortName="header")>] - - System.Boolean @@ -228,12 +184,6 @@ Microsoft.ML.Data 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="File containing a header with feature names. If specified, header defined in the data file (header+) is ignored.", IsInputFileName=true, ShortName="hf")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="File containing a header with feature names. If specified, header defined in the data file (header+) is ignored.", IsInputFileName=true, ShortName="hf")>] - - System.String @@ -255,12 +205,6 @@ Microsoft.ML.Data 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Number of source columns in the text data. Default is that sparse rows contain their size information.", ShortName="size")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Number of source columns in the text data. Default is that sparse rows contain their size information.", ShortName="size")>] - - System.Nullable<System.Int32> @@ -282,12 +226,6 @@ Microsoft.ML.Data 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Maximum number of rows to produce", Hide=true, ShortName="rows")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Maximum number of rows to produce", Hide=true, ShortName="rows")>] - - System.Nullable<System.Int64> @@ -309,12 +247,6 @@ Microsoft.ML.Data 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="If true, empty float fields will be loaded as NaN. If false, they'll be loaded as 0. Default is false.", ShortName="missingrealnan")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="If true, empty float fields will be loaded as NaN. If false, they'll be loaded as 0. Default is false.", ShortName="missingrealnan")>] - - System.Boolean @@ -339,12 +271,6 @@ Microsoft.ML.Data 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Escape new line characters inside a quoted field? If AllowQuoting is false, this argument is ignored.", Hide=true, ShortName="multilines")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Escape new line characters inside a quoted field? If AllowQuoting is false, this argument is ignored.", Hide=true, ShortName="multilines")>] - - System.Boolean @@ -367,12 +293,6 @@ Microsoft.ML.Data 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Source column separator.", Name="Separator", ShortName="sep", Visibility=Microsoft.ML.CommandLine.ArgumentAttribute+VisibilityType.EntryPointsOnly)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Source column separator.", Name="Separator", ShortName="sep", Visibility=Microsoft.ML.CommandLine.ArgumentAttribute+VisibilityType.EntryPointsOnly)>] - - System.Char[] @@ -394,12 +314,6 @@ Microsoft.ML.Data 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Remove trailing whitespace from lines", ShortName="trim")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Remove trailing whitespace from lines", ShortName="trim")>] - - System.Boolean @@ -421,12 +335,6 @@ Microsoft.ML.Data 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Use separate parsing threads?", Hide=true, ShortName="threads")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Use separate parsing threads?", Hide=true, ShortName="threads")>] - - System.Boolean diff --git a/dotnet/xml/Microsoft.ML.Data/TextLoader+Range.xml b/dotnet/xml/Microsoft.ML.Data/TextLoader+Range.xml index 7f3f09909..ea31d7829 100644 --- a/dotnet/xml/Microsoft.ML.Data/TextLoader+Range.xml +++ b/dotnet/xml/Microsoft.ML.Data/TextLoader+Range.xml @@ -94,12 +94,6 @@ Microsoft.ML.Data 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="This range includes only other indices not specified", ShortName="other")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="This range includes only other indices not specified", ShortName="other")>] - - System.Boolean @@ -121,12 +115,6 @@ Microsoft.ML.Data 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="This range extends to the end of the line, but should be a fixed number of items", ShortName="auto")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="This range extends to the end of the line, but should be a fixed number of items", ShortName="auto")>] - - System.Boolean @@ -149,12 +137,6 @@ Microsoft.ML.Data 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Force scalar columns to be treated as vectors of length one", ShortName="vector")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Force scalar columns to be treated as vectors of length one", ShortName="vector")>] - - System.Boolean @@ -176,12 +158,6 @@ Microsoft.ML.Data 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Last index in the range")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Last index in the range")>] - - System.Nullable<System.Int32> @@ -206,12 +182,6 @@ Microsoft.ML.Data 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.Required, HelpText="First index in the range")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.Required, HelpText="First index in the range")>] - - System.Int32 @@ -233,12 +203,6 @@ Microsoft.ML.Data 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="This range extends to the end of the line, which can vary from line to line", ShortName="var")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="This range extends to the end of the line, which can vary from line to line", ShortName="var")>] - - System.Boolean diff --git a/dotnet/xml/Microsoft.ML.Data/TransformerChain`1.xml b/dotnet/xml/Microsoft.ML.Data/TransformerChain`1.xml index 4da6b915e..0a4bbf03e 100644 --- a/dotnet/xml/Microsoft.ML.Data/TransformerChain`1.xml +++ b/dotnet/xml/Microsoft.ML.Data/TransformerChain`1.xml @@ -1,9 +1,9 @@ - - + + - - + + @@ -36,7 +36,7 @@ System.Collections.IEnumerable - + System.IDisposable @@ -251,8 +251,8 @@ Microsoft.ML.DataViewSchema - - + + To be added. @@ -423,8 +423,8 @@ Microsoft.ML.IDataView - - + + To be added. diff --git a/dotnet/xml/Microsoft.ML.Data/VBufferEditor.xml b/dotnet/xml/Microsoft.ML.Data/VBufferEditor.xml index fa127596f..1546d0244 100644 --- a/dotnet/xml/Microsoft.ML.Data/VBufferEditor.xml +++ b/dotnet/xml/Microsoft.ML.Data/VBufferEditor.xml @@ -20,11 +20,12 @@ - + + Method Microsoft.ML.DataView @@ -78,11 +79,12 @@ - + + Method Microsoft.ML.DataView diff --git a/dotnet/xml/Microsoft.ML.Data/VBuffer`1.xml b/dotnet/xml/Microsoft.ML.Data/VBuffer`1.xml index d4a8b51a2..c14687d92 100644 --- a/dotnet/xml/Microsoft.ML.Data/VBuffer`1.xml +++ b/dotnet/xml/Microsoft.ML.Data/VBuffer`1.xml @@ -1,9 +1,13 @@ - - + + - - + + + + + + Microsoft.ML.DataView 1.0.0.0 @@ -14,7 +18,11 @@ System.ValueType - + + + System.Collections.IEnumerable + + The type of the vector. There are no compile-time restrictions on what this could be, but this code and practically all code that uses makes the assumption that an assignment of @@ -303,6 +311,32 @@ To be added. + + + + + + + Method + + M:System.Collections.IEnumerable.GetEnumerator + + + Microsoft.ML.DataView + 1.0.0.0 + + + System.Collections.IEnumerator + + + + + Returns an enumerator that iterates through the values in VBuffer. + + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.ML.Runtime/IChannel.xml b/dotnet/xml/Microsoft.ML.Runtime/IChannel.xml index f73729c35..03c8acd0c 100644 --- a/dotnet/xml/Microsoft.ML.Runtime/IChannel.xml +++ b/dotnet/xml/Microsoft.ML.Runtime/IChannel.xml @@ -1,9 +1,10 @@ - + + Microsoft.ML.Core 1.0.0.0 diff --git a/dotnet/xml/Microsoft.ML.Runtime/IChannelProvider.xml b/dotnet/xml/Microsoft.ML.Runtime/IChannelProvider.xml index 11ee507bc..9aabbbbdf 100644 --- a/dotnet/xml/Microsoft.ML.Runtime/IChannelProvider.xml +++ b/dotnet/xml/Microsoft.ML.Runtime/IChannelProvider.xml @@ -1,9 +1,10 @@ - + + Microsoft.ML.Core 1.0.0.0 diff --git a/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory.xml b/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory.xml index 5d312b8b3..7f89ec366 100644 --- a/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory.xml +++ b/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory.xml @@ -1,9 +1,10 @@ - + + Microsoft.ML.Core 1.0.0.0 diff --git a/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory`1.xml b/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory`1.xml index a5f8f46c5..f46875af5 100644 --- a/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory`1.xml +++ b/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory`1.xml @@ -1,9 +1,10 @@ - + + Microsoft.ML.Core 1.0.0.0 diff --git a/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory`2.xml b/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory`2.xml index e9b6f3102..9203902e6 100644 --- a/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory`2.xml +++ b/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory`2.xml @@ -1,9 +1,10 @@ - + + Microsoft.ML.Core 1.0.0.0 diff --git a/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory`3.xml b/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory`3.xml index 2149aed36..608c06cb2 100644 --- a/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory`3.xml +++ b/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory`3.xml @@ -1,9 +1,10 @@ - + + Microsoft.ML.Core 1.0.0.0 diff --git a/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory`4.xml b/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory`4.xml index bb7abd19b..cbc46666a 100644 --- a/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory`4.xml +++ b/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory`4.xml @@ -1,9 +1,10 @@ - + + Microsoft.ML.Core 1.0.0.0 diff --git a/dotnet/xml/Microsoft.ML.Runtime/IExceptionContext.xml b/dotnet/xml/Microsoft.ML.Runtime/IExceptionContext.xml index b4d9ebf9a..3d8b696bf 100644 --- a/dotnet/xml/Microsoft.ML.Runtime/IExceptionContext.xml +++ b/dotnet/xml/Microsoft.ML.Runtime/IExceptionContext.xml @@ -1,9 +1,10 @@ - + + Microsoft.ML.Core 1.0.0.0 diff --git a/dotnet/xml/Microsoft.ML.Runtime/IHost.xml b/dotnet/xml/Microsoft.ML.Runtime/IHost.xml index 2d0bd9727..e13894f7c 100644 --- a/dotnet/xml/Microsoft.ML.Runtime/IHost.xml +++ b/dotnet/xml/Microsoft.ML.Runtime/IHost.xml @@ -1,9 +1,10 @@ - + + Microsoft.ML.Core 1.0.0.0 diff --git a/dotnet/xml/Microsoft.ML.Runtime/IHostEnvironment.xml b/dotnet/xml/Microsoft.ML.Runtime/IHostEnvironment.xml index afe84015a..870f3127a 100644 --- a/dotnet/xml/Microsoft.ML.Runtime/IHostEnvironment.xml +++ b/dotnet/xml/Microsoft.ML.Runtime/IHostEnvironment.xml @@ -1,9 +1,10 @@ - + + Microsoft.ML.Core 1.0.0.0 diff --git a/dotnet/xml/Microsoft.ML.Runtime/IPipe`1.xml b/dotnet/xml/Microsoft.ML.Runtime/IPipe`1.xml index be840b081..38c2170b6 100644 --- a/dotnet/xml/Microsoft.ML.Runtime/IPipe`1.xml +++ b/dotnet/xml/Microsoft.ML.Runtime/IPipe`1.xml @@ -1,9 +1,10 @@ - + + Microsoft.ML.Core 1.0.0.0 diff --git a/dotnet/xml/Microsoft.ML.Runtime/IProgressChannel.xml b/dotnet/xml/Microsoft.ML.Runtime/IProgressChannel.xml index 42a3b8866..0eeea83ac 100644 --- a/dotnet/xml/Microsoft.ML.Runtime/IProgressChannel.xml +++ b/dotnet/xml/Microsoft.ML.Runtime/IProgressChannel.xml @@ -1,9 +1,10 @@ - + + Microsoft.ML.Core 1.0.0.0 diff --git a/dotnet/xml/Microsoft.ML.Runtime/IProgressChannelProvider.xml b/dotnet/xml/Microsoft.ML.Runtime/IProgressChannelProvider.xml index ba3d8b125..b1b179f67 100644 --- a/dotnet/xml/Microsoft.ML.Runtime/IProgressChannelProvider.xml +++ b/dotnet/xml/Microsoft.ML.Runtime/IProgressChannelProvider.xml @@ -1,9 +1,10 @@ - + + Microsoft.ML.Core 1.0.0.0 diff --git a/dotnet/xml/Microsoft.ML.Runtime/IProgressEntry.xml b/dotnet/xml/Microsoft.ML.Runtime/IProgressEntry.xml index c68c7e7b1..e36fd9aa6 100644 --- a/dotnet/xml/Microsoft.ML.Runtime/IProgressEntry.xml +++ b/dotnet/xml/Microsoft.ML.Runtime/IProgressEntry.xml @@ -1,9 +1,10 @@ - + + Microsoft.ML.Core 1.0.0.0 diff --git a/dotnet/xml/Microsoft.ML.SearchSpace.Option/ChoiceOption.xml b/dotnet/xml/Microsoft.ML.SearchSpace.Option/ChoiceOption.xml index f35161824..32f90ccbb 100644 --- a/dotnet/xml/Microsoft.ML.SearchSpace.Option/ChoiceOption.xml +++ b/dotnet/xml/Microsoft.ML.SearchSpace.Option/ChoiceOption.xml @@ -12,6 +12,12 @@ Microsoft.ML.SearchSpace.Option.OptionBase + + + [System.Text.Json.Serialization.JsonConverter(typeof(Microsoft.ML.SearchSpace.Converter.ChoiceOptionConverter))] + [<System.Text.Json.Serialization.JsonConverter(typeof(Microsoft.ML.SearchSpace.Converter.ChoiceOptionConverter))>] + + This class represent option for discrete value, such as string, enum, etc.. diff --git a/dotnet/xml/Microsoft.ML.SearchSpace.Option/OptionBase.xml b/dotnet/xml/Microsoft.ML.SearchSpace.Option/OptionBase.xml index dfb7eb8cf..5f9955681 100644 --- a/dotnet/xml/Microsoft.ML.SearchSpace.Option/OptionBase.xml +++ b/dotnet/xml/Microsoft.ML.SearchSpace.Option/OptionBase.xml @@ -12,6 +12,12 @@ System.Object + + + [System.Text.Json.Serialization.JsonConverter(typeof(Microsoft.ML.SearchSpace.Converter.OptionConverter))] + [<System.Text.Json.Serialization.JsonConverter(typeof(Microsoft.ML.SearchSpace.Converter.OptionConverter))>] + + abstrace class for Option. diff --git a/dotnet/xml/Microsoft.ML.SearchSpace.Option/NestOption.xml b/dotnet/xml/Microsoft.ML.SearchSpace.Option/SearchSpace.xml similarity index 84% rename from dotnet/xml/Microsoft.ML.SearchSpace.Option/NestOption.xml rename to dotnet/xml/Microsoft.ML.SearchSpace.Option/SearchSpace.xml index 85f1bdcba..83bb4ab94 100644 --- a/dotnet/xml/Microsoft.ML.SearchSpace.Option/NestOption.xml +++ b/dotnet/xml/Microsoft.ML.SearchSpace.Option/SearchSpace.xml @@ -1,9 +1,9 @@ - - - - - - + + + + + + Microsoft.ML.SearchSpace 1.0.0.0 @@ -35,16 +35,14 @@ - - This class represent nest option, which is an option that contains other options, like , or even itself. - + To be added. To be added. - + - + Constructor @@ -60,9 +58,9 @@ - + - + Method M:System.Collections.Generic.ICollection`1.Add(`0) @@ -81,15 +79,14 @@ To be added. To be added. To be added. - - + - + Method M:System.Collections.Generic.IDictionary`2.Add(`0,`1) @@ -110,15 +107,14 @@ To be added. To be added. To be added. - - + - + Method M:System.Collections.Generic.ICollection`1.Clear @@ -134,15 +130,14 @@ To be added. To be added. - - + - + Method M:System.Collections.Generic.ICollection`1.Contains(`0) @@ -162,15 +157,14 @@ To be added. To be added. To be added. - - + - + Method M:System.Collections.Generic.IDictionary`2.ContainsKey(`0) @@ -190,15 +184,14 @@ To be added. To be added. To be added. - - + - + Method M:System.Collections.Generic.ICollection`1.CopyTo(`0[],System.Int32) @@ -219,15 +212,14 @@ To be added. To be added. To be added. - - + - + Property P:System.Collections.Generic.ICollection`1.Count @@ -243,15 +235,14 @@ To be added. To be added. To be added. - - + - + Property Microsoft.ML.SearchSpace @@ -264,15 +255,14 @@ To be added. To be added. To be added. - - + - + Property Microsoft.ML.SearchSpace @@ -285,15 +275,14 @@ To be added. To be added. To be added. - - + - + Method M:System.Collections.Generic.IEnumerable`1.GetEnumerator @@ -310,15 +299,14 @@ To be added. To be added. To be added. - - + - + Property P:System.Collections.Generic.ICollection`1.IsReadOnly @@ -334,15 +322,14 @@ To be added. To be added. To be added. - - + - + Property P:System.Collections.Generic.IDictionary`2.Item(`0) @@ -362,15 +349,14 @@ To be added. To be added. To be added. - - + - + Property P:System.Collections.Generic.IDictionary`2.Keys @@ -386,15 +372,14 @@ To be added. To be added. To be added. - - + - + Method Microsoft.ML.SearchSpace @@ -411,15 +396,14 @@ To be added. To be added. To be added. - - + - + Method M:System.Collections.Generic.ICollection`1.Remove(`0) @@ -439,15 +423,14 @@ To be added. To be added. To be added. - - + - + Method M:System.Collections.Generic.IDictionary`2.Remove(`0) @@ -467,15 +450,14 @@ To be added. To be added. To be added. - - + - + Method Microsoft.ML.SearchSpace @@ -492,15 +474,14 @@ To be added. To be added. To be added. - - + - + Property Microsoft.ML.SearchSpace @@ -513,15 +494,14 @@ To be added. To be added. To be added. - - + - + Method M:System.Collections.IEnumerable.GetEnumerator @@ -538,15 +518,14 @@ To be added. To be added. To be added. - - + - + Method Microsoft.ML.SearchSpace @@ -565,15 +544,14 @@ To be added. To be added. To be added. - - + - + Property P:System.Collections.Generic.IDictionary`2.Values @@ -589,7 +567,6 @@ To be added. To be added. To be added. - diff --git a/dotnet/xml/Microsoft.ML.SearchSpace.Option/UniformNumericOption.xml b/dotnet/xml/Microsoft.ML.SearchSpace.Option/UniformNumericOption.xml index 6837d2606..46614c3ac 100644 --- a/dotnet/xml/Microsoft.ML.SearchSpace.Option/UniformNumericOption.xml +++ b/dotnet/xml/Microsoft.ML.SearchSpace.Option/UniformNumericOption.xml @@ -12,6 +12,12 @@ Microsoft.ML.SearchSpace.Option.OptionBase + + + [System.Text.Json.Serialization.JsonConverter(typeof(Microsoft.ML.SearchSpace.Converter.NumericOptionConverter))] + [<System.Text.Json.Serialization.JsonConverter(typeof(Microsoft.ML.SearchSpace.Converter.NumericOptionConverter))>] + + abstract class for numeric option. diff --git a/dotnet/xml/Microsoft.ML.SearchSpace/BooleanChoiceAttribute.xml b/dotnet/xml/Microsoft.ML.SearchSpace/BooleanChoiceAttribute.xml index e4b51bf38..8effe8eee 100644 --- a/dotnet/xml/Microsoft.ML.SearchSpace/BooleanChoiceAttribute.xml +++ b/dotnet/xml/Microsoft.ML.SearchSpace/BooleanChoiceAttribute.xml @@ -8,6 +8,13 @@ Microsoft.ML.SearchSpace 1.0.0.0 + + Microsoft.ML.Core + 1.0.0.0 + + + + System.Attribute @@ -35,6 +42,10 @@ Microsoft.ML.SearchSpace 1.0.0.0 + + Microsoft.ML.Core + 1.0.0.0 + @@ -54,6 +65,10 @@ Microsoft.ML.SearchSpace 1.0.0.0 + + Microsoft.ML.Core + 1.0.0.0 + @@ -65,5 +80,28 @@ To be added. + + + + + + + Property + + Microsoft.ML.Core + 1.0.0.0 + + + Microsoft.ML.SearchSpace + + + System.Boolean + + + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.ML.SearchSpace/ChoiceAttribute.xml b/dotnet/xml/Microsoft.ML.SearchSpace/ChoiceAttribute.xml index 22f03acb2..35caf8b2f 100644 --- a/dotnet/xml/Microsoft.ML.SearchSpace/ChoiceAttribute.xml +++ b/dotnet/xml/Microsoft.ML.SearchSpace/ChoiceAttribute.xml @@ -8,6 +8,13 @@ Microsoft.ML.SearchSpace 1.0.0.0 + + Microsoft.ML.Core + 1.0.0.0 + + + + System.Attribute @@ -20,8 +27,8 @@ - attribution class for . The property or field it applys to will be treated as in . - + Choice attribute + To be added. @@ -36,6 +43,10 @@ Microsoft.ML.SearchSpace 1.0.0.0 + + Microsoft.ML.Core + 1.0.0.0 + @@ -65,6 +76,10 @@ Microsoft.ML.SearchSpace 1.0.0.0 + + Microsoft.ML.Core + 1.0.0.0 + @@ -78,5 +93,55 @@ To be added. + + + + + + + Property + + Microsoft.ML.Core + 1.0.0.0 + + + Microsoft.ML.SearchSpace + + + System.Object[] + + + + Get the candidates of this option. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Core + 1.0.0.0 + + + Microsoft.ML.SearchSpace + + + System.Object + + + + Get the default value of this option. + + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.ML.SearchSpace/NestOptionAttribute.xml b/dotnet/xml/Microsoft.ML.SearchSpace/NestOptionAttribute.xml index bea97a15b..29e5a9808 100644 --- a/dotnet/xml/Microsoft.ML.SearchSpace/NestOptionAttribute.xml +++ b/dotnet/xml/Microsoft.ML.SearchSpace/NestOptionAttribute.xml @@ -8,6 +8,13 @@ Microsoft.ML.SearchSpace 1.0.0.0 + + Microsoft.ML.Core + 1.0.0.0 + + + + System.Attribute @@ -35,6 +42,10 @@ Microsoft.ML.SearchSpace 1.0.0.0 + + Microsoft.ML.Core + 1.0.0.0 + diff --git a/dotnet/xml/Microsoft.ML.SearchSpace/RangeAttribute.xml b/dotnet/xml/Microsoft.ML.SearchSpace/RangeAttribute.xml index 19ebb1bc6..7c9406cdb 100644 --- a/dotnet/xml/Microsoft.ML.SearchSpace/RangeAttribute.xml +++ b/dotnet/xml/Microsoft.ML.SearchSpace/RangeAttribute.xml @@ -8,6 +8,13 @@ Microsoft.ML.SearchSpace 1.0.0.0 + + Microsoft.ML.Core + 1.0.0.0 + + + + System.Attribute @@ -20,7 +27,7 @@ - attribution class for , and . + Range attribute To be added. @@ -36,6 +43,10 @@ Microsoft.ML.SearchSpace 1.0.0.0 + + Microsoft.ML.Core + 1.0.0.0 + @@ -46,8 +57,7 @@ To be added. To be added. - Create a for . - + Create a To be added. @@ -62,6 +72,10 @@ Microsoft.ML.SearchSpace 1.0.0.0 + + Microsoft.ML.Core + 1.0.0.0 + @@ -72,8 +86,7 @@ To be added. To be added. - Create a for . - + Create a To be added. @@ -88,6 +101,10 @@ Microsoft.ML.SearchSpace 1.0.0.0 + + Microsoft.ML.Core + 1.0.0.0 + @@ -98,8 +115,7 @@ To be added. To be added. - Create a for . - + Create a To be added. @@ -114,6 +130,10 @@ Microsoft.ML.SearchSpace 1.0.0.0 + + Microsoft.ML.Core + 1.0.0.0 + @@ -126,8 +146,7 @@ To be added. To be added. - Create a for . - + Create a To be added. @@ -142,6 +161,10 @@ Microsoft.ML.SearchSpace 1.0.0.0 + + Microsoft.ML.Core + 1.0.0.0 + @@ -154,8 +177,7 @@ To be added. To be added. - Create a for . - + Create a To be added. @@ -170,6 +192,10 @@ Microsoft.ML.SearchSpace 1.0.0.0 + + Microsoft.ML.Core + 1.0.0.0 + @@ -182,8 +208,99 @@ To be added. To be added. - Create a for . - + Create a + To be added. + + + + + + + + + Property + + Microsoft.ML.Core + 1.0.0.0 + + + Microsoft.ML.SearchSpace + + + System.Object + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Core + 1.0.0.0 + + + Microsoft.ML.SearchSpace + + + System.Boolean + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Core + 1.0.0.0 + + + Microsoft.ML.SearchSpace + + + System.Object + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Core + 1.0.0.0 + + + Microsoft.ML.SearchSpace + + + System.Object + + + To be added. + To be added. To be added. diff --git a/dotnet/xml/Microsoft.ML.SearchSpace/SearchSpace.xml b/dotnet/xml/Microsoft.ML.SearchSpace/SearchSpace.xml index dcda6bfdf..10b6ea801 100644 --- a/dotnet/xml/Microsoft.ML.SearchSpace/SearchSpace.xml +++ b/dotnet/xml/Microsoft.ML.SearchSpace/SearchSpace.xml @@ -34,6 +34,12 @@ System.Collections.IEnumerable + + + [System.Text.Json.Serialization.JsonConverter(typeof(Microsoft.ML.SearchSpace.Converter.SearchSpaceConverter))] + [<System.Text.Json.Serialization.JsonConverter(typeof(Microsoft.ML.SearchSpace.Converter.SearchSpaceConverter))>] + + This class is used to represent a set of , which can be either one of , or . diff --git a/dotnet/xml/Microsoft.ML.TimeSeries/SrCnnEntireAnomalyDetectorOptions.xml b/dotnet/xml/Microsoft.ML.TimeSeries/SrCnnEntireAnomalyDetectorOptions.xml index fbc7b290b..2914774ef 100644 --- a/dotnet/xml/Microsoft.ML.TimeSeries/SrCnnEntireAnomalyDetectorOptions.xml +++ b/dotnet/xml/Microsoft.ML.TimeSeries/SrCnnEntireAnomalyDetectorOptions.xml @@ -44,12 +44,6 @@ Microsoft.ML.TimeSeries 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="The number of data points to be detected in each batch. It should be at least 12. Set this parameter to -1 to detect anomaly on the entire series.", ShortName="bsz", SortOrder=4)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="The number of data points to be detected in each batch. It should be at least 12. Set this parameter to -1 to detect anomaly on the entire series.", ShortName="bsz", SortOrder=4)>] - - System.Int32 @@ -69,12 +63,6 @@ Microsoft.ML.TimeSeries 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Specify the deseasonality mode as one of stl, mean and median.", ShortName="dsmd", SortOrder=6)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Specify the deseasonality mode as one of stl, mean and median.", ShortName="dsmd", SortOrder=6)>] - - Microsoft.ML.TimeSeries.SrCnnDeseasonalityMode @@ -94,12 +82,6 @@ Microsoft.ML.TimeSeries 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Specify the detect mode as one of AnomalyOnly, AnomalyAndExpectedValue and AnomalyAndMargin.", ShortName="dtmd", SortOrder=5)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Specify the detect mode as one of AnomalyOnly, AnomalyAndExpectedValue and AnomalyAndMargin.", ShortName="dtmd", SortOrder=5)>] - - Microsoft.ML.TimeSeries.SrCnnDetectMode @@ -119,12 +101,6 @@ Microsoft.ML.TimeSeries 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="If there is circular pattern in the series, set this value to the number of points in one cycle.", ShortName="prd", SortOrder=5)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="If there is circular pattern in the series, set this value to the number of points in one cycle.", ShortName="prd", SortOrder=5)>] - - System.Int32 @@ -144,12 +120,6 @@ Microsoft.ML.TimeSeries 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="This parameter is used in AnomalyAndMargin mode the determine the range of the boundaries.", ShortName="sen", SortOrder=4)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="This parameter is used in AnomalyAndMargin mode the determine the range of the boundaries.", ShortName="sen", SortOrder=4)>] - - System.Double @@ -169,12 +139,6 @@ Microsoft.ML.TimeSeries 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="The threshold to determine anomaly, score larger than the threshold is considered as anomaly.", ShortName="thr", SortOrder=3)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="The threshold to determine anomaly, score larger than the threshold is considered as anomaly.", ShortName="thr", SortOrder=3)>] - - System.Double diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/Bpe.xml b/dotnet/xml/Microsoft.ML.Tokenizers/Bpe.xml index a0ae68bae..1da6eafae 100644 --- a/dotnet/xml/Microsoft.ML.Tokenizers/Bpe.xml +++ b/dotnet/xml/Microsoft.ML.Tokenizers/Bpe.xml @@ -224,6 +224,34 @@ To be added. + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + + + + The Id to map to the token. + Indicate if want to skip the special tokens during the decoding. + + Map the tokenized Id to the token. + + The mapped token of the Id. + To be added. + + @@ -252,6 +280,30 @@ To be added. + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Boolean + + + + + + To be added. + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/EnglishRoberta.xml b/dotnet/xml/Microsoft.ML.Tokenizers/EnglishRoberta.xml index 23e20cce2..0ea2f7fd2 100644 --- a/dotnet/xml/Microsoft.ML.Tokenizers/EnglishRoberta.xml +++ b/dotnet/xml/Microsoft.ML.Tokenizers/EnglishRoberta.xml @@ -220,6 +220,34 @@ To be added. + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + + + + The Id to map to the string. + Indicate if want to skip the special tokens during the decoding. + + Map the tokenized Id to the original string. + + The mapped token of the Id. + To be added. + + @@ -248,6 +276,30 @@ To be added. + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Boolean + + + + + + To be added. + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/Model.xml b/dotnet/xml/Microsoft.ML.Tokenizers/Model.xml index 032f7cdb7..86ad6afe4 100644 --- a/dotnet/xml/Microsoft.ML.Tokenizers/Model.xml +++ b/dotnet/xml/Microsoft.ML.Tokenizers/Model.xml @@ -104,6 +104,32 @@ To be added. + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + + @@ -132,6 +158,32 @@ To be added. + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Boolean + + + + + + + + Return true if the char is valid in the tokenizer; otherwise return false. + + + To be added. + + diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/Tokenizer.xml b/dotnet/xml/Microsoft.ML.Tokenizers/Tokenizer.xml index 0308c3d8c..8fa170da7 100644 --- a/dotnet/xml/Microsoft.ML.Tokenizers/Tokenizer.xml +++ b/dotnet/xml/Microsoft.ML.Tokenizers/Tokenizer.xml @@ -149,6 +149,30 @@ To be added. + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Boolean + + + + + + To be added. + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/Anchors.xml b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/Anchors.xml new file mode 100644 index 000000000..a0a95fd6e --- /dev/null +++ b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/Anchors.xml @@ -0,0 +1,83 @@ + + + + + + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + TorchSharp.torch+nn+Module<TorchSharp.torch+Tensor,TorchSharp.torch+Tensor> + + TorchSharp.torch+Tensor + TorchSharp.torch+Tensor + + + + + + Anchor boxes are a set of predefined bounding boxes of a certain height and width, whose location and size can be adjusted by the regression head of model. + + To be added. + + + + + + + + + Constructor + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + + + + + + + + Pyramid levels. + Strides between adjacent bboxes. + Different sizes for bboxes. + Different ratios for height/width. + Scale size of bboxes. + + Initializes a new instance of the class. + + To be added. + + + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + TorchSharp.torch+Tensor + + + + + + Image in Tensor format. + + Generate anchors for an image. + + All anchors. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/Attention.xml b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/Attention.xml new file mode 100644 index 000000000..7b050150d --- /dev/null +++ b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/Attention.xml @@ -0,0 +1,85 @@ + + + + + + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + TorchSharp.torch+nn+Module<TorchSharp.torch+Tensor,TorchSharp.torch+Tensor,TorchSharp.torch+Tensor> + + TorchSharp.torch+Tensor + TorchSharp.torch+Tensor + TorchSharp.torch+Tensor + + + + + + The Attention layer. + + To be added. + + + + + + + + + Constructor + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + + + + + + + + The input channels. + The key channels. + The number of blocks. + The ratio of attention. + The resolution of window. + + Initializes a new instance of the class. + + To be added. + + + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + TorchSharp.torch+Tensor + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + + + + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/AutoFormerV2.xml b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/AutoFormerV2.xml new file mode 100644 index 000000000..6a91075c1 --- /dev/null +++ b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/AutoFormerV2.xml @@ -0,0 +1,105 @@ + + + + + + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + TorchSharp.torch+nn+Module<TorchSharp.torch+Tensor,System.ValueTuple<TorchSharp.torch+Tensor,TorchSharp.torch+Tensor,TorchSharp.torch+Tensor>> + + TorchSharp.torch+Tensor + System.ValueTuple<TorchSharp.torch+Tensor,TorchSharp.torch+Tensor,TorchSharp.torch+Tensor> + + + + + + The object detection network based on AutoFormerV2 backbone which is pretrained only in MS COCO dataset. + The network contains 3 scales with different parameters: small for 11MB, medium for 21MB and large for 41MB. + + To be added. + + + + + + + + + Constructor + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + + + + + + + + The number of object categories. + The embedding channels, which control the scale of model. + The number of blocks, which control the scale of model. + The number of heads, which control the scale of model. + The device where the model inference. + + Initializes a new instance of the class. + + To be added. + + + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.ValueTuple<TorchSharp.torch+Tensor,TorchSharp.torch+Tensor,TorchSharp.torch+Tensor> + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Void + + + + + Freeze the weight of BatchNorm2d in network. + + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/AutoFormerV2Backbone.xml b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/AutoFormerV2Backbone.xml new file mode 100644 index 000000000..abc9e80a1 --- /dev/null +++ b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/AutoFormerV2Backbone.xml @@ -0,0 +1,96 @@ + + + + + + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + TorchSharp.torch+nn+Module<TorchSharp.torch+Tensor,System.Collections.Generic.List<TorchSharp.torch+Tensor>> + + TorchSharp.torch+Tensor + System.Collections.Generic.List<TorchSharp.torch+Tensor> + + + + + + The backbone of AutoFormerV2 object detection network. + + To be added. + + + + + + + + + Constructor + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + + + + + + + + + + + + + + + The input channels. + The embedding channels. + The number of blocks in each layer. + The number of heads in BasicLayer. + The sizes of window. + The ratio of MLP. + The ratio of drop. + The expand ratio of MBConv. + The indices of output. + Whether use shift window. + Whether use interpolation. + The channels of each outputs. + + Initializes a new instance of the class. + + To be added. + + + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Collections.Generic.List<TorchSharp.torch+Tensor> + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/AutoFormerV2Block.xml b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/AutoFormerV2Block.xml new file mode 100644 index 000000000..f7b1e9c06 --- /dev/null +++ b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/AutoFormerV2Block.xml @@ -0,0 +1,99 @@ + + + + + + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + TorchSharp.torch+nn+Module<TorchSharp.torch+Tensor,System.Int32,System.Int32,TorchSharp.torch+Tensor,TorchSharp.torch+Tensor> + + TorchSharp.torch+Tensor + System.Int32 + System.Int32 + TorchSharp.torch+Tensor + TorchSharp.torch+Tensor + + + + + + The block module of AutoFormer network. + + To be added. + + + + + + + + + Constructor + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + + + + + + + + + + + + The input channels. + The number of blocks. + The size of window. + The size of shift. + The ratio of MLP. + The ratio of drop. + The size of local convolution. + Whether use shift window. + Whether use interpolation. + + Initializes a new instance of the class. + + To be added. + + + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + TorchSharp.torch+Tensor + + + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + + + + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/BasicLayer.xml b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/BasicLayer.xml new file mode 100644 index 000000000..7b38b1e83 --- /dev/null +++ b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/BasicLayer.xml @@ -0,0 +1,98 @@ + + + + + + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + TorchSharp.torch+nn+Module<TorchSharp.torch+Tensor,System.Int32,System.Int32,System.ValueTuple<TorchSharp.torch+Tensor,System.Int32,System.Int32,TorchSharp.torch+Tensor,System.Int32,System.Int32>> + + TorchSharp.torch+Tensor + System.Int32 + System.Int32 + System.ValueTuple<TorchSharp.torch+Tensor,System.Int32,System.Int32,TorchSharp.torch+Tensor,System.Int32,System.Int32> + + + + + + The basic layer. + + To be added. + + + + + + + + + Constructor + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + + + + + + + + + + + + + The input channels. + The output channels. + The number of blocks. + The number of heads. + The size of window. + The ratio of MLP. + The ratio of drop. + The size of local convolution. + Whether use shift window. + Whether use interpolation. + + Initializes a new instance of the class. + + To be added. + + + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.ValueTuple<TorchSharp.torch+Tensor,System.Int32,System.Int32,TorchSharp.torch+Tensor,System.Int32,System.Int32> + + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + + + + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/Conv2dBN.xml b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/Conv2dBN.xml new file mode 100644 index 000000000..c99bde7f8 --- /dev/null +++ b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/Conv2dBN.xml @@ -0,0 +1,86 @@ + + + + + + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + TorchSharp.torch+nn+Module<TorchSharp.torch+Tensor,TorchSharp.torch+Tensor> + + TorchSharp.torch+Tensor + TorchSharp.torch+Tensor + + + + + + The Convolution and BN module. + + To be added. + + + + + + + + + Constructor + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + + + + + + + + + + The input channels. + The output channels. + The kernel size of convolution layer. + The stride of convolution layer. + The padding of convolution layer. + The dilation of convolution layer. + The groups of convolution layer. + + Initializes a new instance of the class. + + To be added. + + + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + TorchSharp.torch+Tensor + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/ConvLayer.xml b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/ConvLayer.xml new file mode 100644 index 000000000..590bcc607 --- /dev/null +++ b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/ConvLayer.xml @@ -0,0 +1,86 @@ + + + + + + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + TorchSharp.torch+nn+Module<TorchSharp.torch+Tensor,System.Int32,System.Int32,System.ValueTuple<TorchSharp.torch+Tensor,System.Int32,System.Int32,TorchSharp.torch+Tensor,System.Int32,System.Int32>> + + TorchSharp.torch+Tensor + System.Int32 + System.Int32 + System.ValueTuple<TorchSharp.torch+Tensor,System.Int32,System.Int32,TorchSharp.torch+Tensor,System.Int32,System.Int32> + + + + + + The layer of convolution blocks in AutoFormer network. + + To be added. + + + + + + + + + Constructor + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + + + + + + + The input channels. + The output channels. + The number of blocks. + The expand ratio of convolution layer. + + Initializes a new instance of the class. + + To be added. + + + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.ValueTuple<TorchSharp.torch+Tensor,System.Int32,System.Int32,TorchSharp.torch+Tensor,System.Int32,System.Int32> + + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + + + + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/ConvModule.xml b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/ConvModule.xml new file mode 100644 index 000000000..c465a9236 --- /dev/null +++ b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/ConvModule.xml @@ -0,0 +1,88 @@ + + + + + + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + TorchSharp.torch+nn+Module<TorchSharp.torch+Tensor,TorchSharp.torch+Tensor> + + TorchSharp.torch+Tensor + TorchSharp.torch+Tensor + + + + + + The convolution and activation module. + + To be added. + + + + + + + + + Constructor + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + + + + + + + + + + + The input channels of convolution layer. + The output channels of convolution layer. + The kernel size of convolution layer. + The stride of convolution layer. + The padding of convolution layer. + The dilation of convolution layer. + The bias of convolution layer. + Whether use Relu activation function. + + Initializes a new instance of the class. + + To be added. + + + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + TorchSharp.torch+Tensor + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/FPN.xml b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/FPN.xml new file mode 100644 index 000000000..4382b1d8d --- /dev/null +++ b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/FPN.xml @@ -0,0 +1,78 @@ + + + + + + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + TorchSharp.torch+nn+Module<System.Collections.Generic.List<TorchSharp.torch+Tensor>,System.Collections.Generic.List<TorchSharp.torch+Tensor>> + + System.Collections.Generic.List<TorchSharp.torch+Tensor> + System.Collections.Generic.List<TorchSharp.torch+Tensor> + + + + + + The FPN (Feature Pyramid Networks) layer. + + To be added. + + + + + + + + + Constructor + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + + + + + + The input channels. + The output channels. + The number of output tensors. + + Initializes a new instance of the class. + + To be added. + + + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Collections.Generic.List<TorchSharp.torch+Tensor> + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/MBConv.xml b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/MBConv.xml new file mode 100644 index 000000000..b684204bd --- /dev/null +++ b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/MBConv.xml @@ -0,0 +1,78 @@ + + + + + + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + TorchSharp.torch+nn+Module<TorchSharp.torch+Tensor,TorchSharp.torch+Tensor> + + TorchSharp.torch+Tensor + TorchSharp.torch+Tensor + + + + + + The MBConv layer. + + To be added. + + + + + + + + + Constructor + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + + + + + + The input channels. + The output channels. + The expand ratio. + + Initializes a new instance of the class. + + To be added. + + + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + TorchSharp.torch+Tensor + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/MLP.xml b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/MLP.xml new file mode 100644 index 000000000..fb7ffcbec --- /dev/null +++ b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/MLP.xml @@ -0,0 +1,80 @@ + + + + + + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + TorchSharp.torch+nn+Module<TorchSharp.torch+Tensor,TorchSharp.torch+Tensor> + + TorchSharp.torch+Tensor + TorchSharp.torch+Tensor + + + + + + The MLP (Multilayer Perceptron) layer. + + To be added. + + + + + + + + + Constructor + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + + + + + + + The input channels of features. + The hidden layer channels of features. + The output channels of features. + The drop ratio. + + Initializes a new instance of the class. + + To be added. + + + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + TorchSharp.torch+Tensor + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/ObjectDetectionMetrics.xml b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/ObjectDetectionMetrics.xml new file mode 100644 index 000000000..f142dcd80 --- /dev/null +++ b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/ObjectDetectionMetrics.xml @@ -0,0 +1,82 @@ + + + + + + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Object + + + + To be added. + To be added. + + + + + + + + Constructor + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Single + + + + Gets or sets mAP50 which means mean Average Precision(mAP) under IOU threshold 50%. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Single + + + + Gets or sets mAP , which is the average of mAP from IOU threshold 50% to 95% with step 5%, equaling to the + average of mAP50, mAP55, mAP60... and mAP95. + + To be added. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/ObjectDetectionTrainer+Options.xml b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/ObjectDetectionTrainer+Options.xml new file mode 100644 index 000000000..59fdbd4ff --- /dev/null +++ b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/ObjectDetectionTrainer+Options.xml @@ -0,0 +1,331 @@ + + + + + + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.Transforms.TransformInputBase + + + + To be added. + To be added. + + + + + + + + Constructor + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + + To be added. + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.String + + + + The Bounding Box column name. + + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.String + + + + The Image column name. + + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Double + + + + Gets or sets the initial learning rate in optimizer. + + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Double + + + + Gets or sets the IOU threshold for removing duplicate bounding boxes. + + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.String + + + + The label column name. + + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Int32 + + + + How often to log the loss. + + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Int32 + + + + Stop training when reaching this number of epochs. + + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.String + + + + The Predicted Bounding Box column name. + + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.String + + + + The label column name. + + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.String + + + + The Confidence column name. + + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Double + + + + Gets or sets the confidenct threshold for bounding box category. + + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Collections.Generic.List<System.Int32> + + + + Gets or sets the epoch steps in learning rate scheduler to reduce learning rate. + + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.IDataView + + + + The validation set used while training to improve model quality. + + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Double + + + + Gets or sets the weight decay in optimizer. + + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/ObjectDetectionTrainer.xml b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/ObjectDetectionTrainer.xml new file mode 100644 index 000000000..62da262e4 --- /dev/null +++ b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/ObjectDetectionTrainer.xml @@ -0,0 +1,79 @@ + + + + + + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Object + + + + Microsoft.ML.IEstimator<Microsoft.ML.TorchSharp.AutoFormerV2.ObjectDetectionTransformer> + + + + To be added. + To be added. + + + + + + + + + Method + + M:Microsoft.ML.IEstimator`1.Fit(Microsoft.ML.IDataView) + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.TorchSharp.AutoFormerV2.ObjectDetectionTransformer + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + M:Microsoft.ML.IEstimator`1.GetOutputSchema(Microsoft.ML.SchemaShape) + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.SchemaShape + + + + + + To be added. + To be added. + To be added. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/ObjectDetectionTransformer.xml b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/ObjectDetectionTransformer.xml new file mode 100644 index 000000000..92bcd88ec --- /dev/null +++ b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/ObjectDetectionTransformer.xml @@ -0,0 +1,191 @@ + + + + + + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.Data.RowToRowTransformerBase + + + + System.IDisposable + + + + To be added. + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.SchemaShape+Column + + + To be added. + To be added. + + + + + + + + + Method + + M:System.IDisposable.Dispose + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Void + + + + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Void + + + + + + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Void + + + + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.SchemaShape + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.DataViewSchema+DetachedColumn + + + To be added. + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.SchemaShape+Column + + + To be added. + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.SchemaShape+Column + + + To be added. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/PatchEmbed.xml b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/PatchEmbed.xml new file mode 100644 index 000000000..b1b55b92f --- /dev/null +++ b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/PatchEmbed.xml @@ -0,0 +1,76 @@ + + + + + + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + TorchSharp.torch+nn+Module<TorchSharp.torch+Tensor,TorchSharp.torch+Tensor> + + TorchSharp.torch+Tensor + TorchSharp.torch+Tensor + + + + + + The PatchEmbed layer. + + To be added. + + + + + + + + + Constructor + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + + + + + The input channels. + The output channels. + + Initializes a new instance of the class. + + To be added. + + + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + TorchSharp.torch+Tensor + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/PatchMerging.xml b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/PatchMerging.xml new file mode 100644 index 000000000..02f0bb890 --- /dev/null +++ b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/PatchMerging.xml @@ -0,0 +1,82 @@ + + + + + + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + TorchSharp.torch+nn+Module<TorchSharp.torch+Tensor,System.Int32,System.Int32,System.ValueTuple<TorchSharp.torch+Tensor,System.Int32,System.Int32>> + + TorchSharp.torch+Tensor + System.Int32 + System.Int32 + System.ValueTuple<TorchSharp.torch+Tensor,System.Int32,System.Int32> + + + + + + The PatchMerging layer. + + To be added. + + + + + + + + + Constructor + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + + + + + The input channels. + The output channels. + + Initializes a new instance of the class. + + To be added. + + + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.ValueTuple<TorchSharp.torch+Tensor,System.Int32,System.Int32> + + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + + + + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/RetinaHead.xml b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/RetinaHead.xml new file mode 100644 index 000000000..0b6b8b2a3 --- /dev/null +++ b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/RetinaHead.xml @@ -0,0 +1,82 @@ + + + + + + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + TorchSharp.torch+nn+Module<System.Collections.Generic.List<TorchSharp.torch+Tensor>,System.ValueTuple<System.Collections.Generic.List<TorchSharp.torch+Tensor>,System.Collections.Generic.List<TorchSharp.torch+Tensor>>> + + System.Collections.Generic.List<TorchSharp.torch+Tensor> + System.ValueTuple<System.Collections.Generic.List<TorchSharp.torch+Tensor>,System.Collections.Generic.List<TorchSharp.torch+Tensor>> + + + + + + The head of RetinaNet. + + To be added. + + + + + + + + + Constructor + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + + + + + + + + The number of classes. + The input channels. + The number of stacked convolution layers. + The feature channels. + The number of base priors. + + Initializes a new instance of the class. + + To be added. + + + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.ValueTuple<System.Collections.Generic.List<TorchSharp.torch+Tensor>,System.Collections.Generic.List<TorchSharp.torch+Tensor>> + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.Loss/FocalLoss.xml b/dotnet/xml/Microsoft.ML.TorchSharp.Loss/FocalLoss.xml new file mode 100644 index 000000000..dd49d8da1 --- /dev/null +++ b/dotnet/xml/Microsoft.ML.TorchSharp.Loss/FocalLoss.xml @@ -0,0 +1,85 @@ + + + + + + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + TorchSharp.torch+nn+Module<TorchSharp.torch+Tensor,TorchSharp.torch+Tensor,TorchSharp.torch+Tensor,TorchSharp.torch+Tensor,TorchSharp.torch+Tensor> + + TorchSharp.torch+Tensor + TorchSharp.torch+Tensor + TorchSharp.torch+Tensor + TorchSharp.torch+Tensor + TorchSharp.torch+Tensor + + + + + + A kind of loss function to balance easy and hard samples. + + To be added. + + + + + + + + + Constructor + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + + + + + The alpha. + The gamma. + + Initializes a new instance of the class. + + To be added. + + + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + TorchSharp.torch+Tensor + + + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + + + + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.NasBert.Models/NasBertEncoder.xml b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert.Models/NasBertEncoder.xml new file mode 100644 index 000000000..a073c1280 --- /dev/null +++ b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert.Models/NasBertEncoder.xml @@ -0,0 +1,162 @@ + + + + + + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.TorchSharp.NasBert.Models.TransformerEncoder + + + + TorchSharp.torch+nn+IModule<TorchSharp.torch+Tensor,TorchSharp.torch+Tensor,TorchSharp.torch+Tensor,TorchSharp.torch+Tensor> + + + + To be added. + To be added. + + + + + + + + + Constructor + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + + + + + + + + + + + + + + + + + + + + + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + M:TorchSharp.torch.nn.IModule`4.call(`0,`1,`2) + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + TorchSharp.torch+Tensor + + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Void + + + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + TorchSharp.Modules.Parameter + + + To be added. + To be added. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.NasBert.Models/TransformerEncoder.xml b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert.Models/TransformerEncoder.xml new file mode 100644 index 000000000..dff3c652f --- /dev/null +++ b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert.Models/TransformerEncoder.xml @@ -0,0 +1,41 @@ + + + + + + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + TorchSharp.torch+nn+Module + + + + To be added. + To be added. + + + + + + + + + Constructor + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + + + + To be added. + To be added. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.NasBert.Modules/IIncrementalState.xml b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert.Modules/IIncrementalState.xml index b6bb1d2f9..e46c8cc4c 100644 --- a/dotnet/xml/Microsoft.ML.TorchSharp.NasBert.Modules/IIncrementalState.xml +++ b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert.Modules/IIncrementalState.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/BertTaskType.xml b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/BertTaskType.xml index 2b3b75f82..31eba784a 100644 --- a/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/BertTaskType.xml +++ b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/BertTaskType.xml @@ -37,6 +37,54 @@ To be added. + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.TorchSharp.NasBert.BertTaskType + + 4 + + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + + [System.ComponentModel.EditorBrowsable(System.ComponentModel.EditorBrowsableState.Never)] + [<System.ComponentModel.EditorBrowsable(System.ComponentModel.EditorBrowsableState.Never)>] + + + [System.Obsolete("Please use NamedEntityRecognition instead", false)] + [<System.Obsolete("Please use NamedEntityRecognition instead", false)>] + + + + Microsoft.ML.TorchSharp.NasBert.BertTaskType + + 4 + + To be added. + + @@ -56,6 +104,25 @@ To be added. + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.TorchSharp.NasBert.BertTaskType + + 5 + + To be added. + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NasBertTrainer+NasBertOptions.xml b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NasBertTrainer+NasBertOptions.xml new file mode 100644 index 000000000..b7fb8d56f --- /dev/null +++ b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NasBertTrainer+NasBertOptions.xml @@ -0,0 +1,395 @@ + + + + + + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.TorchSharp.TorchSharpBaseTrainer+Options + + + + To be added. + To be added. + + + + + + + + Constructor + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + + To be added. + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Double + + + + Dropout rate after activation functions in FFN layers. Should be within [0, 1). + + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyList<System.Double> + + + + Betas for Adam optimizer. + + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Double + + + + Epsilon for Adam optimizer. + + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Double + + + + Dropout rate for attention weights. Should be within [0, 1). + + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Double + + + + The clipping threshold of gradients. Should be within [0, +Inf). 0 means not to clip norm. + + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Double + + + + Dropout rate for general situations. Should be within [0, 1). + + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Boolean + + + + Whether to use dynamic dropout. + + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Boolean + + + + Whether to apply layer normalization before each encoder block. + + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Boolean + + + + Whether to freeze encoder parameters. + + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Boolean + + + + Whether to freeze transfer module parameters. + + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Boolean + + + + Whether to train layer norm parameters. + + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Collections.Generic.List<System.Double> + + + + Learning rate for the first N epochs; all epochs >N using LR_N. + Note: this may be interpreted differently depending on the scheduler. + + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Double + + + + Dropout rate in the masked language model pooler layers. Should be within [0, 1). + + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.String + + + + The first sentence column. + + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.String + + + + The second sentence column. + + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.TorchSharp.NasBert.BertTaskType + + + + Task type, which is related to the model head. + + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Double + + + + Proportion of warmup steps for polynomial decay scheduler. + + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NasBertTrainer.xml b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NasBertTrainer.xml index 195b46a43..7aceb904e 100644 --- a/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NasBertTrainer.xml +++ b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NasBertTrainer.xml @@ -1,9 +1,9 @@ - - + + - - + + Microsoft.ML.TorchSharp 1.0.0.0 @@ -12,9 +12,6 @@ System.Object - - Microsoft.ML.IEstimator<Microsoft.ML.TorchSharp.NasBert.NasBertTransformer> - To be added. @@ -22,10 +19,10 @@ - - + + - + Constructor Microsoft.ML.TorchSharp @@ -37,59 +34,5 @@ To be added. - - - - - - - Method - - M:Microsoft.ML.IEstimator`1.Fit(Microsoft.ML.IDataView) - - - Microsoft.ML.TorchSharp - 1.0.0.0 - - - Microsoft.ML.TorchSharp.NasBert.NasBertTransformer - - - - - - To be added. - To be added. - To be added. - To be added. - - - - - - - - - Method - - M:Microsoft.ML.IEstimator`1.GetOutputSchema(Microsoft.ML.SchemaShape) - - - Microsoft.ML.TorchSharp - 1.0.0.0 - - - Microsoft.ML.SchemaShape - - - - - - To be added. - To be added. - To be added. - To be added. - - diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NasBertTrainer`2.xml b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NasBertTrainer`2.xml index fd25ef185..46c2ad6e8 100644 --- a/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NasBertTrainer`2.xml +++ b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NasBertTrainer`2.xml @@ -1,9 +1,9 @@ - - + + - - + + Microsoft.ML.TorchSharp 1.0.0.0 @@ -13,7 +13,11 @@ - Microsoft.ML.TorchSharp.NasBert.NasBertTrainer + Microsoft.ML.TorchSharp.TorchSharpBaseTrainer<TLabelCol,TTargetsCol> + + TLabelCol + TTargetsCol + @@ -23,30 +27,6 @@ To be added. - - - - - - - Method - - Microsoft.ML.TorchSharp - 1.0.0.0 - - - Microsoft.ML.TorchSharp.NasBert.NasBertTransformer - - - - - - To be added. - To be added. - To be added. - To be added. - - diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NasBertTransformer.xml b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NasBertTransformer.xml deleted file mode 100644 index 466649077..000000000 --- a/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NasBertTransformer.xml +++ /dev/null @@ -1,20 +0,0 @@ - - - - - - - - Microsoft.ML.TorchSharp - 1.0.0.0 - - - Microsoft.ML.Data.RowToRowTransformerBase - - - - To be added. - To be added. - - - diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NasBertTransformer`2.xml b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NasBertTransformer`2.xml index 42e90ca6a..91ce43aa9 100644 --- a/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NasBertTransformer`2.xml +++ b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NasBertTransformer`2.xml @@ -1,9 +1,9 @@ - - + + - - + + Microsoft.ML.TorchSharp 1.0.0.0 @@ -13,7 +13,11 @@ - Microsoft.ML.TorchSharp.NasBert.NasBertTransformer + Microsoft.ML.TorchSharp.TorchSharpBaseTransformer<TLabelCol,TTargetsCol> + + TLabelCol + TTargetsCol + @@ -23,49 +27,6 @@ To be added. - - - - - - - Method - - Microsoft.ML.TorchSharp - 1.0.0.0 - - - Microsoft.ML.SchemaShape - - - - - - To be added. - To be added. - To be added. - To be added. - - - - - - - - - Field - - Microsoft.ML.TorchSharp - 1.0.0.0 - - - Microsoft.ML.DataViewSchema+DetachedColumn - - - To be added. - To be added. - - diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NerTrainer+NerOptions.xml b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NerTrainer+NerOptions.xml new file mode 100644 index 000000000..0f3b8be6c --- /dev/null +++ b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NerTrainer+NerOptions.xml @@ -0,0 +1,37 @@ + + + + + + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.TorchSharp.NasBert.NasBertTrainer+NasBertOptions + + + + To be added. + To be added. + + + + + + + + Constructor + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + + To be added. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NerTrainer.xml b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NerTrainer.xml new file mode 100644 index 000000000..71926f7b1 --- /dev/null +++ b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NerTrainer.xml @@ -0,0 +1,49 @@ + + + + + + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.TorchSharp.NasBert.NasBertTrainer<Microsoft.ML.Data.VBuffer<System.UInt32>,Microsoft.ML.Data.VBuffer<System.Int64>> + + Microsoft.ML.Data.VBuffer<System.UInt32> + Microsoft.ML.Data.VBuffer<System.Int64> + + + + + + The for training a Deep Neural Network(DNN) to classify text. + + + . + + This trainer outputs the following columns: + + | Output Column Name | Column Type | Description| + | -- | -- | -- | + | `PredictedLabel` | Vector of [key](xref:Microsoft.ML.Data.KeyDataViewType) type | The predicted label's index. If its value is i, the actual label would be the i-th category in the key-valued input label type. | + | | | + | -- | -- | + | Machine learning task | Multiclass classification | + | Is normalization required? | No | + | Is caching required? | No | + | Required NuGet in addition to Microsoft.ML | Microsoft.ML.TorchSharp and libtorch-cpu or libtorch-cuda-11.3 or any of the OS specific variants. | + | Exportable to ONNX | No | + + ### Training Algorithm Details + Trains a Deep Neural Network(DNN) by leveraging an existing pre-trained NAS-BERT roBERTa model for the purpose of named entity recognition. + ]]> + + + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NerTransformer.xml b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NerTransformer.xml new file mode 100644 index 000000000..4673d8a1c --- /dev/null +++ b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NerTransformer.xml @@ -0,0 +1,24 @@ + + + + + + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.TorchSharp.NasBert.NasBertTransformer<Microsoft.ML.Data.VBuffer<System.UInt32>,Microsoft.ML.Data.VBuffer<System.Int64>> + + Microsoft.ML.Data.VBuffer<System.UInt32> + Microsoft.ML.Data.VBuffer<System.Int64> + + + + + To be added. + To be added. + + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/SentenceSimilarityTrainer+SentenceSimilarityOptions.xml b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/SentenceSimilarityTrainer+SentenceSimilarityOptions.xml new file mode 100644 index 000000000..933fd0242 --- /dev/null +++ b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/SentenceSimilarityTrainer+SentenceSimilarityOptions.xml @@ -0,0 +1,37 @@ + + + + + + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.TorchSharp.NasBert.NasBertTrainer+NasBertOptions + + + + To be added. + To be added. + + + + + + + + Constructor + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + + To be added. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/TextClassificationTrainer+TextClassificationOptions.xml b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/TextClassificationTrainer+TextClassificationOptions.xml new file mode 100644 index 000000000..4eb6cb356 --- /dev/null +++ b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/TextClassificationTrainer+TextClassificationOptions.xml @@ -0,0 +1,37 @@ + + + + + + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.TorchSharp.NasBert.NasBertTrainer+NasBertOptions + + + + To be added. + To be added. + + + + + + + + Constructor + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + + To be added. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.Roberta/QATrainer+Options.xml b/dotnet/xml/Microsoft.ML.TorchSharp.Roberta/QATrainer+Options.xml new file mode 100644 index 000000000..459d53d0a --- /dev/null +++ b/dotnet/xml/Microsoft.ML.TorchSharp.Roberta/QATrainer+Options.xml @@ -0,0 +1,184 @@ + + + + + + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.TorchSharp.NasBert.NasBertTrainer+NasBertOptions + + + + To be added. + To be added. + + + + + + + + Constructor + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + + To be added. + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.String + + + + Answer Index Start Column Name + + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.String + + + + Context Column Name + + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Int32 + + + + How often to log the loss. + + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.String + + + + Answer Column Name for the predicted answers + + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.String + + + + Question Column Name + + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Int32 + + + + Number of top predicted answers in question answering task. + + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.String + + + + Answer Column Name for the training data + + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.Roberta/QATrainer.xml b/dotnet/xml/Microsoft.ML.TorchSharp.Roberta/QATrainer.xml new file mode 100644 index 000000000..606c262c5 --- /dev/null +++ b/dotnet/xml/Microsoft.ML.TorchSharp.Roberta/QATrainer.xml @@ -0,0 +1,79 @@ + + + + + + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Object + + + + Microsoft.ML.IEstimator<Microsoft.ML.TorchSharp.Roberta.QATransformer> + + + + To be added. + To be added. + + + + + + + + + Method + + M:Microsoft.ML.IEstimator`1.Fit(Microsoft.ML.IDataView) + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.TorchSharp.Roberta.QATransformer + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + M:Microsoft.ML.IEstimator`1.GetOutputSchema(Microsoft.ML.SchemaShape) + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.SchemaShape + + + + + + To be added. + To be added. + To be added. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.Roberta/QATransformer.xml b/dotnet/xml/Microsoft.ML.TorchSharp.Roberta/QATransformer.xml new file mode 100644 index 000000000..e517ec0e9 --- /dev/null +++ b/dotnet/xml/Microsoft.ML.TorchSharp.Roberta/QATransformer.xml @@ -0,0 +1,134 @@ + + + + + + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.Data.RowToRowTransformerBase + + + + System.IDisposable + + + + To be added. + To be added. + + + + + + + + + Method + + M:System.IDisposable.Dispose + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Void + + + + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Void + + + + + + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Void + + + + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.SchemaShape + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.Tokenizers.Tokenizer + + + To be added. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp/TorchSharpBaseTrainer+Options.xml b/dotnet/xml/Microsoft.ML.TorchSharp/TorchSharpBaseTrainer+Options.xml new file mode 100644 index 000000000..d87ed2661 --- /dev/null +++ b/dotnet/xml/Microsoft.ML.TorchSharp/TorchSharpBaseTrainer+Options.xml @@ -0,0 +1,226 @@ + + + + + + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.Transforms.TransformInputBase + + + + To be added. + To be added. + + + + + + + + Constructor + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + + To be added. + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Int32 + + + + Number of samples to use for mini-batch training. + + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Double + + + + The final learning rate for polynomial decay scheduler. + + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.String + + + + The label column name. + + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Int32 + + + + Stop training when reaching this number of epochs. + + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.String + + + + The Prediction column name. + + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.String + + + + The Score column name. + + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Double + + + + The start learning rate for polynomial decay scheduler. + + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.IDataView + + + + The validation set used while training to improve model quality. + + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Double + + + + Coefficiency of weight decay. Should be within [0, +Inf). + + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp/TorchSharpBaseTrainer.xml b/dotnet/xml/Microsoft.ML.TorchSharp/TorchSharpBaseTrainer.xml new file mode 100644 index 000000000..17d7e39fa --- /dev/null +++ b/dotnet/xml/Microsoft.ML.TorchSharp/TorchSharpBaseTrainer.xml @@ -0,0 +1,95 @@ + + + + + + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Object + + + + Microsoft.ML.IEstimator<Microsoft.ML.TorchSharp.TorchSharpBaseTransformer> + + + + To be added. + To be added. + + + + + + + + Constructor + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + + To be added. + To be added. + + + + + + + + + Method + + M:Microsoft.ML.IEstimator`1.Fit(Microsoft.ML.IDataView) + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.TorchSharp.TorchSharpBaseTransformer + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + M:Microsoft.ML.IEstimator`1.GetOutputSchema(Microsoft.ML.SchemaShape) + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.SchemaShape + + + + + + To be added. + To be added. + To be added. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp/TorchSharpBaseTrainer`2.xml b/dotnet/xml/Microsoft.ML.TorchSharp/TorchSharpBaseTrainer`2.xml new file mode 100644 index 000000000..c977bbc42 --- /dev/null +++ b/dotnet/xml/Microsoft.ML.TorchSharp/TorchSharpBaseTrainer`2.xml @@ -0,0 +1,51 @@ + + + + + + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + + + + + Microsoft.ML.TorchSharp.TorchSharpBaseTrainer + + + + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.TorchSharp.TorchSharpBaseTransformer + + + + + + To be added. + To be added. + To be added. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp/TorchSharpBaseTransformer.xml b/dotnet/xml/Microsoft.ML.TorchSharp/TorchSharpBaseTransformer.xml new file mode 100644 index 000000000..f07627791 --- /dev/null +++ b/dotnet/xml/Microsoft.ML.TorchSharp/TorchSharpBaseTransformer.xml @@ -0,0 +1,48 @@ + + + + + + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.Data.RowToRowTransformerBase + + + + System.IDisposable + + + + To be added. + To be added. + + + + + + + + + Method + + M:System.IDisposable.Dispose + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Void + + + + To be added. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp/TorchSharpBaseTransformer`2.xml b/dotnet/xml/Microsoft.ML.TorchSharp/TorchSharpBaseTransformer`2.xml new file mode 100644 index 000000000..f5df7a974 --- /dev/null +++ b/dotnet/xml/Microsoft.ML.TorchSharp/TorchSharpBaseTransformer`2.xml @@ -0,0 +1,133 @@ + + + + + + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + + + + + Microsoft.ML.TorchSharp.TorchSharpBaseTransformer + + + + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Void + + + + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Void + + + + + + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Void + + + + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.SchemaShape + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.DataViewSchema+DetachedColumn + + + To be added. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp/TorchSharpCatalog.xml b/dotnet/xml/Microsoft.ML.TorchSharp/TorchSharpCatalog.xml index 40f72e7d8..e2fb13900 100644 --- a/dotnet/xml/Microsoft.ML.TorchSharp/TorchSharpCatalog.xml +++ b/dotnet/xml/Microsoft.ML.TorchSharp/TorchSharpCatalog.xml @@ -21,6 +21,380 @@ + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.TorchSharp.AutoFormerV2.ObjectDetectionMetrics + + + + + + + + + + + + The transform's catalog. + IDataView with the data + Column that has the actual labels. + Column that has the actual bounding boxes. + Column that has the predicted labels. + Column that has the predicted bounding boxes. + Column that has the predicted score (confidence level). + + Evaluates scored object detection data. + + + To be added. + + + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.TorchSharp.NasBert.NerTrainer + + + + + + + The transform's catalog. + The full set of advanced options. + + Fine tune a Named Entity Recognition model. + + + To be added. + + + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.TorchSharp.NasBert.NerTrainer + + + + + + + + + + + + + The transform's catalog. + Name of the label column. Column should be a key type. + Name of the output column. It will be a key type. It is the predicted label. + Name of the column for the first sentence. + Number of rows in the batch. + Maximum number of times to loop through your training set. + Architecture for the model. Defaults to Roberta. + The validation set used while training to improve model quality. + + Fine tune a NAS-BERT model for Named Entity Recognition. The limit for any sentence is 512 tokens. Each word typically + will map to a single token, and we automatically add 2 specical tokens (a start token and a separator token) + so in general this limit will be 510 words for all sentences. + + + To be added. + + + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + + [System.ComponentModel.EditorBrowsable(System.ComponentModel.EditorBrowsableState.Never)] + [<System.ComponentModel.EditorBrowsable(System.ComponentModel.EditorBrowsableState.Never)>] + + + [System.Obsolete("Please use NamedEntityRecognition method instead", false)] + [<System.Obsolete("Please use NamedEntityRecognition method instead", false)>] + + + + Microsoft.ML.TorchSharp.NasBert.NerTrainer + + + + + + + The transform's catalog. + The full set of advanced options. + + Obsolete: please use the method instead + + + To be added. + + + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + + [System.ComponentModel.EditorBrowsable(System.ComponentModel.EditorBrowsableState.Never)] + [<System.ComponentModel.EditorBrowsable(System.ComponentModel.EditorBrowsableState.Never)>] + + + [System.Obsolete("Please use NamedEntityRecognition method instead", false)] + [<System.Obsolete("Please use NamedEntityRecognition method instead", false)>] + + + + Microsoft.ML.TorchSharp.NasBert.NerTrainer + + + + + + + + + + + + + The transform's catalog. + Name of the label column. Column should be a key type. + Name of the output column. It will be a key type. It is the predicted label. + Name of the column for the first sentence. + Number of rows in the batch. + Maximum number of times to loop through your training set. + Architecture for the model. Defaults to Roberta. + The validation set used while training to improve model quality. + + Obsolete: please use the method instead + + + To be added. + + + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.TorchSharp.AutoFormerV2.ObjectDetectionTrainer + + + + + + + The transform's catalog. + The full set of advanced options. + + Fine tune an object detection model. + + + To be added. + + + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.TorchSharp.AutoFormerV2.ObjectDetectionTrainer + + + + + + + + + + + + + The transform's catalog. + The label column name. Should be a vector of keytype + The output predicted label column name. Is a vector of keytype + The output score column name. Is a vector of float. + The bounding box column name. Is a vector of float. Values should be in the order x0 y0 x1 y1. + The output bounding box column name. Is a vector of float. Values should be in the order x0 y0 x1 y1. + The column name holding the image Data. Is an MLImage + How many epochs to run. + + Fine tune an object detection model. + + + To be added. + + + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.TorchSharp.Roberta.QATrainer + + + + + + + The transform's catalog. + The options for QA. + + Fine tune a ROBERTA model for Question and Answer. The limit for any sentence is 512 tokens. Each word typically + will map to a single token, and we automatically add 2 specical tokens (a start token and a separator token) + so in general this limit will be 510 words for all sentences. + + + To be added. + + + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.TorchSharp.Roberta.QATrainer + + + + + + + + + + + + + + + + + The transform's catalog. + The context for the question. + The question being asked. + The answer used to train the model. + The starting character index of that answer in the context. + The answer predicted by the model during inferencing. + The score of the predicted answers. + How many top results you want back for a given question. + Number of rows in the batch. + Maximum number of times to loop through your training set. + Architecture for the model. Defaults to Roberta. + The validation set used while training to improve model quality. + + Fine tune a ROBERTA model for Question and Answer. The limit for any sentence is 512 tokens. Each word typically + will map to a single token, and we automatically add 2 specical tokens (a start token and a separator token) + so in general this limit will be 510 words for all sentences. + + + To be added. + + + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.TorchSharp.NasBert.SentenceSimilarityTrainer + + + + + + + The transform's catalog. + Advanced Options + + Fine tune a NAS-BERT model for NLP sentence Similarity. The limit for any sentence is 512 tokens. Each word typically + will map to a single token, and we automatically add 2 specical tokens (a start token and a separator token) + so in general this limit will be 510 words for all sentences. + + + To be added. + + @@ -65,6 +439,36 @@ To be added. + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.TorchSharp.NasBert.TextClassificationTrainer + + + + + + + The transform's catalog. + Advanced Options. + + Fine tune a NAS-BERT model for NLP classification. The limit for any sentence is 512 tokens. Each word typically + will map to a single token, and we automatically add 2 specical tokens (a start token and a separator token) + so in general this limit will be 510 words for all sentences. + + + To be added. + + diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/BoostedTreeOptions.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/BoostedTreeOptions.xml index d7f756954..af03e759f 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/BoostedTreeOptions.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/BoostedTreeOptions.xml @@ -46,16 +46,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Option for using best regression step trees", ShortName="bsr")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Option for using best regression step trees", ShortName="bsr")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Option for using best regression step trees", ShortName="bsr")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Option for using best regression step trees", ShortName="bsr")>] - - System.Boolean @@ -77,20 +67,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Dropout rate for tree regularization", ShortName="tdrop")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Dropout rate for tree regularization", ShortName="tdrop")>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("DropoutRate", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("DropoutRate", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="0,0.000000001,0.05,0.1,0.2")] - [<Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="0,0.000000001,0.05,0.1,0.2")>] - - System.Double @@ -135,12 +111,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Enable post-training pruning to avoid overfitting. (a validation set is required)", ShortName="pruning")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Enable post-training pruning to avoid overfitting. (a validation set is required)", ShortName="pruning")>] - - System.Boolean @@ -162,16 +132,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Filter zero lambdas during training", Hide=true, ShortName="fzl")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Filter zero lambdas during training", Hide=true, ShortName="fzl")>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(NotGui=true)] - [<Microsoft.ML.Internal.Internallearn.TGUI(NotGui=true)>] - - System.Boolean @@ -193,12 +153,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Sample each query 1 in k times in the GetDerivatives function", ShortName="sr")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Sample each query 1 in k times in the GetDerivatives function", ShortName="sr")>] - - System.Int32 @@ -220,24 +174,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="The learning rate", ShortName="lr", SortOrder=4)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="The learning rate", ShortName="lr", SortOrder=4)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableFloatParam("LearningRates", 0.025, 0.4, -1, -1, true)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableFloatParam("LearningRates", 0.025, 0.4, -1, -1, true)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="Learning Rate", SuggestedSweeps="0.025-0.4;log")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="Learning Rate", SuggestedSweeps="0.025-0.4;log")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="The learning rate", ShortName="lr", SortOrder=4)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="The learning rate", ShortName="lr", SortOrder=4)>] - - System.Double @@ -259,16 +195,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Number of post-bracket line search steps", ShortName="lssteps")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Number of post-bracket line search steps", ShortName="lssteps")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Number of post-bracket line search steps", ShortName="lssteps")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Number of post-bracket line search steps", ShortName="lssteps")>] - - System.Int32 @@ -290,12 +216,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Upper bound on absolute value of single tree output", ShortName="mo")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Upper bound on absolute value of single tree output", ShortName="mo")>] - - System.Double @@ -317,16 +237,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Minimum line search step size", ShortName="minstep")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Minimum line search step size", ShortName="minstep")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Minimum line search step size", ShortName="minstep")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Minimum line search step size", ShortName="minstep")>] - - System.Double @@ -348,16 +258,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Optimization algorithm to be used (GradientDescent, AcceleratedGradientDescent)", ShortName="oa")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Optimization algorithm to be used (GradientDescent, AcceleratedGradientDescent)", ShortName="oa")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Optimization algorithm to be used (GradientDescent, AcceleratedGradientDescent)", ShortName="oa")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Optimization algorithm to be used (GradientDescent, AcceleratedGradientDescent)", ShortName="oa")>] - - Microsoft.ML.Trainers.FastTree.BoostedTreeOptions+OptimizationAlgorithmType @@ -382,16 +282,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="The tolerance threshold for pruning", ShortName="prth")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="The tolerance threshold for pruning", ShortName="prth")>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(Description="Pruning threshold")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Description="Pruning threshold")>] - - System.Double @@ -413,16 +303,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="The moving window size for pruning", ShortName="prws")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="The moving window size for pruning", ShortName="prws")>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(Description="Pruning window size")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Description="Pruning window size")>] - - System.Int32 @@ -444,20 +324,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Training starts from random ordering (determined by /r1)", Hide=true, ShortName="rs")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Training starts from random ordering (determined by /r1)", Hide=true, ShortName="rs")>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(NotGui=true)] - [<Microsoft.ML.Internal.Internallearn.TGUI(NotGui=true)>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Training starts from random ordering (determined by /r1)", Hide=true, ShortName="rs")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Training starts from random ordering (determined by /r1)", Hide=true, ShortName="rs")>] - - System.Boolean @@ -479,20 +345,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Shrinkage", ShortName="shrk")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Shrinkage", ShortName="shrk")>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableFloatParam("Shrinkage", 0.025, 4, -1, -1, true)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableFloatParam("Shrinkage", 0.025, 4, -1, -1, true)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="Shrinkage", SuggestedSweeps="0.25-4;log")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="Shrinkage", SuggestedSweeps="0.25-4;log")>] - - System.Double @@ -514,16 +366,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Should we use line search for a step size", ShortName="ls")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Should we use line search for a step size", ShortName="ls")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Should we use line search for a step size", ShortName="ls")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Should we use line search for a step size", ShortName="ls")>] - - System.Boolean @@ -545,16 +387,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Use window and tolerance for pruning", ShortName="prtol")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Use window and tolerance for pruning", ShortName="prtol")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Use window and tolerance for pruning", ShortName="prtol")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Use window and tolerance for pruning", ShortName="prtol")>] - - System.Boolean @@ -576,12 +408,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Write the last ensemble instead of the one determined by early stopping", ShortName="hl")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Write the last ensemble instead of the one determined by early stopping", ShortName="hl")>] - - System.Boolean diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestBinaryTrainer+Options.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestBinaryTrainer+Options.xml index c11c651ab..5eff2fae7 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestBinaryTrainer+Options.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestBinaryTrainer+Options.xml @@ -47,12 +47,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Upper bound on absolute value of single tree output", ShortName="mo")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Upper bound on absolute value of single tree output", ShortName="mo")>] - - System.Double diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestBinaryTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestBinaryTrainer.xml index a985a615c..f8323eb1b 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestBinaryTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestBinaryTrainer.xml @@ -40,9 +40,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-fastforest.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestOptionsBase.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestOptionsBase.xml index 9d97d0058..191d3f376 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestOptionsBase.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestOptionsBase.xml @@ -30,12 +30,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Number of labels to be sampled from each leaf to make the distribution", ShortName="qsc")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Number of labels to be sampled from each leaf to make the distribution", ShortName="qsc")>] - - System.Int32 diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestRegressionTrainer+Options.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestRegressionTrainer+Options.xml index f43e69061..ee07a91e6 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestRegressionTrainer+Options.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestRegressionTrainer+Options.xml @@ -47,16 +47,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Shuffle the labels on every iteration. Useful probably only if using this tree as a tree leaf featurizer for multiclass.")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Shuffle the labels on every iteration. Useful probably only if using this tree as a tree leaf featurizer for multiclass.")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Shuffle the labels on every iteration. Useful probably only if using this tree as a tree leaf featurizer for multiclass.")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Shuffle the labels on every iteration. Useful probably only if using this tree as a tree leaf featurizer for multiclass.")>] - - System.Boolean diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestRegressionTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestRegressionTrainer.xml index 4452bafaf..dd66a1e90 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestRegressionTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestRegressionTrainer.xml @@ -40,9 +40,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-fastforest.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeBinaryTrainer+Options.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeBinaryTrainer+Options.xml index e4a34cb98..6e9fc1a8a 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeBinaryTrainer+Options.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeBinaryTrainer+Options.xml @@ -19,12 +19,6 @@ Microsoft.ML.Runtime.IComponentFactory<Microsoft.ML.ITrainer> - - - [Microsoft.ML.EntryPoints.TlcModule/Component(Desc="Uses a logit-boost boosted tree learner to perform binary classification.", FriendlyName="FastTree (Boosted Trees) Classification", Name="FastTreeBinaryClassification")] - [<Microsoft.ML.EntryPoints.TlcModule/Component(Desc="Uses a logit-boost boosted tree learner to perform binary classification.", FriendlyName="FastTree (Boosted Trees) Classification", Name="FastTreeBinaryClassification")>] - - Options for the as used in @@ -111,20 +105,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Option for using derivatives optimized for unbalanced sets", ShortName="us")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Option for using derivatives optimized for unbalanced sets", ShortName="us")>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="Optimize for unbalanced")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="Optimize for unbalanced")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Option for using derivatives optimized for unbalanced sets", ShortName="us")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Option for using derivatives optimized for unbalanced sets", ShortName="us")>] - - System.Boolean diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeBinaryTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeBinaryTrainer.xml index dc480f636..252d7f279 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeBinaryTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeBinaryTrainer.xml @@ -40,9 +40,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-fasttree.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRankingTrainer+Options.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRankingTrainer+Options.xml index dbcb59198..c9b6f831f 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRankingTrainer+Options.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRankingTrainer+Options.xml @@ -19,12 +19,6 @@ Microsoft.ML.Runtime.IComponentFactory<Microsoft.ML.ITrainer> - - - [Microsoft.ML.EntryPoints.TlcModule/Component(Desc="Trains gradient boosted decision trees to the LambdaRank quasi-gradient.", FriendlyName="FastTree (Boosted Trees) Ranking", Name="FastTreeRanking")] - [<Microsoft.ML.EntryPoints.TlcModule/Component(Desc="Trains gradient boosted decision trees to the LambdaRank quasi-gradient.", FriendlyName="FastTree (Boosted Trees) Ranking", Name="FastTreeRanking")>] - - Options for the as used in @@ -62,20 +56,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Comma-separated list of gains associated to each relevance label.", ShortName="gains")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Comma-separated list of gains associated to each relevance label.", ShortName="gains")>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(NoSweep=true)] - [<Microsoft.ML.Internal.Internallearn.TGUI(NoSweep=true)>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Comma-separated list of gains associated to each relevance label.", ShortName="gains")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Comma-separated list of gains associated to each relevance label.", ShortName="gains")>] - - System.Double[] @@ -146,16 +126,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="max-NDCG truncation to use in the LambdaMART algorithm", Hide=true, ShortName="n")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="max-NDCG truncation to use in the LambdaMART algorithm", Hide=true, ShortName="n")>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(NotGui=true)] - [<Microsoft.ML.Internal.Internallearn.TGUI(NotGui=true)>] - - System.Int32 @@ -178,16 +148,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Train DCG instead of NDCG", ShortName="dcg")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Train DCG instead of NDCG", ShortName="dcg")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Train DCG instead of NDCG", ShortName="dcg")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Train DCG instead of NDCG", ShortName="dcg")>] - - System.Boolean diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRankingTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRankingTrainer.xml index 1ecf69043..d523f045f 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRankingTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRankingTrainer.xml @@ -40,9 +40,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-fasttree.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRegressionTrainer+Options.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRegressionTrainer+Options.xml index a9316dd31..5dcc2a18b 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRegressionTrainer+Options.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRegressionTrainer+Options.xml @@ -19,12 +19,6 @@ Microsoft.ML.Runtime.IComponentFactory<Microsoft.ML.ITrainer> - - - [Microsoft.ML.EntryPoints.TlcModule/Component(Desc="Trains gradient boosted decision trees to fit target values using least-squares.", FriendlyName="FastTree (Boosted Trees) Regression", Name="FastTreeRegression")] - [<Microsoft.ML.EntryPoints.TlcModule/Component(Desc="Trains gradient boosted decision trees to fit target values using least-squares.", FriendlyName="FastTree (Boosted Trees) Regression", Name="FastTreeRegression")>] - - Options for the as used in diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRegressionTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRegressionTrainer.xml index ba97f27cb..827209a76 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRegressionTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRegressionTrainer.xml @@ -40,9 +40,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-fasttree.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeTweedieTrainer+Options.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeTweedieTrainer+Options.xml index 885e48262..7693c622e 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeTweedieTrainer+Options.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeTweedieTrainer+Options.xml @@ -19,12 +19,6 @@ Microsoft.ML.Runtime.IComponentFactory<Microsoft.ML.ITrainer> - - - [Microsoft.ML.EntryPoints.TlcModule/Component(Desc="Trains gradient boosted decision trees to fit target values using a Tweedie loss function. This learner is a generalization of Poisson, compound Poisson, and gamma regression.", FriendlyName="FastTree (Boosted Trees) Tweedie Regression", Name="FastTreeTweedieRegression")] - [<Microsoft.ML.EntryPoints.TlcModule/Component(Desc="Trains gradient boosted decision trees to fit target values using a Tweedie loss function. This learner is a generalization of Poisson, compound Poisson, and gamma regression.", FriendlyName="FastTree (Boosted Trees) Tweedie Regression", Name="FastTreeTweedieRegression")>] - - Options for the as used in @@ -84,16 +78,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Index parameter for the Tweedie distribution, in the range [1, 2]. 1 is Poisson loss, 2 is gamma loss, and intermediate values are compound Poisson loss.")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Index parameter for the Tweedie distribution, in the range [1, 2]. 1 is Poisson loss, 2 is gamma loss, and intermediate values are compound Poisson loss.")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Index parameter for the Tweedie distribution, in the range [1, 2]. 1 is Poisson loss, 2 is gamma loss, and intermediate values are compound Poisson loss.")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Index parameter for the Tweedie distribution, in the range [1, 2]. 1 is Poisson loss, 2 is gamma loss, and intermediate values are compound Poisson loss.")>] - - System.Double diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeTweedieTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeTweedieTrainer.xml index e9b6de079..222a118ee 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeTweedieTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeTweedieTrainer.xml @@ -48,9 +48,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamBinaryTrainer+Options.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamBinaryTrainer+Options.xml index 8fc9ce326..0a85a8595 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamBinaryTrainer+Options.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamBinaryTrainer+Options.xml @@ -52,20 +52,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Should we use derivatives optimized for unbalanced sets", ShortName="us")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Should we use derivatives optimized for unbalanced sets", ShortName="us")>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="Optimize for unbalanced")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="Optimize for unbalanced")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Should we use derivatives optimized for unbalanced sets", ShortName="us")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Should we use derivatives optimized for unbalanced sets", ShortName="us")>] - - System.Boolean diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamBinaryTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamBinaryTrainer.xml index ac6820f17..80e087835 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamBinaryTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamBinaryTrainer.xml @@ -40,9 +40,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-gam.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamRegressionTrainer+Options.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamRegressionTrainer+Options.xml index 6716fb856..513b4dd56 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamRegressionTrainer+Options.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamRegressionTrainer+Options.xml @@ -52,16 +52,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Metric for pruning. (For regression, 1: L1, 2:L2; default L2)", ShortName="pmetric")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Metric for pruning. (For regression, 1: L1, 2:L2; default L2)", ShortName="pmetric")>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(Description="Metric for pruning. (For regression, 1: L1, 2:L2; default L2")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Description="Metric for pruning. (For regression, 1: L1, 2:L2; default L2")>] - - System.Int32 diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamRegressionTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamRegressionTrainer.xml index 94b23fe95..b2ec64183 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamRegressionTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamRegressionTrainer.xml @@ -40,9 +40,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-gam.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamTrainerBase`3+OptionsBase.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamTrainerBase`3+OptionsBase.xml index 6361ef4e3..e71436387 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamTrainerBase`3+OptionsBase.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamTrainerBase`3+OptionsBase.xml @@ -64,16 +64,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Whether to utilize the disk or the data's native transposition facilities (where applicable) when performing the transpose", ShortName="dt")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Whether to utilize the disk or the data's native transposition facilities (where applicable) when performing the transpose", ShortName="dt")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Whether to utilize the disk or the data's native transposition facilities (where applicable) when performing the transpose", ShortName="dt")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Whether to utilize the disk or the data's native transposition facilities (where applicable) when performing the transpose", ShortName="dt")>] - - System.Nullable<System.Boolean> @@ -95,12 +85,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Enable post-training pruning to avoid overfitting. (a validation set is required)", ShortName="pruning")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Enable post-training pruning to avoid overfitting. (a validation set is required)", ShortName="pruning")>] - - System.Boolean @@ -122,16 +106,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="The entropy (regularization) coefficient between 0 and 1", ShortName="e")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="The entropy (regularization) coefficient between 0 and 1", ShortName="e")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="The entropy (regularization) coefficient between 0 and 1", ShortName="e")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="The entropy (regularization) coefficient between 0 and 1", ShortName="e")>] - - System.Double @@ -153,16 +127,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Whether to collectivize features during dataset preparation to speed up training", Hide=true, ShortName="flocks")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Whether to collectivize features during dataset preparation to speed up training", Hide=true, ShortName="flocks")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Whether to collectivize features during dataset preparation to speed up training", Hide=true, ShortName="flocks")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Whether to collectivize features during dataset preparation to speed up training", Hide=true, ShortName="flocks")>] - - System.Boolean @@ -184,16 +148,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Tree fitting gain confidence requirement (should be in the range [0,1) ).", ShortName="gainconf")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Tree fitting gain confidence requirement (should be in the range [0,1) ).", ShortName="gainconf")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Tree fitting gain confidence requirement (should be in the range [0,1) ).", ShortName="gainconf")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Tree fitting gain confidence requirement (should be in the range [0,1) ).", ShortName="gainconf")>] - - System.Int32 @@ -219,12 +173,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Sample each query 1 in k times in the GetDerivatives function", ShortName="sr")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Sample each query 1 in k times in the GetDerivatives function", ShortName="sr")>] - - System.Int32 @@ -246,24 +194,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="The learning rate", ShortName="lr", SortOrder=4)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="The learning rate", ShortName="lr", SortOrder=4)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableFloatParam("LearningRates", 0.001, 0.1, -1, -1, true)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableFloatParam("LearningRates", 0.001, 0.1, -1, -1, true)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="0.001,0.1;log")] - [<Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="0.001,0.1;log")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="The learning rate", ShortName="lr", SortOrder=4)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="The learning rate", ShortName="lr", SortOrder=4)>] - - System.Double @@ -285,16 +215,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Maximum number of distinct values (bins) per feature", ShortName="mb")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Maximum number of distinct values (bins) per feature", ShortName="mb")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Maximum number of distinct values (bins) per feature", ShortName="mb")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Maximum number of distinct values (bins) per feature", ShortName="mb")>] - - System.Int32 @@ -316,12 +236,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Upper bound on absolute value of single output", ShortName="mo")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Upper bound on absolute value of single output", ShortName="mo")>] - - System.Double @@ -343,24 +257,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Minimum number of training instances required to form a partition", ShortName="mi", SortOrder=3)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Minimum number of training instances required to form a partition", ShortName="mi", SortOrder=3)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("MinDocuments", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("MinDocuments", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="1,10,50")] - [<Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="1,10,50")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Minimum number of training instances required to form a partition", ShortName="mi", SortOrder=3)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Minimum number of training instances required to form a partition", ShortName="mi", SortOrder=3)>] - - System.Int32 @@ -382,24 +278,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Total number of iterations over all features", ShortName="iter", SortOrder=1)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Total number of iterations over all features", ShortName="iter", SortOrder=1)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("NumIterations", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("NumIterations", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="200,1500,9500")] - [<Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="200,1500,9500")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Total number of iterations over all features", ShortName="iter", SortOrder=1)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Total number of iterations over all features", ShortName="iter", SortOrder=1)>] - - System.Int32 @@ -421,16 +299,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="The number of threads to use", NullName="<Auto>", ShortName="t")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="The number of threads to use", NullName="<Auto>", ShortName="t")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="The number of threads to use", NullName="<Auto>", ShortName="t")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="The number of threads to use", NullName="<Auto>", ShortName="t")>] - - System.Nullable<System.Int32> @@ -452,16 +320,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="The seed of the random number generator", ShortName="r1")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="The seed of the random number generator", ShortName="r1")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="The seed of the random number generator", ShortName="r1")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="The seed of the random number generator", ShortName="r1")>] - - System.Int32 diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/TreeOptions.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/TreeOptions.xml index 3557b3981..b118ee5fb 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/TreeOptions.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/TreeOptions.xml @@ -46,16 +46,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="When a root split is impossible, allow training to proceed", Hide=true, ShortName="allowempty,dummies")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="When a root split is impossible, allow training to proceed", Hide=true, ShortName="allowempty,dummies")>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(NotGui=true)] - [<Microsoft.ML.Internal.Internallearn.TGUI(NotGui=true)>] - - System.Boolean @@ -77,12 +67,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Percentage of training examples used in each bag", ShortName="bagfrac")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Percentage of training examples used in each bag", ShortName="bagfrac")>] - - System.Double @@ -104,12 +88,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Number of trees in each bag (0 for disabling bagging)", ShortName="bag")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Number of trees in each bag (0 for disabling bagging)", ShortName="bag")>] - - System.Int32 @@ -131,16 +109,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Bias for calculating gradient for each feature bin for a categorical feature.", ShortName="bias")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Bias for calculating gradient for each feature bin for a categorical feature.", ShortName="bias")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Bias for calculating gradient for each feature bin for a categorical feature.", ShortName="bias")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Bias for calculating gradient for each feature bin for a categorical feature.", ShortName="bias")>] - - System.Double @@ -162,16 +130,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Bundle low population bins. Bundle.None(0): no bundling, Bundle.AggregateLowPopulation(1): Bundle low population, Bundle.Adjacent(2): Neighbor low population bundle.", ShortName="bundle")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Bundle low population bins. Bundle.None(0): no bundling, Bundle.AggregateLowPopulation(1): Bundle low population, Bundle.Adjacent(2): Neighbor low population bundle.", ShortName="bundle")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Bundle low population bins. Bundle.None(0): no bundling, Bundle.AggregateLowPopulation(1): Bundle low population, Bundle.Adjacent(2): Neighbor low population bundle.", ShortName="bundle")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Bundle low population bins. Bundle.None(0): no bundling, Bundle.AggregateLowPopulation(1): Bundle low population, Bundle.Adjacent(2): Neighbor low population bundle.", ShortName="bundle")>] - - Microsoft.ML.Trainers.FastTree.Bundle @@ -193,16 +151,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Whether to do split based on multiple categorical feature values.", ShortName="cat")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Whether to do split based on multiple categorical feature values.", ShortName="cat")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Whether to do split based on multiple categorical feature values.", ShortName="cat")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Whether to do split based on multiple categorical feature values.", ShortName="cat")>] - - System.Boolean @@ -224,20 +172,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Compress the tree Ensemble", Hide=true, ShortName="cmp")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Compress the tree Ensemble", Hide=true, ShortName="cmp")>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(NotGui=true)] - [<Microsoft.ML.Internal.Internallearn.TGUI(NotGui=true)>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Compress the tree Ensemble", Hide=true, ShortName="cmp")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Compress the tree Ensemble", Hide=true, ShortName="cmp")>] - - System.Boolean @@ -259,16 +193,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Whether to utilize the disk or the data's native transposition facilities (where applicable) when performing the transpose", ShortName="dt")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Whether to utilize the disk or the data's native transposition facilities (where applicable) when performing the transpose", ShortName="dt")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Whether to utilize the disk or the data's native transposition facilities (where applicable) when performing the transpose", ShortName="dt")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Whether to utilize the disk or the data's native transposition facilities (where applicable) when performing the transpose", ShortName="dt")>] - - System.Nullable<System.Boolean> @@ -290,16 +214,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="The entropy (regularization) coefficient between 0 and 1", ShortName="e")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="The entropy (regularization) coefficient between 0 and 1", ShortName="e")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="The entropy (regularization) coefficient between 0 and 1", ShortName="e")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="The entropy (regularization) coefficient between 0 and 1", ShortName="e")>] - - System.Double @@ -321,12 +235,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Print execution time breakdown to stdout", ShortName="et")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Print execution time breakdown to stdout", ShortName="et")>] - - System.Boolean @@ -348,16 +256,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="The feature first use penalty coefficient", ShortName="ffup")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="The feature first use penalty coefficient", ShortName="ffup")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="The feature first use penalty coefficient", ShortName="ffup")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="The feature first use penalty coefficient", ShortName="ffup")>] - - System.Double @@ -379,16 +277,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Whether to collectivize features during dataset preparation to speed up training", Hide=true, ShortName="flocks")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Whether to collectivize features during dataset preparation to speed up training", Hide=true, ShortName="flocks")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Whether to collectivize features during dataset preparation to speed up training", Hide=true, ShortName="flocks")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Whether to collectivize features during dataset preparation to speed up training", Hide=true, ShortName="flocks")>] - - System.Boolean @@ -410,12 +298,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="The fraction of features (chosen randomly) to use on each iteration", ShortName="ff")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="The fraction of features (chosen randomly) to use on each iteration", ShortName="ff")>] - - System.Double @@ -438,12 +320,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="The fraction of features (chosen randomly) to use on each split", ShortName="sf")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="The fraction of features (chosen randomly) to use on each split", ShortName="sf")>] - - System.Double @@ -465,16 +341,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="The feature re-use penalty (regularization) coefficient", ShortName="frup")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="The feature re-use penalty (regularization) coefficient", ShortName="frup")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="The feature re-use penalty (regularization) coefficient", ShortName="frup")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="The feature re-use penalty (regularization) coefficient", ShortName="frup")>] - - System.Double @@ -496,20 +362,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="The seed of the active feature selection", Hide=true, ShortName="r3")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="The seed of the active feature selection", Hide=true, ShortName="r3")>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(NotGui=true)] - [<Microsoft.ML.Internal.Internallearn.TGUI(NotGui=true)>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="The seed of the active feature selection", Hide=true, ShortName="r3")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="The seed of the active feature selection", Hide=true, ShortName="r3")>] - - System.Int32 @@ -531,16 +383,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Tree fitting gain confidence requirement (should be in the range [0,1) ).", ShortName="gainconf")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Tree fitting gain confidence requirement (should be in the range [0,1) ).", ShortName="gainconf")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Tree fitting gain confidence requirement (should be in the range [0,1) ).", ShortName="gainconf")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Tree fitting gain confidence requirement (should be in the range [0,1) ).", ShortName="gainconf")>] - - System.Double @@ -566,16 +408,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="The number of histograms in the pool (between 2 and numLeaves)", ShortName="ps")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="The number of histograms in the pool (between 2 and numLeaves)", ShortName="ps")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="The number of histograms in the pool (between 2 and numLeaves)", ShortName="ps")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="The number of histograms in the pool (between 2 and numLeaves)", ShortName="ps")>] - - System.Int32 @@ -597,16 +429,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Maximum number of distinct values (bins) per feature", ShortName="mb")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Maximum number of distinct values (bins) per feature", ShortName="mb")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Maximum number of distinct values (bins) per feature", ShortName="mb")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Maximum number of distinct values (bins) per feature", ShortName="mb")>] - - System.Int32 @@ -628,16 +450,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Maximum categorical split groups to consider when splitting on a categorical feature. Split groups are a collection of split points. This is used to reduce overfitting when there many categorical features.", ShortName="mcg")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Maximum categorical split groups to consider when splitting on a categorical feature. Split groups are a collection of split points. This is used to reduce overfitting when there many categorical features.", ShortName="mcg")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Maximum categorical split groups to consider when splitting on a categorical feature. Split groups are a collection of split points. This is used to reduce overfitting when there many categorical features.", ShortName="mcg")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Maximum categorical split groups to consider when splitting on a categorical feature. Split groups are a collection of split points. This is used to reduce overfitting when there many categorical features.", ShortName="mcg")>] - - System.Int32 @@ -659,16 +471,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Maximum categorical split points to consider when splitting on a categorical feature.", ShortName="maxcat")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Maximum categorical split points to consider when splitting on a categorical feature.", ShortName="maxcat")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Maximum categorical split points to consider when splitting on a categorical feature.", ShortName="maxcat")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Maximum categorical split points to consider when splitting on a categorical feature.", ShortName="maxcat")>] - - System.Int32 @@ -690,12 +492,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Print memory statistics to stdout", ShortName="memstats")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Print memory statistics to stdout", ShortName="memstats")>] - - System.Boolean @@ -717,24 +513,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="The minimal number of examples allowed in a leaf of a regression tree, out of the subsampled data", ShortName="mil", SortOrder=3)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="The minimal number of examples allowed in a leaf of a regression tree, out of the subsampled data", ShortName="mil", SortOrder=3)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("MinDocumentsInLeafs", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("MinDocumentsInLeafs", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(Description="Minimum number of training instances required to form a leaf", SuggestedSweeps="1,10,50")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Description="Minimum number of training instances required to form a leaf", SuggestedSweeps="1,10,50")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="The minimal number of examples allowed in a leaf of a regression tree, out of the subsampled data", ShortName="mil", SortOrder=3)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="The minimal number of examples allowed in a leaf of a regression tree, out of the subsampled data", ShortName="mil", SortOrder=3)>] - - System.Int32 @@ -756,16 +534,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Minimum categorical example percentage in a bin to consider for a split.", ShortName="mdop")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Minimum categorical example percentage in a bin to consider for a split.", ShortName="mdop")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Minimum categorical example percentage in a bin to consider for a split.", ShortName="mdop")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Minimum categorical example percentage in a bin to consider for a split.", ShortName="mdop")>] - - System.Double @@ -787,16 +555,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Minimum categorical example count in a bin to consider for a split.", ShortName="mdo")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Minimum categorical example count in a bin to consider for a split.", ShortName="mdo")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Minimum categorical example count in a bin to consider for a split.", ShortName="mdo")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Minimum categorical example count in a bin to consider for a split.", ShortName="mdo")>] - - System.Int32 @@ -818,24 +576,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="The max number of leaves in each regression tree", ShortName="nl", SortOrder=2)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="The max number of leaves in each regression tree", ShortName="nl", SortOrder=2)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableLongParam("NumLeaves", 2, 128, 4, -1, true)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableLongParam("NumLeaves", 2, 128, 4, -1, true)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(Description="The maximum number of leaves per tree", SuggestedSweeps="2-128;log;inc:4")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Description="The maximum number of leaves per tree", SuggestedSweeps="2-128;log;inc:4")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="The max number of leaves in each regression tree", ShortName="nl", SortOrder=2)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="The max number of leaves in each regression tree", ShortName="nl", SortOrder=2)>] - - System.Int32 @@ -857,16 +597,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="The number of threads to use", NullName="<Auto>", ShortName="t")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="The number of threads to use", NullName="<Auto>", ShortName="t")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="The number of threads to use", NullName="<Auto>", ShortName="t")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="The number of threads to use", NullName="<Auto>", ShortName="t")>] - - System.Nullable<System.Int32> @@ -888,24 +618,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Total number of decision trees to create in the ensemble", ShortName="iter", SortOrder=1)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Total number of decision trees to create in the ensemble", ShortName="iter", SortOrder=1)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("NumTrees", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("NumTrees", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(Description="Total number of trees constructed", SuggestedSweeps="20,100,500")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Description="Total number of trees constructed", SuggestedSweeps="20,100,500")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Total number of decision trees to create in the ensemble", ShortName="iter", SortOrder=1)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Total number of decision trees to create in the ensemble", ShortName="iter", SortOrder=1)>] - - System.Int32 @@ -927,16 +639,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="The seed of the random number generator", ShortName="r1")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="The seed of the random number generator", ShortName="r1")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="The seed of the random number generator", ShortName="r1")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="The seed of the random number generator", ShortName="r1")>] - - System.Int32 @@ -958,12 +660,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Smoothing paramter for tree regularization", ShortName="s")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Smoothing paramter for tree regularization", ShortName="s")>] - - System.Double @@ -985,12 +681,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="The temperature of the randomized softmax distribution for choosing the feature", ShortName="smtemp")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="The temperature of the randomized softmax distribution for choosing the feature", ShortName="smtemp")>] - - System.Double @@ -1012,16 +702,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Sparsity level needed to use sparse feature representation", ShortName="sp")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Sparsity level needed to use sparse feature representation", ShortName="sp")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Sparsity level needed to use sparse feature representation", ShortName="sp")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Sparsity level needed to use sparse feature representation", ShortName="sp")>] - - System.Double @@ -1043,16 +723,6 @@ Microsoft.ML.FastTree 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Calculate metric values for train/valid/test every k rounds", ShortName="tf")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Calculate metric values for train/valid/test every k rounds", ShortName="tf")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Calculate metric values for train/valid/test every k rounds", ShortName="tf")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Calculate metric values for train/valid/test every k rounds", ShortName="tf")>] - - System.Int32 diff --git a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/BoosterParameterBase+OptionsBase.xml b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/BoosterParameterBase+OptionsBase.xml index 0b2f1b852..097a35da0 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/BoosterParameterBase+OptionsBase.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/BoosterParameterBase+OptionsBase.xml @@ -51,16 +51,6 @@ Microsoft.ML.LightGbm 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Subsample ratio of columns when constructing each tree. Range: (0,1].", ShortName="ff")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Subsample ratio of columns when constructing each tree. Range: (0,1].", ShortName="ff")>] - - - [Microsoft.ML.EntryPoints.TlcModule/Range(Inf=0, Max=1)] - [<Microsoft.ML.EntryPoints.TlcModule/Range(Inf=0, Max=1)>] - - System.Double @@ -87,24 +77,6 @@ Microsoft.ML.LightGbm 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="L1 regularization term on weights, increase this value will make model more conservative.", ShortName="l1")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="L1 regularization term on weights, increase this value will make model more conservative.", ShortName="l1")>] - - - [Microsoft.ML.EntryPoints.TlcModule/Range(Min=0)] - [<Microsoft.ML.EntryPoints.TlcModule/Range(Min=0)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("RegAlpha", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("RegAlpha", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="Alpha(L1)", SuggestedSweeps="0,0.5,1")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="Alpha(L1)", SuggestedSweeps="0,0.5,1")>] - - System.Double @@ -129,24 +101,6 @@ Microsoft.ML.LightGbm 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="L2 regularization term on weights, increasing this value will make model more conservative.", ShortName="l2")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="L2 regularization term on weights, increasing this value will make model more conservative.", ShortName="l2")>] - - - [Microsoft.ML.EntryPoints.TlcModule/Range(Min=0)] - [<Microsoft.ML.EntryPoints.TlcModule/Range(Min=0)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("RegLambda", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("RegLambda", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="Lambda(L2)", SuggestedSweeps="0,0.5,1")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="Lambda(L2)", SuggestedSweeps="0,0.5,1")>] - - System.Double @@ -171,16 +125,6 @@ Microsoft.ML.LightGbm 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Maximum depth of a tree. 0 means no limit. However, tree still grows by best-first.")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Maximum depth of a tree. 0 means no limit. However, tree still grows by best-first.")>] - - - [Microsoft.ML.EntryPoints.TlcModule/Range(Max=2147483647, Min=0)] - [<Microsoft.ML.EntryPoints.TlcModule/Range(Max=2147483647, Min=0)>] - - System.Int32 @@ -232,16 +176,6 @@ Microsoft.ML.LightGbm 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Minimum sum of instance weight(hessian) needed in a child. If the tree partition step results in a leaf node with the sum of instance weight less than min_child_weight, then the building process will give up further partitioning. In linear regression mode, this simply corresponds to minimum number of instances needed to be in each node. The larger, the more conservative the algorithm will be.")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Minimum sum of instance weight(hessian) needed in a child. If the tree partition step results in a leaf node with the sum of instance weight less than min_child_weight, then the building process will give up further partitioning. In linear regression mode, this simply corresponds to minimum number of instances needed to be in each node. The larger, the more conservative the algorithm will be.")>] - - - [Microsoft.ML.EntryPoints.TlcModule/Range(Min=0)] - [<Microsoft.ML.EntryPoints.TlcModule/Range(Min=0)>] - - System.Double @@ -268,16 +202,6 @@ Microsoft.ML.LightGbm 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Minimum loss reduction required to make a further partition on a leaf node of the tree. the larger, the more conservative the algorithm will be.")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Minimum loss reduction required to make a further partition on a leaf node of the tree. the larger, the more conservative the algorithm will be.")>] - - - [Microsoft.ML.EntryPoints.TlcModule/Range(Min=0)] - [<Microsoft.ML.EntryPoints.TlcModule/Range(Min=0)>] - - System.Double @@ -302,16 +226,6 @@ Microsoft.ML.LightGbm 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Subsample ratio of the training instance. Setting it to 0.5 means that LightGBM randomly collected half of the data instances to grow trees and this will prevent overfitting. Range: (0,1].")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Subsample ratio of the training instance. Setting it to 0.5 means that LightGBM randomly collected half of the data instances to grow trees and this will prevent overfitting. Range: (0,1].")>] - - - [Microsoft.ML.EntryPoints.TlcModule/Range(Inf=0, Max=1)] - [<Microsoft.ML.EntryPoints.TlcModule/Range(Inf=0, Max=1)>] - - System.Double @@ -337,16 +251,6 @@ Microsoft.ML.LightGbm 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Subsample frequency for bagging. 0 means no subsample. Specifies the frequency at which the bagging occurs, where if this is set to N, the subsampling will happen at every N iterations.This must be set with Subsample as this specifies the amount to subsample.")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Subsample frequency for bagging. 0 means no subsample. Specifies the frequency at which the bagging occurs, where if this is set to N, the subsampling will happen at every N iterations.This must be set with Subsample as this specifies the amount to subsample.")>] - - - [Microsoft.ML.EntryPoints.TlcModule/Range(Max=2147483647, Min=0)] - [<Microsoft.ML.EntryPoints.TlcModule/Range(Max=2147483647, Min=0)>] - - System.Int32 diff --git a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/DartBooster+Options.xml b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/DartBooster+Options.xml index d3d44bf09..1a406805b 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/DartBooster+Options.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/DartBooster+Options.xml @@ -12,12 +12,6 @@ Microsoft.ML.Trainers.LightGbm.BoosterParameterBase+OptionsBase - - - [Microsoft.ML.EntryPoints.TlcModule/Component(Desc="Dropouts meet Multiple Additive Regresion Trees. See https://arxiv.org/abs/1505.01866", FriendlyName="Tree Dropout Tree Booster", Name="dart")] - [<Microsoft.ML.EntryPoints.TlcModule/Component(Desc="Dropouts meet Multiple Additive Regresion Trees. See https://arxiv.org/abs/1505.01866", FriendlyName="Tree Dropout Tree Booster", Name="dart")>] - - The options for , used for setting . @@ -52,16 +46,6 @@ Microsoft.ML.LightGbm 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Maximum number of dropped trees in a boosting round.")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Maximum number of dropped trees in a boosting round.")>] - - - [Microsoft.ML.EntryPoints.TlcModule/Range(Inf=0, Max=2147483647)] - [<Microsoft.ML.EntryPoints.TlcModule/Range(Inf=0, Max=2147483647)>] - - System.Int32 @@ -83,16 +67,6 @@ Microsoft.ML.LightGbm 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Probability for not dropping in a boosting round.")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Probability for not dropping in a boosting round.")>] - - - [Microsoft.ML.EntryPoints.TlcModule/Range(Inf=0, Max=1)] - [<Microsoft.ML.EntryPoints.TlcModule/Range(Inf=0, Max=1)>] - - System.Double @@ -114,16 +88,6 @@ Microsoft.ML.LightGbm 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="The drop ratio for trees. Range:(0,1).")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="The drop ratio for trees. Range:(0,1).")>] - - - [Microsoft.ML.EntryPoints.TlcModule/Range(Inf=0, Max=1)] - [<Microsoft.ML.EntryPoints.TlcModule/Range(Inf=0, Max=1)>] - - System.Double @@ -148,12 +112,6 @@ Microsoft.ML.LightGbm 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="True will enable uniform drop.")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="True will enable uniform drop.")>] - - System.Boolean @@ -175,12 +133,6 @@ Microsoft.ML.LightGbm 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="True will enable xgboost dart mode.")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="True will enable xgboost dart mode.")>] - - System.Boolean diff --git a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/GossBooster+Options.xml b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/GossBooster+Options.xml index ccbf3a22a..4393b1a62 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/GossBooster+Options.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/GossBooster+Options.xml @@ -12,12 +12,6 @@ Microsoft.ML.Trainers.LightGbm.BoosterParameterBase+OptionsBase - - - [Microsoft.ML.EntryPoints.TlcModule/Component(Desc="Gradient-based One-Side Sampling.", FriendlyName="Gradient-based One-Size Sampling", Name="goss")] - [<Microsoft.ML.EntryPoints.TlcModule/Component(Desc="Gradient-based One-Side Sampling.", FriendlyName="Gradient-based One-Size Sampling", Name="goss")>] - - The options for , used for setting . @@ -52,16 +46,6 @@ Microsoft.ML.LightGbm 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Retain ratio for small gradient instances.")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Retain ratio for small gradient instances.")>] - - - [Microsoft.ML.EntryPoints.TlcModule/Range(Inf=0, Max=1)] - [<Microsoft.ML.EntryPoints.TlcModule/Range(Inf=0, Max=1)>] - - System.Double @@ -83,16 +67,6 @@ Microsoft.ML.LightGbm 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Retain ratio for large gradient instances.")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Retain ratio for large gradient instances.")>] - - - [Microsoft.ML.EntryPoints.TlcModule/Range(Inf=0, Max=1)] - [<Microsoft.ML.EntryPoints.TlcModule/Range(Inf=0, Max=1)>] - - System.Double diff --git a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/GradientBooster+Options.xml b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/GradientBooster+Options.xml index 09f7dcd2a..40b94c184 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/GradientBooster+Options.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/GradientBooster+Options.xml @@ -12,12 +12,6 @@ Microsoft.ML.Trainers.LightGbm.BoosterParameterBase+OptionsBase - - - [Microsoft.ML.EntryPoints.TlcModule/Component(Desc="Traditional Gradient Boosting Decision Tree.", FriendlyName="Tree Booster", Name="gbdt")] - [<Microsoft.ML.EntryPoints.TlcModule/Component(Desc="Traditional Gradient Boosting Decision Tree.", FriendlyName="Tree Booster", Name="gbdt")>] - - The options for , used for setting . diff --git a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmBinaryTrainer+Options.xml b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmBinaryTrainer+Options.xml index 855f6c132..85db7be80 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmBinaryTrainer+Options.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmBinaryTrainer+Options.xml @@ -50,12 +50,6 @@ Microsoft.ML.LightGbm 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Evaluation metrics.", ShortName="em")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Evaluation metrics.", ShortName="em")>] - - Microsoft.ML.Trainers.LightGbm.LightGbmBinaryTrainer+Options+EvaluateMetricType @@ -77,16 +71,6 @@ Microsoft.ML.LightGbm 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Parameter for the sigmoid function.", ShortName="sigmoid")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Parameter for the sigmoid function.", ShortName="sigmoid")>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="Sigmoid", SuggestedSweeps="0.5,1")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="Sigmoid", SuggestedSweeps="0.5,1")>] - - System.Double @@ -108,12 +92,6 @@ Microsoft.ML.LightGbm 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Use for binary classification when training data is not balanced.", ShortName="us")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Use for binary classification when training data is not balanced.", ShortName="us")>] - - System.Boolean @@ -135,12 +113,6 @@ Microsoft.ML.LightGbm 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Control the balance of positive and negative weights, useful for unbalanced classes. A typical value to consider: sum(negative cases) / sum(positive cases).", ShortName="ScalePosWeight")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Control the balance of positive and negative weights, useful for unbalanced classes. A typical value to consider: sum(negative cases) / sum(positive cases).", ShortName="ScalePosWeight")>] - - System.Double diff --git a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmBinaryTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmBinaryTrainer.xml index aa610a8bc..1e395805e 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmBinaryTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmBinaryTrainer.xml @@ -41,8 +41,8 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-lightgbm.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmMulticlassTrainer+Options.xml b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmMulticlassTrainer+Options.xml index 03db0a263..6745cac56 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmMulticlassTrainer+Options.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmMulticlassTrainer+Options.xml @@ -53,12 +53,6 @@ Microsoft.ML.LightGbm 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Evaluation metrics.", ShortName="em")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Evaluation metrics.", ShortName="em")>] - - Microsoft.ML.Trainers.LightGbm.LightGbmMulticlassTrainer+Options+EvaluateMetricType @@ -80,16 +74,6 @@ Microsoft.ML.LightGbm 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Parameter for the sigmoid function.", ShortName="sigmoid")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Parameter for the sigmoid function.", ShortName="sigmoid")>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="Sigmoid", SuggestedSweeps="0.5,1")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="Sigmoid", SuggestedSweeps="0.5,1")>] - - System.Double @@ -111,12 +95,6 @@ Microsoft.ML.LightGbm 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Use for multi-class classification when training data is not balanced", ShortName="us")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Use for multi-class classification when training data is not balanced", ShortName="us")>] - - System.Boolean @@ -138,16 +116,6 @@ Microsoft.ML.LightGbm 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Use softmax loss for the multi classification.")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Use softmax loss for the multi classification.")>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("UseSoftmax", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("UseSoftmax", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - System.Nullable<System.Boolean> diff --git a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmMulticlassTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmMulticlassTrainer.xml index 112e22049..45c4c9228 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmMulticlassTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmMulticlassTrainer.xml @@ -41,9 +41,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-lightgbm.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRankingTrainer+Options.xml b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRankingTrainer+Options.xml index 9641380f3..a34df0d72 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRankingTrainer+Options.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRankingTrainer+Options.xml @@ -53,24 +53,6 @@ Microsoft.ML.LightGbm 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="An array of gains associated to each relevance label.", ShortName="gains")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="An array of gains associated to each relevance label.", ShortName="gains")>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="Ranking Label Gain")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="Ranking Label Gain")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="An array of gains associated to each relevance label.", ShortName="gains")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="An array of gains associated to each relevance label.", ShortName="gains")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="An array of gains associated to each relevance label.", ShortName="gains")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="An array of gains associated to each relevance label.", ShortName="gains")>] - - System.Int32[] @@ -92,12 +74,6 @@ Microsoft.ML.LightGbm 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Evaluation metrics.", ShortName="em")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Evaluation metrics.", ShortName="em")>] - - Microsoft.ML.Trainers.LightGbm.LightGbmRankingTrainer+Options+EvaluateMetricType @@ -119,16 +95,6 @@ Microsoft.ML.LightGbm 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Parameter for the sigmoid function.", ShortName="sigmoid")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Parameter for the sigmoid function.", ShortName="sigmoid")>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="Sigmoid", SuggestedSweeps="0.5,1")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="Sigmoid", SuggestedSweeps="0.5,1")>] - - System.Double diff --git a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRankingTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRankingTrainer.xml index c75484a8e..84298efc1 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRankingTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRankingTrainer.xml @@ -41,9 +41,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-lightgbm.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRegressionTrainer+Options.xml b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRegressionTrainer+Options.xml index 963af402e..95aa13bbd 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRegressionTrainer+Options.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRegressionTrainer+Options.xml @@ -53,12 +53,6 @@ Microsoft.ML.LightGbm 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Evaluation metrics.", ShortName="em")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Evaluation metrics.", ShortName="em")>] - - Microsoft.ML.Trainers.LightGbm.LightGbmRegressionTrainer+Options+EvaluateMetricType diff --git a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRegressionTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRegressionTrainer.xml index b1b1f8be4..fb3a1d82d 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRegressionTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRegressionTrainer.xml @@ -41,9 +41,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-lightgbm.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmTrainerBase`4+OptionsBase.xml b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmTrainerBase`4+OptionsBase.xml index 8eab6eda2..2aa2954d1 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmTrainerBase`4+OptionsBase.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmTrainerBase`4+OptionsBase.xml @@ -47,12 +47,6 @@ Microsoft.ML.LightGbm 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Number of entries in a batch when loading data.", Hide=true)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Number of entries in a batch when loading data.", Hide=true)>] - - System.Int32 @@ -96,20 +90,6 @@ Microsoft.ML.LightGbm 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Lapalace smooth term in categorical feature spilt. Avoid the bias of small categories.")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Lapalace smooth term in categorical feature spilt. Avoid the bias of small categories.")>] - - - [Microsoft.ML.EntryPoints.TlcModule/Range(Min=0)] - [<Microsoft.ML.EntryPoints.TlcModule/Range(Min=0)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("CatSmooth", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("CatSmooth", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - System.Double @@ -135,12 +115,6 @@ Microsoft.ML.LightGbm 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Rounds of early stopping, 0 will disable it.", ShortName="es")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Rounds of early stopping, 0 will disable it.", ShortName="es")>] - - System.Int32 @@ -165,20 +139,6 @@ Microsoft.ML.LightGbm 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Enable special handling of missing value or not.")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Enable special handling of missing value or not.")>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("UseMissing", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("UseMissing", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Enable special handling of missing value or not.", ShortName="hmv")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Enable special handling of missing value or not.", ShortName="hmv")>] - - System.Boolean @@ -200,20 +160,6 @@ Microsoft.ML.LightGbm 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="L2 Regularization for categorical split.")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="L2 Regularization for categorical split.")>] - - - [Microsoft.ML.EntryPoints.TlcModule/Range(Min=0)] - [<Microsoft.ML.EntryPoints.TlcModule/Range(Min=0)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("CatL2", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("CatL2", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - System.Double @@ -235,20 +181,6 @@ Microsoft.ML.LightGbm 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Shrinkage rate for trees, used to prevent over-fitting. Range: (0,1].", NullName="<Auto>", ShortName="lr", SortOrder=2)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Shrinkage rate for trees, used to prevent over-fitting. Range: (0,1].", NullName="<Auto>", ShortName="lr", SortOrder=2)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableFloatParam("LearningRate", 0.025, 0.4, -1, -1, true)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableFloatParam("LearningRate", 0.025, 0.4, -1, -1, true)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="Learning Rate", SuggestedSweeps="0.025-0.4;log")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="Learning Rate", SuggestedSweeps="0.025-0.4;log")>] - - System.Nullable<System.Double> @@ -273,12 +205,6 @@ Microsoft.ML.LightGbm 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Maximum number of bucket bin for features.", ShortName="mb")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Maximum number of bucket bin for features.", ShortName="mb")>] - - System.Int32 @@ -302,20 +228,6 @@ Microsoft.ML.LightGbm 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Max number of categorical thresholds.", ShortName="maxcat")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Max number of categorical thresholds.", ShortName="maxcat")>] - - - [Microsoft.ML.EntryPoints.TlcModule/Range(Inf=0, Max=2147483647)] - [<Microsoft.ML.EntryPoints.TlcModule/Range(Inf=0, Max=2147483647)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("MaxCatThreshold", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("MaxCatThreshold", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - System.Int32 @@ -337,20 +249,6 @@ Microsoft.ML.LightGbm 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Minimum number of instances per categorical group.", ShortName="mdpg")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Minimum number of instances per categorical group.", ShortName="mdpg")>] - - - [Microsoft.ML.EntryPoints.TlcModule/Range(Inf=0, Max=2147483647)] - [<Microsoft.ML.EntryPoints.TlcModule/Range(Inf=0, Max=2147483647)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("MinDataPerGroup", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("MinDataPerGroup", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - System.Int32 @@ -372,20 +270,6 @@ Microsoft.ML.LightGbm 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Minimum number of instances needed in a child.", NullName="<Auto>", ShortName="mil", SortOrder=2)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Minimum number of instances needed in a child.", NullName="<Auto>", ShortName="mil", SortOrder=2)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("MinDataPerLeaf", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("MinDataPerLeaf", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="Min Documents In Leaves", SuggestedSweeps="1,10,20,50 ")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="Min Documents In Leaves", SuggestedSweeps="1,10,20,50 ")>] - - System.Nullable<System.Int32> @@ -407,20 +291,6 @@ Microsoft.ML.LightGbm 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Number of iterations.", ShortName="iter", SortOrder=1)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Number of iterations.", ShortName="iter", SortOrder=1)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("NumBoostRound", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("NumBoostRound", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="Number of boosting iterations", SuggestedSweeps="10,20,50,100,150,200")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="Number of boosting iterations", SuggestedSweeps="10,20,50,100,150,200")>] - - System.Int32 @@ -442,20 +312,6 @@ Microsoft.ML.LightGbm 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Maximum leaves for trees.", NullName="<Auto>", ShortName="nl", SortOrder=2)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Maximum leaves for trees.", NullName="<Auto>", ShortName="nl", SortOrder=2)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableLongParam("NumLeaves", 2, 128, 4, -1, true)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableLongParam("NumLeaves", 2, 128, 4, -1, true)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(Description="The maximum number of leaves per tree", SuggestedSweeps="2-128;log;inc:4")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Description="The maximum number of leaves per tree", SuggestedSweeps="2-128;log;inc:4")>] - - System.Nullable<System.Int32> @@ -477,12 +333,6 @@ Microsoft.ML.LightGbm 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Number of parallel threads used to run LightGBM.", ShortName="nt")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Number of parallel threads used to run LightGBM.", ShortName="nt")>] - - System.Nullable<System.Int32> @@ -504,12 +354,6 @@ Microsoft.ML.LightGbm 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Sets the random seed for LightGBM to use.")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Sets the random seed for LightGBM to use.")>] - - System.Nullable<System.Int32> @@ -534,12 +378,6 @@ Microsoft.ML.LightGbm 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Printing running messages.")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Printing running messages.")>] - - System.Boolean @@ -564,16 +402,6 @@ Microsoft.ML.LightGbm 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Enable categorical split or not.", ShortName="cat")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Enable categorical split or not.", ShortName="cat")>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("UseCat", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("UseCat", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - System.Nullable<System.Boolean> @@ -595,16 +423,6 @@ Microsoft.ML.LightGbm 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Enable usage of zero (0) as missing value.", ShortName="uzam")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Enable usage of zero (0) as missing value.", ShortName="uzam")>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("UseZeroAsMissing", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("UseZeroAsMissing", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - System.Boolean @@ -626,12 +444,6 @@ Microsoft.ML.LightGbm 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Verbose", ShortName="v")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Verbose", ShortName="v")>] - - System.Boolean diff --git a/dotnet/xml/Microsoft.ML.Trainers/AveragedLinearOptions.xml b/dotnet/xml/Microsoft.ML.Trainers/AveragedLinearOptions.xml index 458e3e513..c9bb16b46 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/AveragedLinearOptions.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/AveragedLinearOptions.xml @@ -46,12 +46,6 @@ Microsoft.ML.StandardTrainers 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Do averaging?", ShortName="avg")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Do averaging?", ShortName="avg")>] - - System.Boolean @@ -78,17 +72,9 @@ 1.0.0.0 - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Decrease learning rate", ShortName="decreaselr", SortOrder=50)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Decrease learning rate", ShortName="decreaselr", SortOrder=50)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("DecreaseLearningRate", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("DecreaseLearningRate", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(Description="Decrease learning rate as iterations progress", Label="Decrease Learning Rate")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Description="Decrease learning rate as iterations progress", Label="Decrease Learning Rate")>] + + [Microsoft.ML.SearchSpace.BooleanChoice] + [<Microsoft.ML.SearchSpace.BooleanChoice>] @@ -117,17 +103,9 @@ 1.0.0.0 - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="L2 Regularization Weight", ShortName="reg,L2RegularizerWeight", SortOrder=50)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="L2 Regularization Weight", ShortName="reg,L2RegularizerWeight", SortOrder=50)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableFloatParam("L2RegularizerWeight", 0, 0.4, -1, -1, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableFloatParam("L2RegularizerWeight", 0, 0.4, -1, -1, false)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="L2 Regularization Weight")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="L2 Regularization Weight")>] + + [Microsoft.ML.SearchSpace.Range(0, 32768, 0, false)] + [<Microsoft.ML.SearchSpace.Range(0, 32768, 0, false)>] @@ -151,12 +129,6 @@ Microsoft.ML.StandardTrainers 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Instead of updating averaged weights on every example, only update when loss is nonzero", ShortName="lazy,DoLazyUpdates")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Instead of updating averaged weights on every example, only update when loss is nonzero", ShortName="lazy,DoLazyUpdates")>] - - System.Boolean @@ -184,17 +156,9 @@ 1.0.0.0 - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Learning rate", ShortName="lr", SortOrder=50)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Learning rate", ShortName="lr", SortOrder=50)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("LearningRate", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("LearningRate", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="Learning rate", SuggestedSweeps="0.01,0.1,0.5,1.0")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="Learning rate", SuggestedSweeps="0.01,0.1,0.5,1.0")>] + + [Microsoft.ML.SearchSpace.Range(0.0001, 1, 1, true)] + [<Microsoft.ML.SearchSpace.Range(0.0001, 1, 1, true)>] @@ -218,12 +182,6 @@ Microsoft.ML.StandardTrainers 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Extra weight given to more recent updates", ShortName="rg")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Extra weight given to more recent updates", ShortName="rg")>] - - System.Single @@ -248,12 +206,6 @@ Microsoft.ML.StandardTrainers 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Whether Recency Gain is multiplicative (vs. additive)", ShortName="rgm,RecencyGainMulti")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Whether Recency Gain is multiplicative (vs. additive)", ShortName="rgm,RecencyGainMulti")>] - - System.Boolean @@ -280,12 +232,6 @@ Microsoft.ML.StandardTrainers 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Number of examples after which weights will be reset to the current average", ShortName="numreset")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Number of examples after which weights will be reset to the current average", ShortName="numreset")>] - - System.Nullable<System.Int64> diff --git a/dotnet/xml/Microsoft.ML.Trainers/AveragedPerceptronTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/AveragedPerceptronTrainer.xml index e335e87b0..2b4d20170 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/AveragedPerceptronTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/AveragedPerceptronTrainer.xml @@ -58,9 +58,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/FieldAwareFactorizationMachineTrainer+Options.xml b/dotnet/xml/Microsoft.ML.Trainers/FieldAwareFactorizationMachineTrainer+Options.xml index 5bfdf0db9..6ce4cb527 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/FieldAwareFactorizationMachineTrainer+Options.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/FieldAwareFactorizationMachineTrainer+Options.xml @@ -47,16 +47,6 @@ Microsoft.ML.StandardTrainers 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Extra columns to use for feature vectors. The i-th specified string denotes the column containing features form the (i+1)-th field. Note that the first field is specified by "feat" instead of "exfeat".", ShortName="exfeat", SortOrder=7)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Extra columns to use for feature vectors. The i-th specified string denotes the column containing features form the (i+1)-th field. Note that the first field is specified by "feat" instead of "exfeat".", ShortName="exfeat", SortOrder=7)>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Extra columns to use for feature vectors. The i-th specified string denotes the column containing features form the (i+1)-th field. Note that the first field is specified by "feat" instead of "exfeat".", ShortName="exfeat", SortOrder=7)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Extra columns to use for feature vectors. The i-th specified string denotes the column containing features form the (i+1)-th field. Note that the first field is specified by "feat" instead of "exfeat".", ShortName="exfeat", SortOrder=7)>] - - System.String[] @@ -79,16 +69,6 @@ Microsoft.ML.StandardTrainers 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Regularization coefficient of latent weights", ShortName="lambdaLatent", SortOrder=5)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Regularization coefficient of latent weights", ShortName="lambdaLatent", SortOrder=5)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableFloatParam(1E-08, 1, -1, -1, true)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableFloatParam(1E-08, 1, -1, -1, true)>] - - System.Single @@ -110,16 +90,6 @@ Microsoft.ML.StandardTrainers 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Regularization coefficient of linear weights", ShortName="lambdaLinear", SortOrder=4)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Regularization coefficient of linear weights", ShortName="lambdaLinear", SortOrder=4)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableFloatParam(1E-08, 1, -1, -1, true)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableFloatParam(1E-08, 1, -1, -1, true)>] - - System.Single @@ -141,16 +111,6 @@ Microsoft.ML.StandardTrainers 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Latent space dimension", ShortName="d", SortOrder=3)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Latent space dimension", ShortName="d", SortOrder=3)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableLongParam(4, 100, -1, -1, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableLongParam(4, 100, -1, -1, false)>] - - System.Int32 @@ -172,16 +132,6 @@ Microsoft.ML.StandardTrainers 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Initial learning rate", ShortName="lr", SortOrder=1)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Initial learning rate", ShortName="lr", SortOrder=1)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableFloatParam(0.001, 1, -1, -1, true)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableFloatParam(0.001, 1, -1, -1, true)>] - - System.Single @@ -203,12 +153,6 @@ Microsoft.ML.StandardTrainers 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Whether to normalize the input vectors so that the concatenation of all fields' feature vectors is unit-length", ShortName="norm", SortOrder=6)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Whether to normalize the input vectors so that the concatenation of all fields' feature vectors is unit-length", ShortName="norm", SortOrder=6)>] - - System.Boolean @@ -230,16 +174,6 @@ Microsoft.ML.StandardTrainers 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Number of training iterations", ShortName="iters,iter", SortOrder=2)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Number of training iterations", ShortName="iters,iter", SortOrder=2)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableLongParam(1, 100, -1, -1, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableLongParam(1, 100, -1, -1, false)>] - - System.Int32 @@ -261,16 +195,6 @@ Microsoft.ML.StandardTrainers 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Radius of initial latent factors", ShortName="rad", SortOrder=110)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Radius of initial latent factors", ShortName="rad", SortOrder=110)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableFloatParam(0.1, 1, -1, -1, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableFloatParam(0.1, 1, -1, -1, false)>] - - System.Single @@ -292,12 +216,6 @@ Microsoft.ML.StandardTrainers 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Whether to shuffle for each training iteration", ShortName="shuf", SortOrder=90)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Whether to shuffle for each training iteration", ShortName="shuf", SortOrder=90)>] - - System.Boolean @@ -319,12 +237,6 @@ Microsoft.ML.StandardTrainers 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Report traning progress or not", ShortName="verbose", SortOrder=91)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Report traning progress or not", ShortName="verbose", SortOrder=91)>] - - System.Boolean diff --git a/dotnet/xml/Microsoft.ML.Trainers/FieldAwareFactorizationMachineTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/FieldAwareFactorizationMachineTrainer.xml index e5d112038..8031db54c 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/FieldAwareFactorizationMachineTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/FieldAwareFactorizationMachineTrainer.xml @@ -72,10 +72,10 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/ICalculateFeatureContribution.xml b/dotnet/xml/Microsoft.ML.Trainers/ICalculateFeatureContribution.xml index 32171bb34..caf77fdd9 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/ICalculateFeatureContribution.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/ICalculateFeatureContribution.xml @@ -1,9 +1,10 @@ - + + Microsoft.ML.Data 1.0.0.0 diff --git a/dotnet/xml/Microsoft.ML.Trainers/IClassificationLoss.xml b/dotnet/xml/Microsoft.ML.Trainers/IClassificationLoss.xml index 912c849b5..78335cf3c 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/IClassificationLoss.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/IClassificationLoss.xml @@ -1,9 +1,10 @@ - + + Microsoft.ML.Data 1.0.0.0 diff --git a/dotnet/xml/Microsoft.ML.Trainers/ILossFunction`2.xml b/dotnet/xml/Microsoft.ML.Trainers/ILossFunction`2.xml index e3429dce2..90738afab 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/ILossFunction`2.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/ILossFunction`2.xml @@ -1,9 +1,10 @@ - + + Microsoft.ML.Data 1.0.0.0 diff --git a/dotnet/xml/Microsoft.ML.Trainers/IRegressionLoss.xml b/dotnet/xml/Microsoft.ML.Trainers/IRegressionLoss.xml index 843186332..c1a6ab9d8 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/IRegressionLoss.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/IRegressionLoss.xml @@ -1,9 +1,10 @@ - + + Microsoft.ML.Data 1.0.0.0 diff --git a/dotnet/xml/Microsoft.ML.Trainers/IScalarLoss.xml b/dotnet/xml/Microsoft.ML.Trainers/IScalarLoss.xml index d046d5a4d..99cae97f5 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/IScalarLoss.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/IScalarLoss.xml @@ -1,9 +1,10 @@ - + + Microsoft.ML.Data 1.0.0.0 diff --git a/dotnet/xml/Microsoft.ML.Trainers/ISupportSdcaClassificationLoss.xml b/dotnet/xml/Microsoft.ML.Trainers/ISupportSdcaClassificationLoss.xml index 4f6fce39c..3344ec285 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/ISupportSdcaClassificationLoss.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/ISupportSdcaClassificationLoss.xml @@ -1,9 +1,10 @@ - + + Microsoft.ML.Data 1.0.0.0 diff --git a/dotnet/xml/Microsoft.ML.Trainers/ISupportSdcaLoss.xml b/dotnet/xml/Microsoft.ML.Trainers/ISupportSdcaLoss.xml index 2a609bf10..ba39d8a68 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/ISupportSdcaLoss.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/ISupportSdcaLoss.xml @@ -1,9 +1,10 @@ - + + Microsoft.ML.Data 1.0.0.0 diff --git a/dotnet/xml/Microsoft.ML.Trainers/ISupportSdcaRegressionLoss.xml b/dotnet/xml/Microsoft.ML.Trainers/ISupportSdcaRegressionLoss.xml index d837a44aa..62803ccf0 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/ISupportSdcaRegressionLoss.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/ISupportSdcaRegressionLoss.xml @@ -1,9 +1,10 @@ - + + Microsoft.ML.Data 1.0.0.0 diff --git a/dotnet/xml/Microsoft.ML.Trainers/ITrainerEstimator`2.xml b/dotnet/xml/Microsoft.ML.Trainers/ITrainerEstimator`2.xml index cf2b95257..70bed03d6 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/ITrainerEstimator`2.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/ITrainerEstimator`2.xml @@ -1,12 +1,13 @@ - - + + - + + Microsoft.ML.Data 1.0.0.0 @@ -44,7 +45,7 @@ - + Property diff --git a/dotnet/xml/Microsoft.ML.Trainers/KMeansTrainer+Options.xml b/dotnet/xml/Microsoft.ML.Trainers/KMeansTrainer+Options.xml index 267a85b12..12f859f85 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/KMeansTrainer+Options.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/KMeansTrainer+Options.xml @@ -46,16 +46,6 @@ Microsoft.ML.KMeansClustering 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Memory budget (in MBs) to use for KMeans acceleration", Name="AccelMemBudgetMb", ShortName="accelMemBudgetMb")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Memory budget (in MBs) to use for KMeans acceleration", Name="AccelMemBudgetMb", ShortName="accelMemBudgetMb")>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="Memory Budget (in MBs) for KMeans Acceleration")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="Memory Budget (in MBs) for KMeans Acceleration")>] - - System.Int32 @@ -77,12 +67,6 @@ Microsoft.ML.KMeansClustering 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Cluster initialization algorithm", ShortName="init")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Cluster initialization algorithm", ShortName="init")>] - - Microsoft.ML.Trainers.KMeansTrainer+InitializationAlgorithm @@ -104,16 +88,6 @@ Microsoft.ML.KMeansClustering 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Maximum number of iterations.", ShortName="maxiter, NumberOfIterations")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Maximum number of iterations.", ShortName="maxiter, NumberOfIterations")>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="Max Number of Iterations")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="Max Number of Iterations")>] - - System.Int32 @@ -135,20 +109,6 @@ Microsoft.ML.KMeansClustering 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="The number of clusters", Name="K", SortOrder=50)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="The number of clusters", Name="K", SortOrder=50)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("K", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("K", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="5,10,20,40")] - [<Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="5,10,20,40")>] - - System.Int32 @@ -170,16 +130,6 @@ Microsoft.ML.KMeansClustering 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Degree of lock-free parallelism. Defaults to automatic. Determinism not guaranteed.", ShortName="nt,t,threads", SortOrder=50)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Degree of lock-free parallelism. Defaults to automatic. Determinism not guaranteed.", ShortName="nt,t,threads", SortOrder=50)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="Number of threads")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="Number of threads")>] - - System.Nullable<System.Int32> @@ -201,16 +151,6 @@ Microsoft.ML.KMeansClustering 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Tolerance parameter for trainer convergence. Low = slower, more accurate", Name="OptTol", ShortName="ot")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Tolerance parameter for trainer convergence. Low = slower, more accurate", Name="OptTol", ShortName="ot")>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(Description="Threshold for trainer convergence", Label="Optimization Tolerance")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Description="Threshold for trainer convergence", Label="Optimization Tolerance")>] - - System.Single diff --git a/dotnet/xml/Microsoft.ML.Trainers/LbfgsLogisticRegressionBinaryTrainer+Options.xml b/dotnet/xml/Microsoft.ML.Trainers/LbfgsLogisticRegressionBinaryTrainer+Options.xml index 25af0d0bb..3682046cc 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/LbfgsLogisticRegressionBinaryTrainer+Options.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/LbfgsLogisticRegressionBinaryTrainer+Options.xml @@ -75,12 +75,6 @@ Microsoft.ML.StandardTrainers 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Show statistics of training examples.", ShortName="stat, ShowTrainingStats", SortOrder=50)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Show statistics of training examples.", ShortName="stat, ShowTrainingStats", SortOrder=50)>] - - System.Boolean diff --git a/dotnet/xml/Microsoft.ML.Trainers/LbfgsLogisticRegressionBinaryTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/LbfgsLogisticRegressionBinaryTrainer.xml index 6750230e4..2e94b4ec5 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/LbfgsLogisticRegressionBinaryTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/LbfgsLogisticRegressionBinaryTrainer.xml @@ -66,9 +66,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/LbfgsMaximumEntropyMulticlassTrainer+Options.xml b/dotnet/xml/Microsoft.ML.Trainers/LbfgsMaximumEntropyMulticlassTrainer+Options.xml index ec3890f3f..12359effa 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/LbfgsMaximumEntropyMulticlassTrainer+Options.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/LbfgsMaximumEntropyMulticlassTrainer+Options.xml @@ -52,12 +52,6 @@ Microsoft.ML.StandardTrainers 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Show statistics of training examples.", ShortName="stat, ShowTrainingStats", SortOrder=50)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Show statistics of training examples.", ShortName="stat, ShowTrainingStats", SortOrder=50)>] - - System.Boolean diff --git a/dotnet/xml/Microsoft.ML.Trainers/LbfgsMaximumEntropyMulticlassTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/LbfgsMaximumEntropyMulticlassTrainer.xml index 9636ee96c..135253a16 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/LbfgsMaximumEntropyMulticlassTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/LbfgsMaximumEntropyMulticlassTrainer.xml @@ -61,9 +61,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/LbfgsPoissonRegressionTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/LbfgsPoissonRegressionTrainer.xml index 63fad6047..e9c2a26a8 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/LbfgsPoissonRegressionTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/LbfgsPoissonRegressionTrainer.xml @@ -45,9 +45,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/LbfgsTrainerBase`3+OptionsBase.xml b/dotnet/xml/Microsoft.ML.Trainers/LbfgsTrainerBase`3+OptionsBase.xml index abd792e41..14433f0bd 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/LbfgsTrainerBase`3+OptionsBase.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/LbfgsTrainerBase`3+OptionsBase.xml @@ -65,13 +65,9 @@ 1.0.0.0 - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Force densification of the internal optimization vectors", ShortName="do")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Force densification of the internal optimization vectors", ShortName="do")>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("DenseOptimizer", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("DenseOptimizer", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] + + [Microsoft.ML.SearchSpace.BooleanChoice] + [<Microsoft.ML.SearchSpace.BooleanChoice>] @@ -96,9 +92,9 @@ 1.0.0.0 - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Enforce non-negative weights", ShortName="nn", SortOrder=90)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Enforce non-negative weights", ShortName="nn", SortOrder=90)>] + + [Microsoft.ML.SearchSpace.BooleanChoice] + [<Microsoft.ML.SearchSpace.BooleanChoice>] @@ -123,17 +119,9 @@ 1.0.0.0 - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Memory size for L-BFGS. Low=faster, less accurate", ShortName="m, MemorySize", SortOrder=50)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Memory size for L-BFGS. Low=faster, less accurate", ShortName="m, MemorySize", SortOrder=50)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("MemorySize", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("MemorySize", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(Description="Memory size for L-BFGS", SuggestedSweeps="5,20,50")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Description="Memory size for L-BFGS", SuggestedSweeps="5,20,50")>] + + [Microsoft.ML.SearchSpace.Range(2, 512, 2, true)] + [<Microsoft.ML.SearchSpace.Range(2, 512, 2, true)>] @@ -158,21 +146,9 @@ 1.0.0.0 - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Init weights diameter", ShortName="initwts, InitWtsDiameter", SortOrder=140)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Init weights diameter", ShortName="initwts, InitWtsDiameter", SortOrder=140)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableFloatParam("InitWtsDiameter", 0, 1, -1, 5, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableFloatParam("InitWtsDiameter", 0, 1, -1, 5, false)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="Initial Weights Scale", SuggestedSweeps="0,0.1,0.5,1")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="Initial Weights Scale", SuggestedSweeps="0,0.1,0.5,1")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Init weights diameter", ShortName="initwts, InitWtsDiameter", SortOrder=140)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Init weights diameter", ShortName="initwts, InitWtsDiameter", SortOrder=140)>] + + [Microsoft.ML.SearchSpace.Range(0, 1, 0, false)] + [<Microsoft.ML.SearchSpace.Range(0, 1, 0, false)>] @@ -201,17 +177,9 @@ 1.0.0.0 - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="L1 regularization weight", ShortName="l1, L1Weight", SortOrder=50)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="L1 regularization weight", ShortName="l1, L1Weight", SortOrder=50)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableFloatParam(0, 1, -1, 4, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableFloatParam(0, 1, -1, 4, false)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(Description="Weight of L1 regularizer term", Label="L1 Weight", SuggestedSweeps="0,0.1,1")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Description="Weight of L1 regularizer term", Label="L1 Weight", SuggestedSweeps="0,0.1,1")>] + + [Microsoft.ML.SearchSpace.Range(0.03125, 32768, 1, true)] + [<Microsoft.ML.SearchSpace.Range(0.03125, 32768, 1, true)>] @@ -236,17 +204,9 @@ 1.0.0.0 - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="L2 regularization weight", ShortName="l2, L2Weight", SortOrder=50)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="L2 regularization weight", ShortName="l2, L2Weight", SortOrder=50)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableFloatParam(0, 1, -1, 4, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableFloatParam(0, 1, -1, 4, false)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(Description="Weight of L2 regularizer term", Label="L2 Weight", SuggestedSweeps="0,0.1,1")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Description="Weight of L2 regularizer term", Label="L2 Weight", SuggestedSweeps="0,0.1,1")>] + + [Microsoft.ML.SearchSpace.Range(0.03125, 32768, 1, true)] + [<Microsoft.ML.SearchSpace.Range(0.03125, 32768, 1, true)>] @@ -271,17 +231,9 @@ 1.0.0.0 - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Maximum iterations.", ShortName="maxiter, MaxIterations, NumberOfIterations")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Maximum iterations.", ShortName="maxiter, MaxIterations, NumberOfIterations")>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableLongParam("MaxIterations", 1, 2147483647, -1, -1, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableLongParam("MaxIterations", 1, 2147483647, -1, -1, false)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="Max Number of Iterations")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="Max Number of Iterations")>] + + [Microsoft.ML.SearchSpace.Range(1, 2147483647, 1, true)] + [<Microsoft.ML.SearchSpace.Range(1, 2147483647, 1, true)>] @@ -305,12 +257,6 @@ Microsoft.ML.StandardTrainers 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Number of threads", ShortName="nt, NumThreads")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Number of threads", ShortName="nt, NumThreads")>] - - System.Nullable<System.Int32> @@ -333,17 +279,9 @@ 1.0.0.0 - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Tolerance parameter for optimization convergence. Low = slower, more accurate", ShortName="ot, OptTol", SortOrder=50)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Tolerance parameter for optimization convergence. Low = slower, more accurate", ShortName="ot, OptTol", SortOrder=50)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam(new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam(new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(Description="Threshold for optimizer convergence", Label="Optimization Tolerance", SuggestedSweeps="1e-4,1e-7")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Description="Threshold for optimizer convergence", Label="Optimization Tolerance", SuggestedSweeps="1e-4,1e-7")>] + + [Microsoft.ML.SearchSpace.Range(1E-07, 0.1, 0.0001, true)] + [<Microsoft.ML.SearchSpace.Range(1E-07, 0.1, 0.0001, true)>] @@ -367,12 +305,6 @@ Microsoft.ML.StandardTrainers 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="If set to true, produce no output during training.", ShortName="q")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="If set to true, produce no output during training.", ShortName="q")>] - - System.Boolean @@ -397,12 +329,6 @@ Microsoft.ML.StandardTrainers 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Run SGD to initialize LR weights, converging to this tolerance", ShortName="sgd, SgdInitializationTolerance")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Run SGD to initialize LR weights, converging to this tolerance", ShortName="sgd, SgdInitializationTolerance")>] - - System.Single diff --git a/dotnet/xml/Microsoft.ML.Trainers/LdSvmTrainer+Options.xml b/dotnet/xml/Microsoft.ML.Trainers/LdSvmTrainer+Options.xml index 19ab131ba..4ae213af9 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/LdSvmTrainer+Options.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/LdSvmTrainer+Options.xml @@ -44,12 +44,6 @@ Microsoft.ML.StandardTrainers 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Whether to cache the data before the first iteration")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Whether to cache the data before the first iteration")>] - - System.Boolean @@ -70,17 +64,9 @@ 1.0.0.0 - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Regularizer for kernel parameter Theta", ShortName="lt", SortOrder=50)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Regularizer for kernel parameter Theta", ShortName="lt", SortOrder=50)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("LambdaTheta", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("LambdaTheta", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="0.1,0.01,0.001")] - [<Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="0.1,0.01,0.001")>] + + [Microsoft.ML.SearchSpace.Range(0.0001, 1, 0.0001, true)] + [<Microsoft.ML.SearchSpace.Range(0.0001, 1, 0.0001, true)>] @@ -105,17 +91,9 @@ 1.0.0.0 - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Regularizer for kernel parameter Thetaprime", ShortName="lp", SortOrder=50)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Regularizer for kernel parameter Thetaprime", ShortName="lp", SortOrder=50)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("LambdaThetaprime", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("LambdaThetaprime", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="0.1,0.01,0.001")] - [<Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="0.1,0.01,0.001")>] + + [Microsoft.ML.SearchSpace.Range(0.0001, 1, 0.0001, true)] + [<Microsoft.ML.SearchSpace.Range(0.0001, 1, 0.0001, true)>] @@ -140,17 +118,9 @@ 1.0.0.0 - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Regularizer for classifier parameter W", ShortName="lw", SortOrder=50)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Regularizer for classifier parameter W", ShortName="lw", SortOrder=50)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("LambdaW", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("LambdaW", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="0.1,0.01,0.001")] - [<Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="0.1,0.01,0.001")>] + + [Microsoft.ML.SearchSpace.Range(0.0001, 1, 0.0001, true)] + [<Microsoft.ML.SearchSpace.Range(0.0001, 1, 0.0001, true)>] @@ -175,17 +145,9 @@ 1.0.0.0 - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Number of iterations", ShortName="iter,NumIterations", SortOrder=50)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Number of iterations", ShortName="iter,NumIterations", SortOrder=50)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("NumIterations", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("NumIterations", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="10000,15000")] - [<Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="10000,15000")>] + + [Microsoft.ML.SearchSpace.Range(1, 2147483647, 1, true)] + [<Microsoft.ML.SearchSpace.Range(1, 2147483647, 1, true)>] @@ -210,17 +172,9 @@ 1.0.0.0 - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Parameter for sigmoid sharpness", ShortName="s", SortOrder=50)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Parameter for sigmoid sharpness", ShortName="s", SortOrder=50)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("Sigma", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("Sigma", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="1.0,0.1,0.01")] - [<Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="1.0,0.1,0.01")>] + + [Microsoft.ML.SearchSpace.Range(0.0001, 1, 0.0001, true)] + [<Microsoft.ML.SearchSpace.Range(0.0001, 1, 0.0001, true)>] @@ -245,17 +199,9 @@ 1.0.0.0 - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Depth of Local Deep SVM tree", ShortName="depth", SortOrder=50)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Depth of Local Deep SVM tree", ShortName="depth", SortOrder=50)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("TreeDepth", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("TreeDepth", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="1,3,5,7")] - [<Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="1,3,5,7")>] + + [Microsoft.ML.SearchSpace.Range(1, 128, 1, true)] + [<Microsoft.ML.SearchSpace.Range(1, 128, 1, true)>] @@ -280,13 +226,9 @@ 1.0.0.0 - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="No bias", ShortName="bias")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="No bias", ShortName="bias")>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("NoBias", null, true)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("NoBias", null, true)>] + + [Microsoft.ML.SearchSpace.BooleanChoice(true)] + [<Microsoft.ML.SearchSpace.BooleanChoice(true)>] diff --git a/dotnet/xml/Microsoft.ML.Trainers/LdSvmTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/LdSvmTrainer.xml index 3d7e005f6..ad398a5bd 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/LdSvmTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/LdSvmTrainer.xml @@ -51,8 +51,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/LinearSvmTrainer+Options.xml b/dotnet/xml/Microsoft.ML.Trainers/LinearSvmTrainer+Options.xml index 5985c1abe..2cf0b8a4c 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/LinearSvmTrainer+Options.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/LinearSvmTrainer+Options.xml @@ -48,13 +48,9 @@ 1.0.0.0 - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Batch size", ShortName="batch", SortOrder=190)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Batch size", ShortName="batch", SortOrder=190)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="Batch Size")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="Batch Size")>] + + [Microsoft.ML.SearchSpace.Range(1, 128, 1, true)] + [<Microsoft.ML.SearchSpace.Range(1, 128, 1, true)>] @@ -76,12 +72,6 @@ Microsoft.ML.StandardTrainers 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Column to use for example weight", ShortName="weight,WeightColumn", SortOrder=4, Visibility=Microsoft.ML.CommandLine.ArgumentAttribute+VisibilityType.EntryPointsOnly)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Column to use for example weight", ShortName="weight,WeightColumn", SortOrder=4, Visibility=Microsoft.ML.CommandLine.ArgumentAttribute+VisibilityType.EntryPointsOnly)>] - - System.String @@ -104,17 +94,9 @@ 1.0.0.0 - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Regularizer constant", ShortName="lambda", SortOrder=50)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Regularizer constant", ShortName="lambda", SortOrder=50)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableFloatParam("Lambda", 1E-05, 0.1, 10, -1, true)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableFloatParam("Lambda", 1E-05, 0.1, 10, -1, true)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="0.00001-0.1;log;inc:10")] - [<Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="0.00001-0.1;log;inc:10")>] + + [Microsoft.ML.SearchSpace.Range(1E-06, 1, 0.0001, true)] + [<Microsoft.ML.SearchSpace.Range(1E-06, 1, 0.0001, true)>] @@ -137,13 +119,9 @@ 1.0.0.0 - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="No bias")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="No bias")>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("NoBias", null, true)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("NoBias", null, true)>] + + [Microsoft.ML.SearchSpace.BooleanChoice(false)] + [<Microsoft.ML.SearchSpace.BooleanChoice(false)>] @@ -166,13 +144,9 @@ 1.0.0.0 - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Perform projection to unit-ball? Typically used with batch size > 1.", ShortName="project", SortOrder=50)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Perform projection to unit-ball? Typically used with batch size > 1.", ShortName="project", SortOrder=50)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("PerformProjection", null, true)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("PerformProjection", null, true)>] + + [Microsoft.ML.SearchSpace.BooleanChoice(false)] + [<Microsoft.ML.SearchSpace.BooleanChoice(false)>] diff --git a/dotnet/xml/Microsoft.ML.Trainers/LinearSvmTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/LinearSvmTrainer.xml index 548ad158c..9181b901d 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/LinearSvmTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/LinearSvmTrainer.xml @@ -50,8 +50,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/MatrixFactorizationTrainer+Options.xml b/dotnet/xml/Microsoft.ML.Trainers/MatrixFactorizationTrainer+Options.xml index 6aa6c9cca..32fd4d455 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/MatrixFactorizationTrainer+Options.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/MatrixFactorizationTrainer+Options.xml @@ -46,20 +46,6 @@ Microsoft.ML.Recommender 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Importance of unobserved entries' loss in one-class matrix factorization.")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Importance of unobserved entries' loss in one-class matrix factorization.")>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("Alpha", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("Alpha", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="1,0.01,0.0001,0.000001")] - [<Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="1,0.01,0.0001,0.000001")>] - - System.Double @@ -91,20 +77,6 @@ Microsoft.ML.Recommender 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Latent space dimension (denoted by k). If the factorized matrix is m-by-n, two factor matrices found by matrix factorization are m-by-k and k-by-n, respectively. This value is also known as the rank of matrix factorization because k is generally much smaller than m and n.", ShortName="K")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Latent space dimension (denoted by k). If the factorized matrix is m-by-n, two factor matrices found by matrix factorization are m-by-k and k-by-n, respectively. This value is also known as the rank of matrix factorization because k is generally much smaller than m and n.", ShortName="K")>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("K", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("K", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="8,16,64,128")] - [<Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="8,16,64,128")>] - - System.Int32 @@ -128,20 +100,6 @@ Microsoft.ML.Recommender 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Desired negative entries' value in one-class matrix factorization")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Desired negative entries' value in one-class matrix factorization")>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("C", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("C", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="0.000001,0,0001,0.01")] - [<Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="0.000001,0,0001,0.01")>] - - System.Double @@ -187,20 +145,6 @@ Microsoft.ML.Recommender 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Regularization parameter. It's the weight of factor matrices Frobenius norms in the objective function minimized by matrix factorization's algorithm. A small value could cause over-fitting.")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Regularization parameter. It's the weight of factor matrices Frobenius norms in the objective function minimized by matrix factorization's algorithm. A small value could cause over-fitting.")>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("Lambda", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("Lambda", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="0.01,0.05,0.1,0.5,1")] - [<Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="0.01,0.05,0.1,0.5,1")>] - - System.Double @@ -224,20 +168,6 @@ Microsoft.ML.Recommender 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Initial learning rate. It specifies the speed of the training algorithm. Small value may increase the number of iterations needed to achieve a reasonable result. Large value may lead to numerical difficulty such as a infinity value.", ShortName="Eta")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Initial learning rate. It specifies the speed of the training algorithm. Small value may increase the number of iterations needed to achieve a reasonable result. Large value may lead to numerical difficulty such as a infinity value.", ShortName="Eta")>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("Eta", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("Eta", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="0.001,0.01,0.1")] - [<Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="0.001,0.01,0.1")>] - - System.Double @@ -262,20 +192,6 @@ Microsoft.ML.Recommender 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Loss function minimized for finding factor matrices.")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Loss function minimized for finding factor matrices.")>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("LossFunction", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("LossFunction", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="0,12")] - [<Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="0,12")>] - - Microsoft.ML.Trainers.MatrixFactorizationTrainer+LossFunctionType @@ -345,12 +261,6 @@ Microsoft.ML.Recommender 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Force the factor matrices to be non-negative.", ShortName="nn")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Force the factor matrices to be non-negative.", ShortName="nn")>] - - System.Boolean @@ -372,20 +282,6 @@ Microsoft.ML.Recommender 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Training iterations; that is, the times that the training algorithm iterates through the whole training data once.", ShortName="iter,numiterations")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Training iterations; that is, the times that the training algorithm iterates through the whole training data once.", ShortName="iter,numiterations")>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("NumIterations", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("NumIterations", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="10,20,40")] - [<Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="10,20,40")>] - - System.Int32 @@ -407,12 +303,6 @@ Microsoft.ML.Recommender 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Number of threads can be used in the training procedure.", ShortName="t,numthreads")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Number of threads can be used in the training procedure.", ShortName="t,numthreads")>] - - System.Nullable<System.Int32> @@ -434,12 +324,6 @@ Microsoft.ML.Recommender 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Suppress writing additional information to output.")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Suppress writing additional information to output.")>] - - System.Boolean diff --git a/dotnet/xml/Microsoft.ML.Trainers/MatrixFactorizationTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/MatrixFactorizationTrainer.xml index 9f84844c2..2e6453490 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/MatrixFactorizationTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/MatrixFactorizationTrainer.xml @@ -107,9 +107,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/NaiveBayesMulticlassModelParameters.xml b/dotnet/xml/Microsoft.ML.Trainers/NaiveBayesMulticlassModelParameters.xml index bc8b193c6..27f70238d 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/NaiveBayesMulticlassModelParameters.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/NaiveBayesMulticlassModelParameters.xml @@ -34,7 +34,7 @@ 1.0.0.0 - + [System.Obsolete("This API is deprecated, please use GetFeatureHistogramLong() which returns _featureHistogram with type IReadOnlyList<long> to avoid overflow errors with large datasets.", true)] [<System.Obsolete("This API is deprecated, please use GetFeatureHistogramLong() which returns _featureHistogram with type IReadOnlyList<long> to avoid overflow errors with large datasets.", true)>] @@ -86,7 +86,7 @@ 1.0.0.0 - + [System.Obsolete("This API is deprecated, please use GetLabelHistogramLong() which returns _labelHistogram with type IReadOnlyList<long> to avoid overflow errors with large datasets.", true)] [<System.Obsolete("This API is deprecated, please use GetLabelHistogramLong() which returns _labelHistogram with type IReadOnlyList<long> to avoid overflow errors with large datasets.", true)>] diff --git a/dotnet/xml/Microsoft.ML.Trainers/OlsTrainer+Options.xml b/dotnet/xml/Microsoft.ML.Trainers/OlsTrainer+Options.xml index 97aa3dfe5..ae2fd0477 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/OlsTrainer+Options.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/OlsTrainer+Options.xml @@ -36,6 +36,27 @@ To be added. + + + + + + + Field + + Microsoft.ML.Mkl.Components + 1.0.0.0 + + + System.Int32 + + + + Number of data points per batch, when loading data. + + To be added. + + @@ -47,16 +68,6 @@ Microsoft.ML.Mkl.Components 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Whether to calculate per parameter significance statistics", ShortName="sig")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Whether to calculate per parameter significance statistics", ShortName="sig")>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Whether to calculate per parameter significance statistics", ShortName="sig")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Whether to calculate per parameter significance statistics", ShortName="sig")>] - - System.Boolean @@ -78,20 +89,6 @@ Microsoft.ML.Mkl.Components 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="L2 regularization weight", ShortName="l2", SortOrder=50)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="L2 regularization weight", ShortName="l2", SortOrder=50)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("L2Regularization", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("L2Regularization", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="1e-6,0.1,1")] - [<Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="1e-6,0.1,1")>] - - System.Single diff --git a/dotnet/xml/Microsoft.ML.Trainers/OlsTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/OlsTrainer.xml index 3b05e91ee..b30ba1943 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/OlsTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/OlsTrainer.xml @@ -45,9 +45,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/OnlineGradientDescentTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/OnlineGradientDescentTrainer.xml index 32f49fe30..50b7d3b22 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/OnlineGradientDescentTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/OnlineGradientDescentTrainer.xml @@ -45,9 +45,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/OnlineLinearOptions.xml b/dotnet/xml/Microsoft.ML.Trainers/OnlineLinearOptions.xml index 8196f3fba..b9ead1124 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/OnlineLinearOptions.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/OnlineLinearOptions.xml @@ -47,17 +47,9 @@ 1.0.0.0 - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Init weights diameter", ShortName="initwts,initWtsDiameter", SortOrder=140)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Init weights diameter", ShortName="initwts,initWtsDiameter", SortOrder=140)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableFloatParam("InitWtsDiameter", 0, 1, -1, 5, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableFloatParam("InitWtsDiameter", 0, 1, -1, 5, false)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="Initial Weights Scale", SuggestedSweeps="0,0.1,0.5,1")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="Initial Weights Scale", SuggestedSweeps="0,0.1,0.5,1")>] + + [Microsoft.ML.SearchSpace.Range(0, 1, 0, false)] + [<Microsoft.ML.SearchSpace.Range(0, 1, 0, false)>] @@ -86,17 +78,9 @@ 1.0.0.0 - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Number of iterations", ShortName="iter,numIterations", SortOrder=50)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Number of iterations", ShortName="iter,numIterations", SortOrder=50)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableLongParam("NumIterations", 1, 100, 10, -1, true)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableLongParam("NumIterations", 1, 100, 10, -1, true)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(Description="Number of training iterations through data", Label="Number of Iterations", SuggestedSweeps="1,10,100")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Description="Number of training iterations through data", Label="Number of Iterations", SuggestedSweeps="1,10,100")>] + + [Microsoft.ML.SearchSpace.Range(1, 512, 1, true)] + [<Microsoft.ML.SearchSpace.Range(1, 512, 1, true)>] @@ -120,16 +104,6 @@ Microsoft.ML.StandardTrainers 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Whether to shuffle for each training iteration", ShortName="shuf")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Whether to shuffle for each training iteration", ShortName="shuf")>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("Shuffle", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("Shuffle", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - System.Boolean diff --git a/dotnet/xml/Microsoft.ML.Trainers/RandomizedPcaTrainer+Options.xml b/dotnet/xml/Microsoft.ML.Trainers/RandomizedPcaTrainer+Options.xml index b55c38261..85dbec79b 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/RandomizedPcaTrainer+Options.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/RandomizedPcaTrainer+Options.xml @@ -47,16 +47,6 @@ Microsoft.ML.PCA 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="If enabled, data is centered to be zero mean", Name="Center", ShortName="center")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="If enabled, data is centered to be zero mean", Name="Center", ShortName="center")>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("Center", null, true)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("Center", null, true)>] - - System.Boolean @@ -76,20 +66,6 @@ Microsoft.ML.PCA 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Oversampling parameter for randomized PCA training", SortOrder=50)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Oversampling parameter for randomized PCA training", SortOrder=50)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("Oversampling", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("Oversampling", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="10,20,40")] - [<Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="10,20,40")>] - - System.Int32 @@ -109,20 +85,6 @@ Microsoft.ML.PCA 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="The number of components in the PCA", ShortName="k", SortOrder=50)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="The number of components in the PCA", ShortName="k", SortOrder=50)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("Rank", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("Rank", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="10,20,40,80")] - [<Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="10,20,40,80")>] - - System.Int32 @@ -142,12 +104,6 @@ Microsoft.ML.PCA 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="The seed for random number generation", ShortName="seed")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="The seed for random number generation", ShortName="seed")>] - - System.Nullable<System.Int32> diff --git a/dotnet/xml/Microsoft.ML.Trainers/RandomizedPcaTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/RandomizedPcaTrainer.xml index 55c4d1d00..9b36374d6 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/RandomizedPcaTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/RandomizedPcaTrainer.xml @@ -60,9 +60,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SdcaBinaryTrainerBase`1+BinaryOptionsBase.xml b/dotnet/xml/Microsoft.ML.Trainers/SdcaBinaryTrainerBase`1+BinaryOptionsBase.xml index bf7ed0ee8..66fa78d0c 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SdcaBinaryTrainerBase`1+BinaryOptionsBase.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SdcaBinaryTrainerBase`1+BinaryOptionsBase.xml @@ -58,12 +58,6 @@ Microsoft.ML.StandardTrainers 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Apply weight to the positive class, for imbalanced data", ShortName="piw")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Apply weight to the positive class, for imbalanced data", ShortName="piw")>] - - System.Single diff --git a/dotnet/xml/Microsoft.ML.Trainers/SdcaLogisticRegressionBinaryTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/SdcaLogisticRegressionBinaryTrainer.xml index 1332754d2..8bbcc16a4 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SdcaLogisticRegressionBinaryTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SdcaLogisticRegressionBinaryTrainer.xml @@ -44,9 +44,9 @@ [!include[references](~/../docs/samples/docs/api-reference/algo-details-sdca-refs.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SdcaMaximumEntropyMulticlassTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/SdcaMaximumEntropyMulticlassTrainer.xml index e9fa09377..1bd0ecf35 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SdcaMaximumEntropyMulticlassTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SdcaMaximumEntropyMulticlassTrainer.xml @@ -49,9 +49,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SdcaMulticlassTrainerBase`1.xml b/dotnet/xml/Microsoft.ML.Trainers/SdcaMulticlassTrainerBase`1.xml index 8cb56149f..87a191e7b 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SdcaMulticlassTrainerBase`1.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SdcaMulticlassTrainerBase`1.xml @@ -72,12 +72,12 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedBinaryTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedBinaryTrainer.xml index a734fde4b..242cf8581 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedBinaryTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedBinaryTrainer.xml @@ -42,9 +42,9 @@ [!include[references](~/../docs/samples/docs/api-reference/algo-details-sdca-refs.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedMulticlassTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedMulticlassTrainer.xml index 1bac4efbe..6d61d27af 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedMulticlassTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedMulticlassTrainer.xml @@ -49,9 +49,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SdcaRegressionTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/SdcaRegressionTrainer.xml index 2baa269fd..c6621cbfb 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SdcaRegressionTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SdcaRegressionTrainer.xml @@ -44,9 +44,9 @@ [!include[references](~/../docs/samples/docs/api-reference/algo-details-sdca-refs.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SdcaTrainerBase`3+OptionsBase.xml b/dotnet/xml/Microsoft.ML.Trainers/SdcaTrainerBase`3+OptionsBase.xml index fe1909e89..fbd0f31a8 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SdcaTrainerBase`3+OptionsBase.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SdcaTrainerBase`3+OptionsBase.xml @@ -49,17 +49,9 @@ 1.0.0.0 - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="The learning rate for adjusting bias from being regularized.", ShortName="blr")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="The learning rate for adjusting bias from being regularized.", ShortName="blr")>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("BiasLearningRate", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("BiasLearningRate", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="0, 0.01, 0.1, 1")] - [<Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="0, 0.01, 0.1, 1")>] + + [Microsoft.ML.SearchSpace.Range(1E-07, 1, 1E-07, true)] + [<Microsoft.ML.SearchSpace.Range(1E-07, 1, 1E-07, true)>] @@ -83,12 +75,6 @@ Microsoft.ML.StandardTrainers 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Convergence check frequency (in terms of number of iterations). Set as negative or zero for not checking at all. If left blank, it defaults to check after every 'numThreads' iterations.", NullName="<Auto>", ShortName="checkFreq, CheckFrequency")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Convergence check frequency (in terms of number of iterations). Set as negative or zero for not checking at all. If left blank, it defaults to check after every 'numThreads' iterations.", NullName="<Auto>", ShortName="checkFreq, CheckFrequency")>] - - System.Nullable<System.Int32> @@ -114,17 +100,9 @@ 1.0.0.0 - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="The tolerance for the ratio between duality gap and primal loss for convergence checking.", ShortName="tol")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="The tolerance for the ratio between duality gap and primal loss for convergence checking.", ShortName="tol")>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("ConvergenceTolerance", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("ConvergenceTolerance", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="0.001, 0.01, 0.1, 0.2")] - [<Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="0.001, 0.01, 0.1, 0.2")>] + + [Microsoft.ML.SearchSpace.Range(1E-07, 1, 1E-07, true)] + [<Microsoft.ML.SearchSpace.Range(1E-07, 1, 1E-07, true)>] @@ -149,17 +127,9 @@ 1.0.0.0 - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="L1 soft threshold (L1/L2). Note that it is easier to control and sweep using the threshold parameter than the raw L1-regularizer constant. By default the l1 threshold is automatically inferred based on data set.", Name="L1Threshold", NullName="<Auto>", ShortName="l1", SortOrder=2)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="L1 soft threshold (L1/L2). Note that it is easier to control and sweep using the threshold parameter than the raw L1-regularizer constant. By default the l1 threshold is automatically inferred based on data set.", Name="L1Threshold", NullName="<Auto>", ShortName="l1", SortOrder=2)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("L1Threshold", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("L1Threshold", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="L1 Soft Threshold", SuggestedSweeps="<Auto>,0,0.25,0.5,0.75,1")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="L1 Soft Threshold", SuggestedSweeps="<Auto>,0,0.25,0.5,0.75,1")>] + + [Microsoft.ML.SearchSpace.Range(1E-07, 32768, 1E-07, true)] + [<Microsoft.ML.SearchSpace.Range(1E-07, 32768, 1E-07, true)>] @@ -184,17 +154,9 @@ 1.0.0.0 - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="L2 regularizer constant. By default the l2 constant is automatically inferred based on data set.", NullName="<Auto>", ShortName="l2, L2Const", SortOrder=1)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="L2 regularizer constant. By default the l2 constant is automatically inferred based on data set.", NullName="<Auto>", ShortName="l2, L2Const", SortOrder=1)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("L2Const", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("L2Const", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="L2 Regularizer Constant", SuggestedSweeps="<Auto>,1e-7,1e-6,1e-5,1e-4,1e-3,1e-2")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="L2 Regularizer Constant", SuggestedSweeps="<Auto>,1e-7,1e-6,1e-5,1e-4,1e-3,1e-2")>] + + [Microsoft.ML.SearchSpace.Range(1E-07, 32768, 1E-07, true)] + [<Microsoft.ML.SearchSpace.Range(1E-07, 32768, 1E-07, true)>] @@ -219,17 +181,9 @@ 1.0.0.0 - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Maximum number of iterations; set to 1 to simulate online learning. Defaults to automatic.", NullName="<Auto>", ShortName="iter, MaxIterations, NumberOfIterations")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Maximum number of iterations; set to 1 to simulate online learning. Defaults to automatic.", NullName="<Auto>", ShortName="iter, MaxIterations, NumberOfIterations")>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("MaxIterations", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("MaxIterations", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="Max number of iterations", SuggestedSweeps="<Auto>,10,20,100")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="Max number of iterations", SuggestedSweeps="<Auto>,10,20,100")>] + + [Microsoft.ML.SearchSpace.Range(10, 1000, 10, true)] + [<Microsoft.ML.SearchSpace.Range(10, 1000, 10, true)>] @@ -256,16 +210,6 @@ Microsoft.ML.StandardTrainers 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Degree of lock-free parallelism. Defaults to automatic. Determinism not guaranteed.", NullName="<Auto>", ShortName="nt,t,threads, NumThreads", SortOrder=50)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Degree of lock-free parallelism. Defaults to automatic. Determinism not guaranteed.", NullName="<Auto>", ShortName="nt,t,threads, NumThreads", SortOrder=50)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="Number of threads", SuggestedSweeps="<Auto>,1,2,4")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="Number of threads", SuggestedSweeps="<Auto>,1,2,4")>] - - System.Nullable<System.Int32> @@ -290,16 +234,6 @@ Microsoft.ML.StandardTrainers 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Shuffle data every epoch?", ShortName="shuf")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Shuffle data every epoch?", ShortName="shuf")>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("Shuffle", null, true)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("Shuffle", null, true)>] - - System.Boolean diff --git a/dotnet/xml/Microsoft.ML.Trainers/SgdBinaryTrainerBase`1+OptionsBase.xml b/dotnet/xml/Microsoft.ML.Trainers/SgdBinaryTrainerBase`1+OptionsBase.xml index 683290711..705b90bc1 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SgdBinaryTrainerBase`1+OptionsBase.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SgdBinaryTrainerBase`1+OptionsBase.xml @@ -51,12 +51,6 @@ Microsoft.ML.StandardTrainers 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Convergence check frequency (in terms of number of iterations). Default equals number of threads", ShortName="checkFreq")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Convergence check frequency (in terms of number of iterations). Default equals number of threads", ShortName="checkFreq")>] - - System.Nullable<System.Int32> @@ -82,17 +76,9 @@ 1.0.0.0 - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Exponential moving averaged improvement tolerance for convergence", ShortName="tol")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Exponential moving averaged improvement tolerance for convergence", ShortName="tol")>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("ConvergenceTolerance", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("ConvergenceTolerance", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="1e-2,1e-3,1e-4,1e-5")] - [<Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="1e-2,1e-3,1e-4,1e-5")>] + + [Microsoft.ML.SearchSpace.Range(1E-06, 0.1, 0.1, true)] + [<Microsoft.ML.SearchSpace.Range(1E-06, 0.1, 0.1, true)>] @@ -118,17 +104,9 @@ 1.0.0.0 - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="L2 Regularization constant", ShortName="l2, L2Weight", SortOrder=50)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="L2 Regularization constant", ShortName="l2, L2Weight", SortOrder=50)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("L2Const", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("L2Const", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="L2 Regularization Constant", SuggestedSweeps="1e-7,5e-7,1e-6,5e-6,1e-5")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="L2 Regularization Constant", SuggestedSweeps="1e-7,5e-7,1e-6,5e-6,1e-5")>] + + [Microsoft.ML.SearchSpace.Range(0.03125, 32768, 1, true)] + [<Microsoft.ML.SearchSpace.Range(0.03125, 32768, 1, true)>] @@ -153,13 +131,9 @@ 1.0.0.0 - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Initial learning rate (only used by SGD)", Name="InitialLearningRate", ShortName="ilr,lr,InitLearningRate")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Initial learning rate (only used by SGD)", Name="InitialLearningRate", ShortName="ilr,lr,InitLearningRate")>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="Initial Learning Rate (for SGD)")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="Initial Learning Rate (for SGD)")>] + + [Microsoft.ML.SearchSpace.Range(0.001, 1, 0.001, true)] + [<Microsoft.ML.SearchSpace.Range(0.001, 1, 0.001, true)>] @@ -184,17 +158,9 @@ 1.0.0.0 - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Maximum number of iterations; set to 1 to simulate online learning.", ShortName="iter, MaxIterations")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Maximum number of iterations; set to 1 to simulate online learning.", ShortName="iter, MaxIterations")>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("MaxIterations", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("MaxIterations", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="Max number of iterations", SuggestedSweeps="1,5,10,20")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="Max number of iterations", SuggestedSweeps="1,5,10,20")>] + + [Microsoft.ML.SearchSpace.Range(1, 20, 1, true)] + [<Microsoft.ML.SearchSpace.Range(1, 20, 1, true)>] @@ -221,16 +187,6 @@ Microsoft.ML.StandardTrainers 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Degree of lock-free parallelism. Defaults to automatic depending on data sparseness. Determinism not guaranteed.", ShortName="nt,t,threads, NumThreads", SortOrder=50)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Degree of lock-free parallelism. Defaults to automatic depending on data sparseness. Determinism not guaranteed.", ShortName="nt,t,threads, NumThreads", SortOrder=50)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="Number of threads", SuggestedSweeps="1,2,4")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="Number of threads", SuggestedSweeps="1,2,4")>] - - System.Nullable<System.Int32> @@ -255,12 +211,6 @@ Microsoft.ML.StandardTrainers 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Apply weight to the positive class, for imbalanced data", ShortName="piw")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Apply weight to the positive class, for imbalanced data", ShortName="piw")>] - - System.Single @@ -285,16 +235,6 @@ Microsoft.ML.StandardTrainers 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Shuffle data every epoch?", ShortName="shuf")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Shuffle data every epoch?", ShortName="shuf")>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("Shuffle", null, true)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("Shuffle", null, true)>] - - System.Boolean diff --git a/dotnet/xml/Microsoft.ML.Trainers/SgdCalibratedTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/SgdCalibratedTrainer.xml index 2612f2d59..1aabf54c9 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SgdCalibratedTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SgdCalibratedTrainer.xml @@ -40,9 +40,9 @@ [!include[io](~/../docs/samples/docs/api-reference/algo-details-sgd.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SgdNonCalibratedTrainer+Options.xml b/dotnet/xml/Microsoft.ML.Trainers/SgdNonCalibratedTrainer+Options.xml index 71f82a438..11d3a673f 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SgdNonCalibratedTrainer+Options.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SgdNonCalibratedTrainer+Options.xml @@ -50,16 +50,6 @@ Microsoft.ML.StandardTrainers 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Loss Function", ShortName="loss", SortOrder=50)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Loss Function", ShortName="loss", SortOrder=50)>] - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Loss Function", ShortName="loss", SortOrder=50)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="Loss Function", ShortName="loss", SortOrder=50)>] - - Microsoft.ML.Trainers.IClassificationLoss diff --git a/dotnet/xml/Microsoft.ML.Trainers/SgdNonCalibratedTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/SgdNonCalibratedTrainer.xml index 8738de803..c31b2f36e 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SgdNonCalibratedTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SgdNonCalibratedTrainer.xml @@ -38,9 +38,9 @@ [!include[io](~/../docs/samples/docs/api-reference/algo-details-sgd.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SymbolicSgdLogisticRegressionBinaryTrainer+Options.xml b/dotnet/xml/Microsoft.ML.Trainers/SymbolicSgdLogisticRegressionBinaryTrainer+Options.xml index f7391beed..fda2e68f2 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SymbolicSgdLogisticRegressionBinaryTrainer+Options.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SymbolicSgdLogisticRegressionBinaryTrainer+Options.xml @@ -47,20 +47,6 @@ Microsoft.ML.Mkl.Components 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="L2 regularization", ShortName="l2", SortOrder=52)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="L2 regularization", ShortName="l2", SortOrder=52)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("L2Regularization", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("L2Regularization", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="0.0,1e-5,1e-5,1e-6,1e-7")] - [<Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="0.0,1e-5,1e-5,1e-6,1e-7")>] - - System.Single @@ -82,20 +68,6 @@ Microsoft.ML.Mkl.Components 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Learning rate", NullName="<Auto>", ShortName="lr", SortOrder=51)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Learning rate", NullName="<Auto>", ShortName="lr", SortOrder=51)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("LearningRate", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("LearningRate", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="<Auto>,1e1,1e0,1e-1,1e-2,1e-3")] - [<Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="<Auto>,1e1,1e0,1e-1,1e-2,1e-3")>] - - System.Nullable<System.Single> @@ -117,12 +89,6 @@ Microsoft.ML.Mkl.Components 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="The acceleration memory budget in MB", ShortName="accelMemBudget")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="The acceleration memory budget in MB", ShortName="accelMemBudget")>] - - System.Int64 @@ -144,20 +110,6 @@ Microsoft.ML.Mkl.Components 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Number of passes over the data.", ShortName="iter", SortOrder=50)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Number of passes over the data.", ShortName="iter", SortOrder=50)>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("NumberOfIterations", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("NumberOfIterations", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="1,5,10,20,30,40,50")] - [<Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="1,5,10,20,30,40,50")>] - - System.Int32 @@ -179,12 +131,6 @@ Microsoft.ML.Mkl.Components 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Degree of lock-free parallelism. Determinism not guaranteed. Multi-threading is not supported currently.", ShortName="nt")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Degree of lock-free parallelism. Determinism not guaranteed. Multi-threading is not supported currently.", ShortName="nt")>] - - System.Nullable<System.Int32> @@ -207,12 +153,6 @@ Microsoft.ML.Mkl.Components 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Apply weight to the positive class, for imbalanced data", ShortName="piw")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Apply weight to the positive class, for imbalanced data", ShortName="piw")>] - - System.Single @@ -234,12 +174,6 @@ Microsoft.ML.Mkl.Components 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Shuffle data?", ShortName="shuf")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Shuffle data?", ShortName="shuf")>] - - System.Boolean @@ -261,12 +195,6 @@ Microsoft.ML.Mkl.Components 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Tolerance for difference in average loss in consecutive passes.", ShortName="tol")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Tolerance for difference in average loss in consecutive passes.", ShortName="tol")>] - - System.Single @@ -289,20 +217,6 @@ Microsoft.ML.Mkl.Components 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="The number of iterations each thread learns a local model until combining it with the global model. Low value means more updated global model and high value means less cache traffic.", NullName="<Auto>", ShortName="freq")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="The number of iterations each thread learns a local model until combining it with the global model. Low value means more updated global model and high value means less cache traffic.", NullName="<Auto>", ShortName="freq")>] - - - [Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("UpdateFrequency", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)] - [<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("UpdateFrequency", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>] - - - [Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="<Auto>,5,20")] - [<Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="<Auto>,5,20")>] - - System.Nullable<System.Int32> diff --git a/dotnet/xml/Microsoft.ML.Trainers/SymbolicSgdLogisticRegressionBinaryTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/SymbolicSgdLogisticRegressionBinaryTrainer.xml index 124727e43..b36b5dd88 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SymbolicSgdLogisticRegressionBinaryTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SymbolicSgdLogisticRegressionBinaryTrainer.xml @@ -51,9 +51,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/TrainerInputBase.xml b/dotnet/xml/Microsoft.ML.Trainers/TrainerInputBase.xml index 1e785f6e4..4875f2fd3 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/TrainerInputBase.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/TrainerInputBase.xml @@ -12,12 +12,6 @@ System.Object - - - [Microsoft.ML.EntryPoints.TlcModule/EntryPointKind(new System.Type[] { typeof(Microsoft.ML.EntryPoints.CommonInputs+ITrainerInput) })] - [<Microsoft.ML.EntryPoints.TlcModule/EntryPointKind(new System.Type[] { typeof(Microsoft.ML.EntryPoints.CommonInputs+ITrainerInput) })>] - - The base class for all trainer inputs. @@ -36,12 +30,6 @@ Microsoft.ML.Data 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Column to use for features", ShortName="feat", SortOrder=2, Visibility=Microsoft.ML.CommandLine.ArgumentAttribute+VisibilityType.EntryPointsOnly)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Column to use for features", ShortName="feat", SortOrder=2, Visibility=Microsoft.ML.CommandLine.ArgumentAttribute+VisibilityType.EntryPointsOnly)>] - - System.String diff --git a/dotnet/xml/Microsoft.ML.Trainers/TrainerInputBaseWithGroupId.xml b/dotnet/xml/Microsoft.ML.Trainers/TrainerInputBaseWithGroupId.xml index 7ab45fbc6..5948a2480 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/TrainerInputBaseWithGroupId.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/TrainerInputBaseWithGroupId.xml @@ -12,12 +12,6 @@ Microsoft.ML.Trainers.TrainerInputBaseWithWeight - - - [Microsoft.ML.EntryPoints.TlcModule/EntryPointKind(new System.Type[] { typeof(Microsoft.ML.EntryPoints.CommonInputs+ITrainerInputWithGroupId) })] - [<Microsoft.ML.EntryPoints.TlcModule/EntryPointKind(new System.Type[] { typeof(Microsoft.ML.EntryPoints.CommonInputs+ITrainerInputWithGroupId) })>] - - The base class for all trainer inputs that support a group column. @@ -36,12 +30,6 @@ Microsoft.ML.Data 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Column to use for example groupId", ShortName="groupId", SortOrder=5, Visibility=Microsoft.ML.CommandLine.ArgumentAttribute+VisibilityType.EntryPointsOnly)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Column to use for example groupId", ShortName="groupId", SortOrder=5, Visibility=Microsoft.ML.CommandLine.ArgumentAttribute+VisibilityType.EntryPointsOnly)>] - - System.String diff --git a/dotnet/xml/Microsoft.ML.Trainers/TrainerInputBaseWithLabel.xml b/dotnet/xml/Microsoft.ML.Trainers/TrainerInputBaseWithLabel.xml index 5a16b2473..04682b298 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/TrainerInputBaseWithLabel.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/TrainerInputBaseWithLabel.xml @@ -12,12 +12,6 @@ Microsoft.ML.Trainers.TrainerInputBase - - - [Microsoft.ML.EntryPoints.TlcModule/EntryPointKind(new System.Type[] { typeof(Microsoft.ML.EntryPoints.CommonInputs+ITrainerInputWithLabel) })] - [<Microsoft.ML.EntryPoints.TlcModule/EntryPointKind(new System.Type[] { typeof(Microsoft.ML.EntryPoints.CommonInputs+ITrainerInputWithLabel) })>] - - The base class for all trainer inputs that support a Label column. @@ -36,12 +30,6 @@ Microsoft.ML.Data 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Column to use for labels", ShortName="lab", SortOrder=3, Visibility=Microsoft.ML.CommandLine.ArgumentAttribute+VisibilityType.EntryPointsOnly)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Column to use for labels", ShortName="lab", SortOrder=3, Visibility=Microsoft.ML.CommandLine.ArgumentAttribute+VisibilityType.EntryPointsOnly)>] - - System.String diff --git a/dotnet/xml/Microsoft.ML.Trainers/TrainerInputBaseWithWeight.xml b/dotnet/xml/Microsoft.ML.Trainers/TrainerInputBaseWithWeight.xml index bd921d48c..b803b8463 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/TrainerInputBaseWithWeight.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/TrainerInputBaseWithWeight.xml @@ -12,12 +12,6 @@ Microsoft.ML.Trainers.TrainerInputBaseWithLabel - - - [Microsoft.ML.EntryPoints.TlcModule/EntryPointKind(new System.Type[] { typeof(Microsoft.ML.EntryPoints.CommonInputs+ITrainerInputWithWeight) })] - [<Microsoft.ML.EntryPoints.TlcModule/EntryPointKind(new System.Type[] { typeof(Microsoft.ML.EntryPoints.CommonInputs+ITrainerInputWithWeight) })>] - - The base class for all trainer inputs that support a weight column. @@ -36,12 +30,6 @@ Microsoft.ML.Data 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Column to use for example weight", ShortName="weight", SortOrder=4, Visibility=Microsoft.ML.CommandLine.ArgumentAttribute+VisibilityType.EntryPointsOnly)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Column to use for example weight", ShortName="weight", SortOrder=4, Visibility=Microsoft.ML.CommandLine.ArgumentAttribute+VisibilityType.EntryPointsOnly)>] - - System.String diff --git a/dotnet/xml/Microsoft.ML.Trainers/UnsupervisedTrainerInputBaseWithWeight.xml b/dotnet/xml/Microsoft.ML.Trainers/UnsupervisedTrainerInputBaseWithWeight.xml index 4eabb45cb..cd2b4ba9d 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/UnsupervisedTrainerInputBaseWithWeight.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/UnsupervisedTrainerInputBaseWithWeight.xml @@ -12,12 +12,6 @@ Microsoft.ML.Trainers.TrainerInputBase - - - [Microsoft.ML.EntryPoints.TlcModule/EntryPointKind(new System.Type[] { typeof(Microsoft.ML.EntryPoints.CommonInputs+IUnsupervisedTrainerWithWeight) })] - [<Microsoft.ML.EntryPoints.TlcModule/EntryPointKind(new System.Type[] { typeof(Microsoft.ML.EntryPoints.CommonInputs+IUnsupervisedTrainerWithWeight) })>] - - The base class for all unsupervised trainer inputs that support a weight column. @@ -36,12 +30,6 @@ Microsoft.ML.Data 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Column to use for example weight", ShortName="weight", SortOrder=4, Visibility=Microsoft.ML.CommandLine.ArgumentAttribute+VisibilityType.EntryPointsOnly)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Column to use for example weight", ShortName="weight", SortOrder=4, Visibility=Microsoft.ML.CommandLine.ArgumentAttribute+VisibilityType.EntryPointsOnly)>] - - System.String diff --git a/dotnet/xml/Microsoft.ML.Transforms.Image/ImageResizingEstimator+ResizingKind.xml b/dotnet/xml/Microsoft.ML.Transforms.Image/ImageResizingEstimator+ResizingKind.xml index 5217b9aaf..0db61545e 100644 --- a/dotnet/xml/Microsoft.ML.Transforms.Image/ImageResizingEstimator+ResizingKind.xml +++ b/dotnet/xml/Microsoft.ML.Transforms.Image/ImageResizingEstimator+ResizingKind.xml @@ -29,12 +29,6 @@ Microsoft.ML.ImageAnalytics 1.0.0.0 - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="Ignore aspect ratio and squeeze/stretch into target dimensions")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="Ignore aspect ratio and squeeze/stretch into target dimensions")>] - - Microsoft.ML.Transforms.Image.ImageResizingEstimator+ResizingKind @@ -56,12 +50,6 @@ Microsoft.ML.ImageAnalytics 1.0.0.0 - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="Isotropic with Cropping")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="Isotropic with Cropping")>] - - Microsoft.ML.Transforms.Image.ImageResizingEstimator+ResizingKind @@ -83,12 +71,6 @@ Microsoft.ML.ImageAnalytics 1.0.0.0 - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="Isotropic with Padding")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="Isotropic with Padding")>] - - Microsoft.ML.Transforms.Image.ImageResizingEstimator+ResizingKind diff --git a/dotnet/xml/Microsoft.ML.Transforms.Onnx/OnnxSequenceTypeAttribute.xml b/dotnet/xml/Microsoft.ML.Transforms.Onnx/OnnxSequenceTypeAttribute.xml index 68cab04d0..44c61aa6b 100644 --- a/dotnet/xml/Microsoft.ML.Transforms.Onnx/OnnxSequenceTypeAttribute.xml +++ b/dotnet/xml/Microsoft.ML.Transforms.Onnx/OnnxSequenceTypeAttribute.xml @@ -33,11 +33,11 @@ 1.0.0.0 - + [System.ComponentModel.EditorBrowsable(System.ComponentModel.EditorBrowsableState.Never)] [<System.ComponentModel.EditorBrowsable(System.ComponentModel.EditorBrowsableState.Never)>] - + [System.Obsolete("Please specify sequence type when use OnnxSequenceType Attribute", false)] [<System.Obsolete("Please specify sequence type when use OnnxSequenceType Attribute", false)>] diff --git a/dotnet/xml/Microsoft.ML.Transforms.Onnx/OnnxTransformer.xml b/dotnet/xml/Microsoft.ML.Transforms.Onnx/OnnxTransformer.xml index 75631addc..71a62dda7 100644 --- a/dotnet/xml/Microsoft.ML.Transforms.Onnx/OnnxTransformer.xml +++ b/dotnet/xml/Microsoft.ML.Transforms.Onnx/OnnxTransformer.xml @@ -1,9 +1,9 @@ - - + + - - + + @@ -16,7 +16,7 @@ Microsoft.ML.Data.RowToRowTransformerBase - + System.IDisposable diff --git a/dotnet/xml/Microsoft.ML.Transforms.Text/IStopWordsRemoverOptions.xml b/dotnet/xml/Microsoft.ML.Transforms.Text/IStopWordsRemoverOptions.xml index 7d9709e08..9a49512b9 100644 --- a/dotnet/xml/Microsoft.ML.Transforms.Text/IStopWordsRemoverOptions.xml +++ b/dotnet/xml/Microsoft.ML.Transforms.Text/IStopWordsRemoverOptions.xml @@ -1,9 +1,10 @@ - + + Microsoft.ML.Transforms 1.0.0.0 diff --git a/dotnet/xml/Microsoft.ML.Transforms.Text/LatentDirichletAllocationTransformer.xml b/dotnet/xml/Microsoft.ML.Transforms.Text/LatentDirichletAllocationTransformer.xml index 7901a810b..df55b4248 100644 --- a/dotnet/xml/Microsoft.ML.Transforms.Text/LatentDirichletAllocationTransformer.xml +++ b/dotnet/xml/Microsoft.ML.Transforms.Text/LatentDirichletAllocationTransformer.xml @@ -60,21 +60,21 @@ - - - - - + + + + + Method Microsoft.ML.Transforms 1.0.0.0 - Microsoft.ML.Transforms.Text.LatentDirichletAllocationTransformer+ModelParameters + Microsoft.ML.Transforms.Text.LatentDirichletAllocationTransformer+ModelParameters - + index of column options pair diff --git a/dotnet/xml/Microsoft.ML.Transforms.Text/NgramExtractingEstimator+WeightingCriteria.xml b/dotnet/xml/Microsoft.ML.Transforms.Text/NgramExtractingEstimator+WeightingCriteria.xml index 363ac8d36..91ede2a7f 100644 --- a/dotnet/xml/Microsoft.ML.Transforms.Text/NgramExtractingEstimator+WeightingCriteria.xml +++ b/dotnet/xml/Microsoft.ML.Transforms.Text/NgramExtractingEstimator+WeightingCriteria.xml @@ -30,12 +30,6 @@ Microsoft.ML.Transforms 1.0.0.0 - - - [Microsoft.ML.CommandLine.EnumValueDisplay("IDF (Inverse Document Frequency)")] - [<Microsoft.ML.CommandLine.EnumValueDisplay("IDF (Inverse Document Frequency)")>] - - Microsoft.ML.Transforms.Text.NgramExtractingEstimator+WeightingCriteria @@ -58,12 +52,6 @@ Microsoft.ML.Transforms 1.0.0.0 - - - [Microsoft.ML.CommandLine.EnumValueDisplay("TF (Term Frequency)")] - [<Microsoft.ML.CommandLine.EnumValueDisplay("TF (Term Frequency)")>] - - Microsoft.ML.Transforms.Text.NgramExtractingEstimator+WeightingCriteria @@ -83,12 +71,6 @@ Microsoft.ML.Transforms 1.0.0.0 - - - [Microsoft.ML.CommandLine.EnumValueDisplay("TF-IDF")] - [<Microsoft.ML.CommandLine.EnumValueDisplay("TF-IDF")>] - - Microsoft.ML.Transforms.Text.NgramExtractingEstimator+WeightingCriteria diff --git a/dotnet/xml/Microsoft.ML.Transforms.Text/TextFeaturizingEstimator+Options.xml b/dotnet/xml/Microsoft.ML.Transforms.Text/TextFeaturizingEstimator+Options.xml index ce8debdcb..aed23e63f 100644 --- a/dotnet/xml/Microsoft.ML.Transforms.Text/TextFeaturizingEstimator+Options.xml +++ b/dotnet/xml/Microsoft.ML.Transforms.Text/TextFeaturizingEstimator+Options.xml @@ -46,12 +46,6 @@ Microsoft.ML.Transforms 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Casing text using the rules of the invariant culture.", Name="TextCase", ShortName="case", SortOrder=5)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Casing text using the rules of the invariant culture.", Name="TextCase", ShortName="case", SortOrder=5)>] - - Microsoft.ML.Transforms.Text.TextNormalizingEstimator+CaseMode @@ -94,12 +88,6 @@ Microsoft.ML.Transforms 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Whether to keep diacritical marks or remove them.", ShortName="diac", SortOrder=6)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Whether to keep diacritical marks or remove them.", ShortName="diac", SortOrder=6)>] - - System.Boolean @@ -119,12 +107,6 @@ Microsoft.ML.Transforms 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Whether to keep numbers or remove them.", ShortName="num", SortOrder=8)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Whether to keep numbers or remove them.", ShortName="num", SortOrder=8)>] - - System.Boolean @@ -144,12 +126,6 @@ Microsoft.ML.Transforms 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Whether to keep punctuation marks or remove them.", ShortName="punc", SortOrder=7)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Whether to keep punctuation marks or remove them.", ShortName="punc", SortOrder=7)>] - - System.Boolean @@ -169,12 +145,6 @@ Microsoft.ML.Transforms 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Normalize vectors (rows) individually by rescaling them to unit norm.", Name="VectorNormalizer", ShortName="norm", SortOrder=13)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Normalize vectors (rows) individually by rescaling them to unit norm.", Name="VectorNormalizer", ShortName="norm", SortOrder=13)>] - - Microsoft.ML.Transforms.Text.TextFeaturizingEstimator+NormFunction @@ -196,12 +166,6 @@ Microsoft.ML.Transforms 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Column containing the transformed text tokens.", ShortName="tokens,showtext,showTransformedText", SortOrder=9)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Column containing the transformed text tokens.", ShortName="tokens,showtext,showTransformedText", SortOrder=9)>] - - System.String diff --git a/dotnet/xml/Microsoft.ML.Transforms.Text/TextFeaturizingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms.Text/TextFeaturizingEstimator.xml index 7b4069a55..540a3fb1c 100644 --- a/dotnet/xml/Microsoft.ML.Transforms.Text/TextFeaturizingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms.Text/TextFeaturizingEstimator.xml @@ -48,8 +48,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms.Text/WordBagEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms.Text/WordBagEstimator.xml index 08d67c0f8..55f823165 100644 --- a/dotnet/xml/Microsoft.ML.Transforms.Text/WordBagEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms.Text/WordBagEstimator.xml @@ -40,8 +40,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms.Text/WordEmbeddingEstimator+PretrainedModelKind.xml b/dotnet/xml/Microsoft.ML.Transforms.Text/WordEmbeddingEstimator+PretrainedModelKind.xml index 645be33d9..e286ba7be 100644 --- a/dotnet/xml/Microsoft.ML.Transforms.Text/WordEmbeddingEstimator+PretrainedModelKind.xml +++ b/dotnet/xml/Microsoft.ML.Transforms.Text/WordEmbeddingEstimator+PretrainedModelKind.xml @@ -29,12 +29,6 @@ Microsoft.ML.Transforms 1.0.0.0 - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="fastText Wikipedia 300D")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="fastText Wikipedia 300D")>] - - Microsoft.ML.Transforms.Text.WordEmbeddingEstimator+PretrainedModelKind @@ -56,12 +50,6 @@ Microsoft.ML.Transforms 1.0.0.0 - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="GloVe 100D")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="GloVe 100D")>] - - Microsoft.ML.Transforms.Text.WordEmbeddingEstimator+PretrainedModelKind @@ -83,12 +71,6 @@ Microsoft.ML.Transforms 1.0.0.0 - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="GloVe 200D")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="GloVe 200D")>] - - Microsoft.ML.Transforms.Text.WordEmbeddingEstimator+PretrainedModelKind @@ -110,12 +92,6 @@ Microsoft.ML.Transforms 1.0.0.0 - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="GloVe 300D")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="GloVe 300D")>] - - Microsoft.ML.Transforms.Text.WordEmbeddingEstimator+PretrainedModelKind @@ -137,12 +113,6 @@ Microsoft.ML.Transforms 1.0.0.0 - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="GloVe 50D")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="GloVe 50D")>] - - Microsoft.ML.Transforms.Text.WordEmbeddingEstimator+PretrainedModelKind @@ -164,12 +134,6 @@ Microsoft.ML.Transforms 1.0.0.0 - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="GloVe Twitter 100D")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="GloVe Twitter 100D")>] - - Microsoft.ML.Transforms.Text.WordEmbeddingEstimator+PretrainedModelKind @@ -191,12 +155,6 @@ Microsoft.ML.Transforms 1.0.0.0 - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="GloVe Twitter 200D")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="GloVe Twitter 200D")>] - - Microsoft.ML.Transforms.Text.WordEmbeddingEstimator+PretrainedModelKind @@ -218,12 +176,6 @@ Microsoft.ML.Transforms 1.0.0.0 - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="GloVe Twitter 25D")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="GloVe Twitter 25D")>] - - Microsoft.ML.Transforms.Text.WordEmbeddingEstimator+PretrainedModelKind @@ -245,12 +197,6 @@ Microsoft.ML.Transforms 1.0.0.0 - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="GloVe Twitter 50D")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="GloVe Twitter 50D")>] - - Microsoft.ML.Transforms.Text.WordEmbeddingEstimator+PretrainedModelKind @@ -272,12 +218,6 @@ Microsoft.ML.Transforms 1.0.0.0 - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="Sentiment-Specific Word Embedding")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="Sentiment-Specific Word Embedding")>] - - Microsoft.ML.Transforms.Text.WordEmbeddingEstimator+PretrainedModelKind diff --git a/dotnet/xml/Microsoft.ML.Transforms.Text/WordEmbeddingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms.Text/WordEmbeddingEstimator.xml index b32dbb323..8cedabcc4 100644 --- a/dotnet/xml/Microsoft.ML.Transforms.Text/WordEmbeddingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms.Text/WordEmbeddingEstimator.xml @@ -48,8 +48,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms.Text/WordHashBagEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms.Text/WordHashBagEstimator.xml index 9d06e6361..3fce04c9c 100644 --- a/dotnet/xml/Microsoft.ML.Transforms.Text/WordHashBagEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms.Text/WordHashBagEstimator.xml @@ -40,8 +40,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms.TimeSeries/GrowthRatio.xml b/dotnet/xml/Microsoft.ML.Transforms.TimeSeries/GrowthRatio.xml index 33e91c55a..b19b6b1de 100644 --- a/dotnet/xml/Microsoft.ML.Transforms.TimeSeries/GrowthRatio.xml +++ b/dotnet/xml/Microsoft.ML.Transforms.TimeSeries/GrowthRatio.xml @@ -30,12 +30,6 @@ Microsoft.ML.TimeSeries 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Growth. Must be non-negative.", SortOrder=2)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Growth. Must be non-negative.", SortOrder=2)>] - - System.Double @@ -75,12 +69,6 @@ Microsoft.ML.TimeSeries 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Time span of growth ratio. Must be strictly positive.", SortOrder=1)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Time span of growth ratio. Must be strictly positive.", SortOrder=1)>] - - System.Int32 diff --git a/dotnet/xml/Microsoft.ML.Transforms.TimeSeries/PredictionFunctionExtensions.xml b/dotnet/xml/Microsoft.ML.Transforms.TimeSeries/PredictionFunctionExtensions.xml index 6faf0c252..c7aa24880 100644 --- a/dotnet/xml/Microsoft.ML.Transforms.TimeSeries/PredictionFunctionExtensions.xml +++ b/dotnet/xml/Microsoft.ML.Transforms.TimeSeries/PredictionFunctionExtensions.xml @@ -45,9 +45,9 @@ - - - + + + Class describing input schema to the model. diff --git a/dotnet/xml/Microsoft.ML.Transforms/ColumnSelectingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/ColumnSelectingEstimator.xml index 1e794ee43..e96e57c5d 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/ColumnSelectingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/ColumnSelectingEstimator.xml @@ -41,9 +41,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/CountFeatureSelectingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/CountFeatureSelectingEstimator.xml index b9817eae0..d7ea211df 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/CountFeatureSelectingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/CountFeatureSelectingEstimator.xml @@ -61,8 +61,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/FeatureContributionCalculatingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/FeatureContributionCalculatingEstimator.xml index 4f363d703..b8db167e0 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/FeatureContributionCalculatingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/FeatureContributionCalculatingEstimator.xml @@ -79,8 +79,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/HashingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/HashingEstimator.xml index 22ae91682..aa1d9ffbb 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/HashingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/HashingEstimator.xml @@ -35,8 +35,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/IFunctionProvider.xml b/dotnet/xml/Microsoft.ML.Transforms/IFunctionProvider.xml index 6d71986c1..1ff9328b7 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/IFunctionProvider.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/IFunctionProvider.xml @@ -1,9 +1,10 @@ - + + Microsoft.ML.Transforms 1.0.0.0 diff --git a/dotnet/xml/Microsoft.ML.Transforms/KeyToValueMappingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/KeyToValueMappingEstimator.xml index b08810c07..7976a6572 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/KeyToValueMappingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/KeyToValueMappingEstimator.xml @@ -33,8 +33,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/KeyToVectorMappingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/KeyToVectorMappingEstimator.xml index 6189add8a..412c64df3 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/KeyToVectorMappingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/KeyToVectorMappingEstimator.xml @@ -36,8 +36,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/MissingValueIndicatorEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/MissingValueIndicatorEstimator.xml index 1479e1470..247325059 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/MissingValueIndicatorEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/MissingValueIndicatorEstimator.xml @@ -35,8 +35,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/MissingValueReplacingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/MissingValueReplacingEstimator.xml index ac4e8f1ae..3b9f9d363 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/MissingValueReplacingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/MissingValueReplacingEstimator.xml @@ -37,8 +37,8 @@ Check the See Also section for links of usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/MutualInformationFeatureSelectingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/MutualInformationFeatureSelectingEstimator.xml index 4154dc0eb..18ce498f2 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/MutualInformationFeatureSelectingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/MutualInformationFeatureSelectingEstimator.xml @@ -60,13 +60,13 @@ |True |4,0 | |False|0,5 | |True |4,0 | - |False|0,5 | + |False|0,0 | Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/OneHotEncodingEstimator+OutputKind.xml b/dotnet/xml/Microsoft.ML.Transforms/OneHotEncodingEstimator+OutputKind.xml index 438ad4b1f..c88d8ec84 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/OneHotEncodingEstimator+OutputKind.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/OneHotEncodingEstimator+OutputKind.xml @@ -27,12 +27,6 @@ Microsoft.ML.Transforms 1.0.0.0 - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="Output is a bag (multi-set) vector")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="Output is a bag (multi-set) vector")>] - - Microsoft.ML.Transforms.OneHotEncodingEstimator+OutputKind @@ -54,12 +48,6 @@ Microsoft.ML.Transforms 1.0.0.0 - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="Output is binary encoded")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="Output is binary encoded")>] - - Microsoft.ML.Transforms.OneHotEncodingEstimator+OutputKind @@ -81,12 +69,6 @@ Microsoft.ML.Transforms 1.0.0.0 - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="Output is an indicator vector")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="Output is an indicator vector")>] - - Microsoft.ML.Transforms.OneHotEncodingEstimator+OutputKind @@ -108,12 +90,6 @@ Microsoft.ML.Transforms 1.0.0.0 - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="Output is a key value")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="Output is a key value")>] - - Microsoft.ML.Transforms.OneHotEncodingEstimator+OutputKind diff --git a/dotnet/xml/Microsoft.ML.Transforms/OneHotEncodingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/OneHotEncodingEstimator.xml index 8f1d878ab..34a2092a2 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/OneHotEncodingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/OneHotEncodingEstimator.xml @@ -65,8 +65,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/OneHotHashEncodingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/OneHotHashEncodingEstimator.xml index 7c254fc10..a81eb32b7 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/OneHotHashEncodingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/OneHotHashEncodingEstimator.xml @@ -64,8 +64,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/TensorFlowModel.xml b/dotnet/xml/Microsoft.ML.Transforms/TensorFlowModel.xml index 9170c97d2..ad44d6e38 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/TensorFlowModel.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/TensorFlowModel.xml @@ -1,9 +1,9 @@ - - + + - - + + @@ -16,7 +16,7 @@ System.Object - + System.IDisposable diff --git a/dotnet/xml/Microsoft.ML.Transforms/TensorFlowTransformer.xml b/dotnet/xml/Microsoft.ML.Transforms/TensorFlowTransformer.xml index 6a7f62fa5..bc67bfe22 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/TensorFlowTransformer.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/TensorFlowTransformer.xml @@ -1,9 +1,9 @@ - - + + - - + + @@ -16,7 +16,7 @@ Microsoft.ML.Data.RowToRowTransformerBase - + System.IDisposable diff --git a/dotnet/xml/Microsoft.ML.Transforms/TransformInputBase.xml b/dotnet/xml/Microsoft.ML.Transforms/TransformInputBase.xml index 393ffca97..4940495b1 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/TransformInputBase.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/TransformInputBase.xml @@ -12,12 +12,6 @@ System.Object - - - [Microsoft.ML.EntryPoints.TlcModule/EntryPointKind(new System.Type[] { typeof(Microsoft.ML.EntryPoints.CommonInputs+ITransformInput) })] - [<Microsoft.ML.EntryPoints.TlcModule/EntryPointKind(new System.Type[] { typeof(Microsoft.ML.EntryPoints.CommonInputs+ITransformInput) })>] - - The base class for all transform inputs. diff --git a/dotnet/xml/Microsoft.ML.Transforms/TypeConvertingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/TypeConvertingEstimator.xml index 73b1bef48..a11450241 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/TypeConvertingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/TypeConvertingEstimator.xml @@ -34,8 +34,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/ValueToKeyMappingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/ValueToKeyMappingEstimator.xml index 67c2bb5e7..4d144c382 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/ValueToKeyMappingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/ValueToKeyMappingEstimator.xml @@ -48,8 +48,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/ValueToKeyMappingTransformer.xml b/dotnet/xml/Microsoft.ML.Transforms/ValueToKeyMappingTransformer.xml index 093b3bed3..235c82753 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/ValueToKeyMappingTransformer.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/ValueToKeyMappingTransformer.xml @@ -17,7 +17,6 @@ resulting from fitting a . To be added. - diff --git a/dotnet/xml/Microsoft.ML.Transforms/WhiteningKind.xml b/dotnet/xml/Microsoft.ML.Transforms/WhiteningKind.xml index b4c9c35fd..34bfcbe07 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/WhiteningKind.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/WhiteningKind.xml @@ -31,12 +31,6 @@ Microsoft.ML.Mkl.Components 1.0.0.0 - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="PCA whitening")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="PCA whitening")>] - - Microsoft.ML.Transforms.WhiteningKind @@ -56,12 +50,6 @@ Microsoft.ML.Mkl.Components 1.0.0.0 - - - [Microsoft.ML.Internal.Internallearn.TGUI(Label="ZCA whitening")] - [<Microsoft.ML.Internal.Internallearn.TGUI(Label="ZCA whitening")>] - - Microsoft.ML.Transforms.WhiteningKind diff --git a/dotnet/xml/Microsoft.ML.Vision/ImageClassificationModelParameters.xml b/dotnet/xml/Microsoft.ML.Vision/ImageClassificationModelParameters.xml index 291a17f6b..c9967e4eb 100644 --- a/dotnet/xml/Microsoft.ML.Vision/ImageClassificationModelParameters.xml +++ b/dotnet/xml/Microsoft.ML.Vision/ImageClassificationModelParameters.xml @@ -1,9 +1,9 @@ - - + + - - + + @@ -19,7 +19,7 @@ - + System.IDisposable diff --git a/dotnet/xml/Microsoft.ML.Vision/ImageClassificationTrainer+Options.xml b/dotnet/xml/Microsoft.ML.Vision/ImageClassificationTrainer+Options.xml index 5f6b2a0e4..045fb5c77 100644 --- a/dotnet/xml/Microsoft.ML.Vision/ImageClassificationTrainer+Options.xml +++ b/dotnet/xml/Microsoft.ML.Vision/ImageClassificationTrainer+Options.xml @@ -46,12 +46,6 @@ Microsoft.ML.Vision 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Model architecture to be used in transfer learning for image classification.", SortOrder=15)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Model architecture to be used in transfer learning for image classification.", SortOrder=15)>] - - Microsoft.ML.Vision.ImageClassificationTrainer+Architecture @@ -73,12 +67,6 @@ Microsoft.ML.Vision 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Number of samples to use for mini-batch training.", SortOrder=9)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Number of samples to use for mini-batch training.", SortOrder=9)>] - - System.Int32 @@ -100,12 +88,6 @@ Microsoft.ML.Vision 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Early stopping technique parameters to be used to terminate training when training metric stops improving.", SortOrder=15)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Early stopping technique parameters to be used to terminate training when training metric stops improving.", SortOrder=15)>] - - Microsoft.ML.Vision.ImageClassificationTrainer+EarlyStopping @@ -127,12 +109,6 @@ Microsoft.ML.Vision 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Number of training iterations.", SortOrder=10)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Number of training iterations.", SortOrder=10)>] - - System.Int32 @@ -154,12 +130,6 @@ Microsoft.ML.Vision 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Final model and checkpoint files/folder prefix for storing graph files.", SortOrder=15)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Final model and checkpoint files/folder prefix for storing graph files.", SortOrder=15)>] - - System.String @@ -181,12 +151,6 @@ Microsoft.ML.Vision 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Learning rate to use during optimization.", SortOrder=12)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Learning rate to use during optimization.", SortOrder=12)>] - - System.Single @@ -208,12 +172,6 @@ Microsoft.ML.Vision 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="A class that performs learning rate scheduling.", SortOrder=15)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="A class that performs learning rate scheduling.", SortOrder=15)>] - - Microsoft.ML.Trainers.LearningRateScheduler @@ -235,12 +193,6 @@ Microsoft.ML.Vision 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Callback to report metrics during training and validation phase.", SortOrder=15)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Callback to report metrics during training and validation phase.", SortOrder=15)>] - - System.Action<Microsoft.ML.Vision.ImageClassificationTrainer+ImageClassificationMetrics> @@ -262,12 +214,6 @@ Microsoft.ML.Vision 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Argmax tensor of the last layer in transfer learning.", SortOrder=15)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Argmax tensor of the last layer in transfer learning.", SortOrder=15)>] - - System.String @@ -289,12 +235,6 @@ Microsoft.ML.Vision 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Indicates to not re-compute trained cached bottleneck values if already available in the bin folder.", SortOrder=15)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Indicates to not re-compute trained cached bottleneck values if already available in the bin folder.", SortOrder=15)>] - - System.Boolean @@ -316,12 +256,6 @@ Microsoft.ML.Vision 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Indicates to not re-compute validataionset cached bottleneck validationset values if already available in the bin folder.", SortOrder=15)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Indicates to not re-compute validataionset cached bottleneck validationset values if already available in the bin folder.", SortOrder=15)>] - - System.Boolean @@ -343,12 +277,6 @@ Microsoft.ML.Vision 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Softmax tensor of the last layer in transfer learning.", SortOrder=15)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Softmax tensor of the last layer in transfer learning.", SortOrder=15)>] - - System.String @@ -370,12 +298,6 @@ Microsoft.ML.Vision 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Indicates to evaluate the model on train set after every epoch.", SortOrder=15)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Indicates to evaluate the model on train set after every epoch.", SortOrder=15)>] - - System.Boolean @@ -397,12 +319,6 @@ Microsoft.ML.Vision 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Indicates the file name to store trainset bottleneck values for caching.", SortOrder=15)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Indicates the file name to store trainset bottleneck values for caching.", SortOrder=15)>] - - System.String @@ -424,12 +340,6 @@ Microsoft.ML.Vision 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Validation set.", SortOrder=15)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Validation set.", SortOrder=15)>] - - Microsoft.ML.IDataView @@ -451,12 +361,6 @@ Microsoft.ML.Vision 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Indicates the file name to store validationset bottleneck values for caching.", SortOrder=15)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Indicates the file name to store validationset bottleneck values for caching.", SortOrder=15)>] - - System.String @@ -478,12 +382,6 @@ Microsoft.ML.Vision 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Validation fraction.", SortOrder=15)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Validation fraction.", SortOrder=15)>] - - System.Nullable<System.Single> @@ -507,12 +405,6 @@ Microsoft.ML.Vision 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Indicates the path where the models get downloaded to and cache files saved, default is a new temporary directory.", SortOrder=15)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Indicates the path where the models get downloaded to and cache files saved, default is a new temporary directory.", SortOrder=15)>] - - System.String diff --git a/dotnet/xml/Microsoft.ML/AnomalyDetectionCatalog.xml b/dotnet/xml/Microsoft.ML/AnomalyDetectionCatalog.xml index a2ad79453..d622e0968 100644 --- a/dotnet/xml/Microsoft.ML/AnomalyDetectionCatalog.xml +++ b/dotnet/xml/Microsoft.ML/AnomalyDetectionCatalog.xml @@ -42,8 +42,8 @@ - - + + To be added. diff --git a/dotnet/xml/Microsoft.ML/BinaryClassificationCatalog.xml b/dotnet/xml/Microsoft.ML/BinaryClassificationCatalog.xml index 83034fa51..502661d9d 100644 --- a/dotnet/xml/Microsoft.ML/BinaryClassificationCatalog.xml +++ b/dotnet/xml/Microsoft.ML/BinaryClassificationCatalog.xml @@ -36,7 +36,7 @@ - The list of trainers for performing binary classification. + The list of calibrators for performing binary classification. To be added. To be added. diff --git a/dotnet/xml/Microsoft.ML/ConversionsExtensionsCatalog.xml b/dotnet/xml/Microsoft.ML/ConversionsExtensionsCatalog.xml index 2ae347abb..d8c869e1c 100644 --- a/dotnet/xml/Microsoft.ML/ConversionsExtensionsCatalog.xml +++ b/dotnet/xml/Microsoft.ML/ConversionsExtensionsCatalog.xml @@ -94,24 +94,24 @@ - - - - - + + + + + Method Microsoft.ML.Data 1.0.0.0 - Microsoft.ML.Transforms.HashingEstimator + Microsoft.ML.Transforms.HashingEstimator - - + + - + [System.ParamArray] [<System.ParamArray>] diff --git a/dotnet/xml/Microsoft.ML/CustomMappingCatalog.xml b/dotnet/xml/Microsoft.ML/CustomMappingCatalog.xml index cd8e23c80..b553b6060 100644 --- a/dotnet/xml/Microsoft.ML/CustomMappingCatalog.xml +++ b/dotnet/xml/Microsoft.ML/CustomMappingCatalog.xml @@ -108,9 +108,9 @@ - - - + + + The class defining which columns to take from the incoming data. @@ -153,10 +153,10 @@ - - - - + + + + The class defining which columns to take from the incoming data. @@ -208,10 +208,10 @@ - - - - + + + + The class defining which columns to take from the incoming data. diff --git a/dotnet/xml/Microsoft.ML/ICanSaveModel.xml b/dotnet/xml/Microsoft.ML/ICanSaveModel.xml index 465af5937..57867a847 100644 --- a/dotnet/xml/Microsoft.ML/ICanSaveModel.xml +++ b/dotnet/xml/Microsoft.ML/ICanSaveModel.xml @@ -1,9 +1,10 @@ - + + Microsoft.ML.Core 1.0.0.0 diff --git a/dotnet/xml/Microsoft.ML/IDataLoaderEstimator`2.xml b/dotnet/xml/Microsoft.ML/IDataLoaderEstimator`2.xml index 58a1febab..e53244aac 100644 --- a/dotnet/xml/Microsoft.ML/IDataLoaderEstimator`2.xml +++ b/dotnet/xml/Microsoft.ML/IDataLoaderEstimator`2.xml @@ -1,9 +1,10 @@ - + + Microsoft.ML.Core 1.0.0.0 diff --git a/dotnet/xml/Microsoft.ML/IDataLoader`1.xml b/dotnet/xml/Microsoft.ML/IDataLoader`1.xml index bbb3cac2a..1e3495d2b 100644 --- a/dotnet/xml/Microsoft.ML/IDataLoader`1.xml +++ b/dotnet/xml/Microsoft.ML/IDataLoader`1.xml @@ -1,9 +1,10 @@ - + + Microsoft.ML.Core 1.0.0.0 diff --git a/dotnet/xml/Microsoft.ML/IDataView.xml b/dotnet/xml/Microsoft.ML/IDataView.xml index 922646bea..2ed8fd1db 100644 --- a/dotnet/xml/Microsoft.ML/IDataView.xml +++ b/dotnet/xml/Microsoft.ML/IDataView.xml @@ -1,9 +1,10 @@ - + + Microsoft.ML.DataView 1.0.0.0 diff --git a/dotnet/xml/Microsoft.ML/IEstimator`1.xml b/dotnet/xml/Microsoft.ML/IEstimator`1.xml index db5e77b3a..8f8bd35e9 100644 --- a/dotnet/xml/Microsoft.ML/IEstimator`1.xml +++ b/dotnet/xml/Microsoft.ML/IEstimator`1.xml @@ -1,9 +1,10 @@ - + + Microsoft.ML.Core 1.0.0.0 diff --git a/dotnet/xml/Microsoft.ML/IPredictionTransformer`1.xml b/dotnet/xml/Microsoft.ML/IPredictionTransformer`1.xml index 55fdda996..a175ec5b3 100644 --- a/dotnet/xml/Microsoft.ML/IPredictionTransformer`1.xml +++ b/dotnet/xml/Microsoft.ML/IPredictionTransformer`1.xml @@ -1,9 +1,10 @@ - + + Microsoft.ML.Data 1.0.0.0 diff --git a/dotnet/xml/Microsoft.ML/ISingleFeaturePredictionTransformer`1.xml b/dotnet/xml/Microsoft.ML/ISingleFeaturePredictionTransformer`1.xml index 56cc450ce..9cd9f379e 100644 --- a/dotnet/xml/Microsoft.ML/ISingleFeaturePredictionTransformer`1.xml +++ b/dotnet/xml/Microsoft.ML/ISingleFeaturePredictionTransformer`1.xml @@ -1,9 +1,10 @@ - + + Microsoft.ML.Data 1.0.0.0 diff --git a/dotnet/xml/Microsoft.ML/ITransformer.xml b/dotnet/xml/Microsoft.ML/ITransformer.xml index 5500ea3b1..3df130827 100644 --- a/dotnet/xml/Microsoft.ML/ITransformer.xml +++ b/dotnet/xml/Microsoft.ML/ITransformer.xml @@ -1,9 +1,10 @@ - + + Microsoft.ML.Core 1.0.0.0 diff --git a/dotnet/xml/Microsoft.ML/ImageEstimatorsCatalog.xml b/dotnet/xml/Microsoft.ML/ImageEstimatorsCatalog.xml index 68bef0311..77f6dd7b5 100644 --- a/dotnet/xml/Microsoft.ML/ImageEstimatorsCatalog.xml +++ b/dotnet/xml/Microsoft.ML/ImageEstimatorsCatalog.xml @@ -226,10 +226,10 @@ Microsoft.ML.Data.ImageLoadingEstimator - - - - + + + + The transform's catalog. diff --git a/dotnet/xml/Microsoft.ML/LightGbmExtensions.xml b/dotnet/xml/Microsoft.ML/LightGbmExtensions.xml index 45e26aa77..10b377a13 100644 --- a/dotnet/xml/Microsoft.ML/LightGbmExtensions.xml +++ b/dotnet/xml/Microsoft.ML/LightGbmExtensions.xml @@ -153,6 +153,126 @@ + + + + + + + Method + + Microsoft.ML.LightGbm + 1.0.0.0 + + + Microsoft.ML.Trainers.LightGbm.LightGbmBinaryTrainer + + + + + + + + The . + A pre-trained of a LightGBM model file inferencing + The name of the feature column. The column data must be a known-sized vector of . + + Create from a pre-trained LightGBM model, which predicts a target using a gradient boosting decision tree binary classification. + + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.LightGbm + 1.0.0.0 + + + Microsoft.ML.Trainers.LightGbm.LightGbmMulticlassTrainer + + + + + + + + The . + A pre-trained of a LightGBM model file inferencing + The name of the feature column. The column data must be a known-sized vector of . + + Create from a pre-trained LightGBM model, which predicts a target using a gradient boosting decision tree multiclass classification model. + + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.LightGbm + 1.0.0.0 + + + Microsoft.ML.Trainers.LightGbm.LightGbmRankingTrainer + + + + + + + + The . + A pre-trained of a LightGBM model file inferencing + The name of the feature column. The column data must be a known-sized vector of . + + Create from a pre-trained LightGBM model, which predicts a target using a gradient boosting decision tree ranking model. + + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.LightGbm + 1.0.0.0 + + + Microsoft.ML.Trainers.LightGbm.LightGbmRegressionTrainer + + + + + + + + The . + A pre-trained of a LightGBM model file inferencing + The name of the feature column. The column data must be a known-sized vector of . + + Create from a pre-trained LightGBM model, which predicts a target using a gradient boosting decision tree regression. + + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.ML/LoggingEventArgs.xml b/dotnet/xml/Microsoft.ML/LoggingEventArgs.xml index 9d387bfdc..5637ac2ec 100644 --- a/dotnet/xml/Microsoft.ML/LoggingEventArgs.xml +++ b/dotnet/xml/Microsoft.ML/LoggingEventArgs.xml @@ -53,9 +53,9 @@ 1.0.0.0 - - - + + + The message being logged diff --git a/dotnet/xml/Microsoft.ML/MLContext.xml b/dotnet/xml/Microsoft.ML/MLContext.xml index fa2455cbe..6ceb9050c 100644 --- a/dotnet/xml/Microsoft.ML/MLContext.xml +++ b/dotnet/xml/Microsoft.ML/MLContext.xml @@ -1,8 +1,8 @@ - + - + diff --git a/dotnet/xml/Microsoft.ML/ModelOperationsCatalog.xml b/dotnet/xml/Microsoft.ML/ModelOperationsCatalog.xml index 49a58814e..236d28c3b 100644 --- a/dotnet/xml/Microsoft.ML/ModelOperationsCatalog.xml +++ b/dotnet/xml/Microsoft.ML/ModelOperationsCatalog.xml @@ -92,8 +92,8 @@ - - + + The class that defines the input data. diff --git a/dotnet/xml/Microsoft.ML/NormalizationCatalog.xml b/dotnet/xml/Microsoft.ML/NormalizationCatalog.xml index 0aaedfc92..e388d7ac8 100644 --- a/dotnet/xml/Microsoft.ML/NormalizationCatalog.xml +++ b/dotnet/xml/Microsoft.ML/NormalizationCatalog.xml @@ -199,11 +199,11 @@ Microsoft.ML.Transforms.NormalizingEstimator - - - - - + + + + + The transform catalog @@ -276,12 +276,12 @@ Microsoft.ML.Transforms.NormalizingEstimator - - - - - - + + + + + + The transform catalog @@ -522,12 +522,12 @@ Microsoft.ML.Transforms.NormalizingEstimator - - - - - - + + + + + + The transform catalog @@ -566,13 +566,13 @@ Microsoft.ML.Transforms.NormalizingEstimator - - - - - - - + + + + + + + The transform catalog diff --git a/dotnet/xml/Microsoft.ML/OnnxCatalog.xml b/dotnet/xml/Microsoft.ML/OnnxCatalog.xml index 29986e4e7..5ef6e6b67 100644 --- a/dotnet/xml/Microsoft.ML/OnnxCatalog.xml +++ b/dotnet/xml/Microsoft.ML/OnnxCatalog.xml @@ -32,8 +32,8 @@ Microsoft.ML.Transforms.Onnx.OnnxScoringEstimator - - + + The transform's catalog. @@ -108,11 +108,11 @@ Microsoft.ML.Transforms.Onnx.OnnxScoringEstimator - - - - - + + + + + The transform's catalog. @@ -242,13 +242,13 @@ Microsoft.ML.Transforms.Onnx.OnnxScoringEstimator - - - - - - - + + + + + + + The transform's catalog. @@ -292,13 +292,13 @@ Microsoft.ML.Transforms.Onnx.OnnxScoringEstimator - - - - - - - + + + + + + + The transform's catalog. @@ -337,14 +337,14 @@ Microsoft.ML.Transforms.Onnx.OnnxScoringEstimator - - - - - - - - + + + + + + + + The transform's catalog. diff --git a/dotnet/xml/Microsoft.ML/PermutationFeatureImportanceExtensions.xml b/dotnet/xml/Microsoft.ML/PermutationFeatureImportanceExtensions.xml index 8219a4330..a66eac2c5 100644 --- a/dotnet/xml/Microsoft.ML/PermutationFeatureImportanceExtensions.xml +++ b/dotnet/xml/Microsoft.ML/PermutationFeatureImportanceExtensions.xml @@ -36,13 +36,13 @@ System.Collections.Immutable.ImmutableDictionary<System.String,Microsoft.ML.Data.MulticlassClassificationMetricsStatistics> - - - - - - - + + + + + + + The multiclass classification catalog. @@ -100,13 +100,13 @@ System.Collections.Immutable.ImmutableDictionary<System.String,Microsoft.ML.Data.RegressionMetricsStatistics> - - - - - - - + + + + + + + The regression catalog. @@ -164,14 +164,14 @@ System.Collections.Immutable.ImmutableDictionary<System.String,Microsoft.ML.Data.RankingMetricsStatistics> - - - - - - - - + + + + + + + + The ranking catalog. @@ -520,13 +520,13 @@ System.Collections.Immutable.ImmutableDictionary<System.String,Microsoft.ML.Data.BinaryClassificationMetricsStatistics> - - - - - - - + + + + + + + The binary classification catalog. diff --git a/dotnet/xml/Microsoft.ML/PredictionEngineOptions.xml b/dotnet/xml/Microsoft.ML/PredictionEngineOptions.xml index cd58b83b3..0ee681693 100644 --- a/dotnet/xml/Microsoft.ML/PredictionEngineOptions.xml +++ b/dotnet/xml/Microsoft.ML/PredictionEngineOptions.xml @@ -45,12 +45,6 @@ Microsoft.ML.Data 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Whether to throw an error if a column exists in the output schema but not the output object.", ShortName="ignore", SortOrder=50)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Whether to throw an error if a column exists in the output schema but not the output object.", ShortName="ignore", SortOrder=50)>] - - System.Boolean @@ -70,12 +64,6 @@ Microsoft.ML.Data 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Additional settings of the input schema.", ShortName="input", SortOrder=50)] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Additional settings of the input schema.", ShortName="input", SortOrder=50)>] - - Microsoft.ML.Data.SchemaDefinition @@ -95,12 +83,6 @@ Microsoft.ML.Data 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Additional settings of the output schema.", ShortName="output")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Additional settings of the output schema.", ShortName="output")>] - - Microsoft.ML.Data.SchemaDefinition @@ -120,12 +102,6 @@ Microsoft.ML.Data 1.0.0.0 - - - [Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Whether the prediction engine owns the transformer and should dispose of it.", ShortName="own")] - [<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Whether the prediction engine owns the transformer and should dispose of it.", ShortName="own")>] - - System.Boolean diff --git a/dotnet/xml/Microsoft.ML/RankingCatalog.xml b/dotnet/xml/Microsoft.ML/RankingCatalog.xml index a08442c77..d88f9b9b5 100644 --- a/dotnet/xml/Microsoft.ML/RankingCatalog.xml +++ b/dotnet/xml/Microsoft.ML/RankingCatalog.xml @@ -35,12 +35,12 @@ System.Collections.Generic.IReadOnlyList<Microsoft.ML.TrainCatalogBase+CrossValidationResult<Microsoft.ML.Data.RankingMetrics>> - - - - - - + + + + + + The data to run cross-validation on. @@ -108,11 +108,11 @@ Microsoft.ML.Data.RankingMetrics - - - - - + + + + + The scored data. diff --git a/dotnet/xml/Microsoft.ML/StandardTrainersCatalog.xml b/dotnet/xml/Microsoft.ML/StandardTrainersCatalog.xml index 8204c3735..3698e5935 100644 --- a/dotnet/xml/Microsoft.ML/StandardTrainersCatalog.xml +++ b/dotnet/xml/Microsoft.ML/StandardTrainersCatalog.xml @@ -56,10 +56,10 @@ - + - + @@ -360,8 +360,8 @@ Microsoft.ML.Trainers.LdSvmTrainer - - + + The . @@ -393,14 +393,14 @@ Microsoft.ML.Trainers.LdSvmTrainer - - - - - - - - + + + + + + + + The . diff --git a/dotnet/xml/Microsoft.ML/TensorflowCatalog.xml b/dotnet/xml/Microsoft.ML/TensorflowCatalog.xml index cc34d788b..f9220d56c 100644 --- a/dotnet/xml/Microsoft.ML/TensorflowCatalog.xml +++ b/dotnet/xml/Microsoft.ML/TensorflowCatalog.xml @@ -123,9 +123,9 @@ Microsoft.ML.Transforms.TensorFlowModel - - - + + + The transform's catalog. diff --git a/dotnet/xml/Microsoft.ML/TextCatalog.xml b/dotnet/xml/Microsoft.ML/TextCatalog.xml index ac1492a57..4a3c328c1 100644 --- a/dotnet/xml/Microsoft.ML/TextCatalog.xml +++ b/dotnet/xml/Microsoft.ML/TextCatalog.xml @@ -566,6 +566,49 @@ + + + + + + + Method + + Microsoft.ML.Transforms + 1.0.0.0 + + + Microsoft.ML.Transforms.Text.WordBagEstimator + + + + + + + + + + + To be added. + To be added. + To be added. + The transform's catalog. + Name of the column resulting from the transformation of . + This column's data type will be known-size vector of . + Name of the column to take the data from. + Maximum number of n-grams to store in the dictionary.Separator used to separate terms/frequency pairs.Separator used to separate terms from their frequency. + This estimator operates over vector of text. + + Create a , which maps the column specified in + to a vector of n-gram counts in a new column named . + + To be added. + + is different from in that the former + tokenizes text internally and the latter takes tokenized text as input. + + + diff --git a/dotnet/xml/Microsoft.ML/TextLoaderSaverCatalog.xml b/dotnet/xml/Microsoft.ML/TextLoaderSaverCatalog.xml index 2de7b93f9..a8432912a 100644 --- a/dotnet/xml/Microsoft.ML/TextLoaderSaverCatalog.xml +++ b/dotnet/xml/Microsoft.ML/TextLoaderSaverCatalog.xml @@ -132,9 +132,9 @@ - - - + + + To be added. @@ -311,9 +311,9 @@ - - - + + + To be added. diff --git a/dotnet/xml/Microsoft.ML/TimeSeriesCatalog.xml b/dotnet/xml/Microsoft.ML/TimeSeriesCatalog.xml index 6626fe5fc..6490f7970 100644 --- a/dotnet/xml/Microsoft.ML/TimeSeriesCatalog.xml +++ b/dotnet/xml/Microsoft.ML/TimeSeriesCatalog.xml @@ -18,11 +18,11 @@ - - + + - - + + @@ -42,7 +42,7 @@ - + @@ -86,16 +86,16 @@ Microsoft.ML.Transforms.TimeSeries.SsaChangePointEstimator - - - - - - - - - - + + + + + + + + + + The transform's catalog. @@ -135,7 +135,7 @@ 1.0.0.0 - + [System.Obsolete("This API method is deprecated, please use the overload with confidence parameter of type double.")] [<System.Obsolete("This API method is deprecated, please use the overload with confidence parameter of type double.")>] @@ -196,11 +196,11 @@ Microsoft.ML.IDataView - - - - - + + + + + The AnomalyDetectionCatalog. @@ -236,14 +236,14 @@ Microsoft.ML.IDataView - - - - - - - - + + + + + + + + The AnomalyDetectionCatalog. @@ -289,13 +289,13 @@ Microsoft.ML.Transforms.TimeSeries.IidChangePointEstimator - - - - - - - + + + + + + + The transform's catalog. @@ -332,7 +332,7 @@ 1.0.0.0 - + [System.Obsolete("This API method is deprecated, please use the overload with confidence parameter of type double.")] [<System.Obsolete("This API method is deprecated, please use the overload with confidence parameter of type double.")>] @@ -387,12 +387,12 @@ Microsoft.ML.Transforms.TimeSeries.IidSpikeEstimator - - - - - - + + + + + + The transform's catalog. @@ -429,7 +429,7 @@ 1.0.0.0 - + [System.Obsolete("This API method is deprecated, please use the overload with confidence parameter of type double.")] [<System.Obsolete("This API method is deprecated, please use the overload with confidence parameter of type double.")>] @@ -483,11 +483,11 @@ System.Int32 - - - - - + + + + + The detect seasonality catalog. @@ -540,15 +540,15 @@ Microsoft.ML.Transforms.TimeSeries.SsaSpikeEstimator - - - - - - - - - + + + + + + + + + The transform's catalog. @@ -587,7 +587,7 @@ 1.0.0.0 - + [System.Obsolete("This API method is deprecated, please use the overload with confidence parameter of type double.")] [<System.Obsolete("This API method is deprecated, please use the overload with confidence parameter of type double.")>] @@ -717,10 +717,10 @@ Microsoft.ML.TimeSeries.RootCause - - - - + + + + The anomaly detection catalog. @@ -758,10 +758,10 @@ System.Collections.Generic.List<Microsoft.ML.TimeSeries.RootCause> - - - - + + + + The anomaly detection catalog. diff --git a/dotnet/xml/Microsoft.ML/TreeExtensions.xml b/dotnet/xml/Microsoft.ML/TreeExtensions.xml index bf2d977df..63428c602 100644 --- a/dotnet/xml/Microsoft.ML/TreeExtensions.xml +++ b/dotnet/xml/Microsoft.ML/TreeExtensions.xml @@ -502,8 +502,8 @@ Microsoft.ML.Trainers.FastTree.FastForestBinaryFeaturizationEstimator - - + + The context to create . @@ -536,8 +536,8 @@ Microsoft.ML.Trainers.FastTree.FastForestRegressionFeaturizationEstimator - - + + The context to create . @@ -570,8 +570,8 @@ Microsoft.ML.Trainers.FastTree.FastTreeBinaryFeaturizationEstimator - - + + The context to create . @@ -604,8 +604,8 @@ Microsoft.ML.Trainers.FastTree.FastTreeRankingFeaturizationEstimator - - + + The context to create . @@ -638,8 +638,8 @@ Microsoft.ML.Trainers.FastTree.FastTreeRegressionFeaturizationEstimator - - + + The context to create . @@ -672,8 +672,8 @@ Microsoft.ML.Trainers.FastTree.FastTreeTweedieFeaturizationEstimator - - + + The context to create . @@ -706,8 +706,8 @@ Microsoft.ML.Trainers.FastTree.PretrainedTreeFeaturizationEstimator - - + + The context to create . diff --git a/dotnet/xml/PackageInformation/ml-dotnet-2.0.0.json b/dotnet/xml/PackageInformation/ml-dotnet-2.0.0.json new file mode 100644 index 000000000..27bda2628 --- /dev/null +++ b/dotnet/xml/PackageInformation/ml-dotnet-2.0.0.json @@ -0,0 +1 @@ +{"ml-dotnet-2.0.0":{"Microsoft.ML.Core":{"Name":"Microsoft.ML","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Data":{"Name":"Microsoft.ML","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML":{"Name":"Microsoft.ML","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.KMeansClustering":{"Name":"Microsoft.ML","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.PCA":{"Name":"Microsoft.ML","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.StandardTrainers":{"Name":"Microsoft.ML","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Transforms":{"Name":"Microsoft.ML","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.CpuMath":{"Name":"Microsoft.ML.CpuMath","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.DataView":{"Name":"Microsoft.ML.DataView","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.Extensions.ML":{"Name":"Microsoft.Extensions.ML","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.FastTree":{"Name":"Microsoft.ML.FastTree","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.ImageAnalytics":{"Name":"Microsoft.ML.ImageAnalytics","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.LightGbm":{"Name":"Microsoft.ML.LightGbm","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Mkl.Components":{"Name":"Microsoft.ML.Mkl.Components","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.OnnxTransformer":{"Name":"Microsoft.ML.OnnxTransformer","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.TensorFlow":{"Name":"Microsoft.ML.TensorFlow","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.TimeSeries":{"Name":"Microsoft.ML.TimeSeries","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Vision":{"Name":"Microsoft.ML.Vision","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"}}} \ No newline at end of file diff --git a/dotnet/xml/PackageInformation/ml-dotnet-preview.json b/dotnet/xml/PackageInformation/ml-dotnet-preview.json index de7a9c98b..c0d5f178e 100644 --- a/dotnet/xml/PackageInformation/ml-dotnet-preview.json +++ b/dotnet/xml/PackageInformation/ml-dotnet-preview.json @@ -1 +1 @@ -{"ml-dotnet-preview":{"Microsoft.ML.AutoML":{"Name":"Microsoft.ML.AutoML","Version":"0.20.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.SearchSpace":{"Name":"Microsoft.ML.AutoML","Version":"0.20.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.CodeGenerator":{"Name":"Microsoft.ML.CodeGenerator","Version":"0.20.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.DnnImageFeaturizer.AlexNet":{"Name":"Microsoft.ML.DnnImageFeaturizer.AlexNet","Version":"0.20.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.DnnImageFeaturizer.ResNet101":{"Name":"Microsoft.ML.DnnImageFeaturizer.ResNet101","Version":"0.20.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.DnnImageFeaturizer.ResNet18":{"Name":"Microsoft.ML.DnnImageFeaturizer.ResNet18","Version":"0.20.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.DnnImageFeaturizer.ResNet50":{"Name":"Microsoft.ML.DnnImageFeaturizer.ResNet50","Version":"0.20.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Ensemble":{"Name":"Microsoft.ML.Ensemble","Version":"0.20.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.EntryPoints":{"Name":"Microsoft.ML.EntryPoints","Version":"0.20.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Experimental":{"Name":"Microsoft.ML.Experimental","Version":"0.20.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.OnnxConverter":{"Name":"Microsoft.ML.OnnxConverter","Version":"0.20.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Parquet":{"Name":"Microsoft.ML.Parquet","Version":"0.20.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Recommender":{"Name":"Microsoft.ML.Recommender","Version":"0.20.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.SamplesUtils":{"Name":"Microsoft.ML.SampleUtils","Version":"0.20.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Tokenizers":{"Name":"Microsoft.ML.Tokenizers","Version":"0.20.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.TorchSharp":{"Name":"Microsoft.ML.TorchSharp","Version":"0.20.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.Data.Analysis":{"Name":"Microsoft.Data.Analysis","Version":"0.20.0","Feed":"https://api.nuget.org/v3/index.json"}}} \ No newline at end of file +{"ml-dotnet-preview":{"Microsoft.ML.AutoML":{"Name":"Microsoft.ML.AutoML","Version":"0.21.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.SearchSpace":{"Name":"Microsoft.ML.AutoML","Version":"0.21.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.CodeGenerator":{"Name":"Microsoft.ML.CodeGenerator","Version":"0.21.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.DnnImageFeaturizer.AlexNet":{"Name":"Microsoft.ML.DnnImageFeaturizer.AlexNet","Version":"0.21.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.DnnImageFeaturizer.ResNet101":{"Name":"Microsoft.ML.DnnImageFeaturizer.ResNet101","Version":"0.21.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.DnnImageFeaturizer.ResNet18":{"Name":"Microsoft.ML.DnnImageFeaturizer.ResNet18","Version":"0.21.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.DnnImageFeaturizer.ResNet50":{"Name":"Microsoft.ML.DnnImageFeaturizer.ResNet50","Version":"0.21.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Ensemble":{"Name":"Microsoft.ML.Ensemble","Version":"0.21.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.EntryPoints":{"Name":"Microsoft.ML.EntryPoints","Version":"0.21.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Experimental":{"Name":"Microsoft.ML.Experimental","Version":"0.21.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.OnnxConverter":{"Name":"Microsoft.ML.OnnxConverter","Version":"0.21.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Parquet":{"Name":"Microsoft.ML.Parquet","Version":"0.21.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Recommender":{"Name":"Microsoft.ML.Recommender","Version":"0.21.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.SamplesUtils":{"Name":"Microsoft.ML.SampleUtils","Version":"0.21.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Tokenizers":{"Name":"Microsoft.ML.Tokenizers","Version":"0.21.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.TorchSharp":{"Name":"Microsoft.ML.TorchSharp","Version":"0.21.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.Data.Analysis":{"Name":"Microsoft.Data.Analysis","Version":"0.21.1","Feed":"https://api.nuget.org/v3/index.json"}}} \ No newline at end of file diff --git a/dotnet/xml/PackageInformation/ml-dotnet.json b/dotnet/xml/PackageInformation/ml-dotnet.json index bd7958244..65ee07dc2 100644 --- a/dotnet/xml/PackageInformation/ml-dotnet.json +++ b/dotnet/xml/PackageInformation/ml-dotnet.json @@ -1 +1 @@ -{"ml-dotnet":{"Microsoft.ML.Core":{"Name":"Microsoft.ML","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Data":{"Name":"Microsoft.ML","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML":{"Name":"Microsoft.ML","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.KMeansClustering":{"Name":"Microsoft.ML","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.PCA":{"Name":"Microsoft.ML","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.StandardTrainers":{"Name":"Microsoft.ML","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Transforms":{"Name":"Microsoft.ML","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.CpuMath":{"Name":"Microsoft.ML.CpuMath","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.DataView":{"Name":"Microsoft.ML.DataView","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.Extensions.ML":{"Name":"Microsoft.Extensions.ML","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.FastTree":{"Name":"Microsoft.ML.FastTree","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.ImageAnalytics":{"Name":"Microsoft.ML.ImageAnalytics","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Mkl.Components":{"Name":"Microsoft.ML.Mkl.Components","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.OnnxTransformer":{"Name":"Microsoft.ML.OnnxTransformer","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.TensorFlow":{"Name":"Microsoft.ML.TensorFlow","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.TimeSeries":{"Name":"Microsoft.ML.TimeSeries","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Vision":{"Name":"Microsoft.ML.Vision","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"}}} \ No newline at end of file +{"ml-dotnet":{"Microsoft.ML.Core":{"Name":"Microsoft.ML","Version":"3.0.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Data":{"Name":"Microsoft.ML","Version":"3.0.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML":{"Name":"Microsoft.ML","Version":"3.0.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.KMeansClustering":{"Name":"Microsoft.ML","Version":"3.0.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.PCA":{"Name":"Microsoft.ML","Version":"3.0.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.StandardTrainers":{"Name":"Microsoft.ML","Version":"3.0.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Transforms":{"Name":"Microsoft.ML","Version":"3.0.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.CpuMath":{"Name":"Microsoft.ML.CpuMath","Version":"3.0.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.DataView":{"Name":"Microsoft.ML.DataView","Version":"3.0.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.Extensions.ML":{"Name":"Microsoft.Extensions.ML","Version":"3.0.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.FastTree":{"Name":"Microsoft.ML.FastTree","Version":"3.0.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.ImageAnalytics":{"Name":"Microsoft.ML.ImageAnalytics","Version":"3.0.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.LightGbm":{"Name":"Microsoft.ML.LightGbm","Version":"3.0.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Mkl.Components":{"Name":"Microsoft.ML.Mkl.Components","Version":"3.0.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.OnnxTransformer":{"Name":"Microsoft.ML.OnnxTransformer","Version":"3.0.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.TensorFlow":{"Name":"Microsoft.ML.TensorFlow","Version":"3.0.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.TimeSeries":{"Name":"Microsoft.ML.TimeSeries","Version":"3.0.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Vision":{"Name":"Microsoft.ML.Vision","Version":"3.0.1","Feed":"https://api.nuget.org/v3/index.json"}}} \ No newline at end of file diff --git a/dotnet/xml/ns-Microsoft.ML.TorchSharp.AutoFormerV2.xml b/dotnet/xml/ns-Microsoft.ML.TorchSharp.AutoFormerV2.xml new file mode 100644 index 000000000..f8df074e4 --- /dev/null +++ b/dotnet/xml/ns-Microsoft.ML.TorchSharp.AutoFormerV2.xml @@ -0,0 +1,6 @@ + + + To be added. + To be added. + + diff --git a/dotnet/xml/ns-Microsoft.ML.TorchSharp.Loss.xml b/dotnet/xml/ns-Microsoft.ML.TorchSharp.Loss.xml new file mode 100644 index 000000000..f237952f5 --- /dev/null +++ b/dotnet/xml/ns-Microsoft.ML.TorchSharp.Loss.xml @@ -0,0 +1,6 @@ + + + To be added. + To be added. + + diff --git a/dotnet/xml/ns-Microsoft.ML.TorchSharp.NasBert.Models.xml b/dotnet/xml/ns-Microsoft.ML.TorchSharp.NasBert.Models.xml new file mode 100644 index 000000000..a92fb8b60 --- /dev/null +++ b/dotnet/xml/ns-Microsoft.ML.TorchSharp.NasBert.Models.xml @@ -0,0 +1,6 @@ + + + To be added. + To be added. + + diff --git a/dotnet/xml/ns-Microsoft.ML.TorchSharp.Roberta.xml b/dotnet/xml/ns-Microsoft.ML.TorchSharp.Roberta.xml new file mode 100644 index 000000000..ed2f43d91 --- /dev/null +++ b/dotnet/xml/ns-Microsoft.ML.TorchSharp.Roberta.xml @@ -0,0 +1,6 @@ + + + To be added. + To be added. + + From 5817a2bd9ca5ec24b0de3d5c07c0668be7e6f61e Mon Sep 17 00:00:00 2001 From: Rachel Price <52579263+raprice@users.noreply.github.com> Date: Mon, 26 Feb 2024 14:26:54 -0800 Subject: [PATCH 03/12] Troubleshoot breadcrumb path --- dotnet/docfx.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/dotnet/docfx.json b/dotnet/docfx.json index 8bd55514b..fa5452755 100644 --- a/dotnet/docfx.json +++ b/dotnet/docfx.json @@ -53,7 +53,7 @@ "globalMetadata": { "ms.service": "dotnet-ml-api", "defaultDevLang": "csharp", - "breadcrumb_path": "/dotnet/roslyn_dotnet_toc/breadcrumb/toc.json", + "breadcrumb_path": "/dotnet/ml_dotnet_toc/breadcrumb/toc.json", "apiPlatform": "dotnet", "author": "natke", "ms.author": "nakersha", From 3347ed5fa5e7fba1e72a36b37cdce5893d0502ba Mon Sep 17 00:00:00 2001 From: VSC-Service-Account Date: Fri, 15 Mar 2024 23:19:54 +0000 Subject: [PATCH 04/12] CI Update Build.Reason:Manual by Alma Jenks Build.Url:https://apidrop.visualstudio.com/Content%20CI/_build/results?buildId=418631&view=results source_repo.branch:master source_repo.csvPath:bundlepackages/ml-dotnet source_repo.url:https://apidrop.visualstudio.com/binaries/_git/mrefconfig --- .../xml/FrameworksIndex/ml-dotnet-2.0.0.xml | 6829 ++++++++++++++++ .../xml/FrameworksIndex/ml-dotnet-preview.xml | 3351 +++++++- dotnet/xml/FrameworksIndex/ml-dotnet.xml | 7174 +++++++++++++++++ .../BooleanDataFrameColumn.xml | 4 +- .../ByteDataFrameColumn.xml | 4 +- .../CharDataFrameColumn.xml | 4 +- .../xml/Microsoft.Data.Analysis/DataFrame.xml | 294 +- .../DataFrameColumn.xml | 10 +- .../DataFrameColumnCollection.xml | 8 +- .../Microsoft.Data.Analysis/DataFrameRow.xml | 2 +- .../DateTimeDataFrameColumn.xml | 4 +- .../DecimalDataFrameColumn.xml | 4 +- .../DoubleDataFrameColumn.xml | 4 +- .../Int16DataFrameColumn.xml | 4 +- .../Int32DataFrameColumn.xml | 4 +- .../Int64DataFrameColumn.xml | 4 +- .../PrimitiveDataFrameColumn`1.xml | 110 +- .../SByteDataFrameColumn.xml | 4 +- .../SingleDataFrameColumn.xml | 4 +- .../StringDataFrameColumn.xml | 10 +- .../UInt16DataFrameColumn.xml | 4 +- .../UInt32DataFrameColumn.xml | 4 +- .../UInt64DataFrameColumn.xml | 4 +- .../ServiceCollectionExtensions.xml | 6 +- .../ConvertTypeOption.xml | 40 + .../EstimatorType.xml | 237 +- .../MapValueToKeyOption.xml | 20 + .../NamedEntityRecognitionOption.xml | 157 + .../NormalizeTextOption.xml | 157 + .../xml/Microsoft.ML.AutoML/AutoCatalog.xml | 220 +- .../AutoMLExperimentExtension.xml | 78 +- .../Microsoft.ML.AutoML/IDatasetManager.xml | 3 +- .../IEvaluateMetricManager.xml | 3 +- .../Microsoft.ML.AutoML/IMetricManager.xml | 3 +- dotnet/xml/Microsoft.ML.AutoML/IMonitor.xml | 19 +- dotnet/xml/Microsoft.ML.AutoML/ISweepable.xml | 3 +- .../xml/Microsoft.ML.AutoML/ISweepable`1.xml | 3 +- .../xml/Microsoft.ML.AutoML/ITrialRunner.xml | 3 +- dotnet/xml/Microsoft.ML.AutoML/ITuner.xml | 3 +- .../Microsoft.ML.Calibrators/ICalibrator.xml | 2 +- .../IWritable.xml | 3 +- .../ICSharpFile.xml | 3 +- .../CompositeDataLoader`2.xml | 10 +- .../Microsoft.ML.Data/DataViewTypeManager.xml | 16 +- .../xml/Microsoft.ML.Data/DatabaseSource.xml | 8 +- dotnet/xml/Microsoft.ML.Data/IFileHandle.xml | 2 +- .../Microsoft.ML.Data/IMultiStreamSource.xml | 2 +- .../xml/Microsoft.ML.Data/IRowToRowMapper.xml | 2 +- .../PredictionTransformerBase`1.xml | 10 +- .../SvmLightLoaderSaverCatalog.xml | 4 +- .../Microsoft.ML.Data/TransformerChain`1.xml | 18 +- .../xml/Microsoft.ML.Data/VBufferEditor.xml | 4 +- dotnet/xml/Microsoft.ML.Data/VBuffer`1.xml | 10 +- dotnet/xml/Microsoft.ML.Runtime/IChannel.xml | 2 +- .../Microsoft.ML.Runtime/IChannelProvider.xml | 2 +- .../IComponentFactory.xml | 2 +- .../IComponentFactory`1.xml | 2 +- .../IComponentFactory`2.xml | 2 +- .../IComponentFactory`3.xml | 2 +- .../IComponentFactory`4.xml | 2 +- .../IExceptionContext.xml | 2 +- dotnet/xml/Microsoft.ML.Runtime/IHost.xml | 2 +- .../Microsoft.ML.Runtime/IHostEnvironment.xml | 2 +- dotnet/xml/Microsoft.ML.Runtime/IPipe`1.xml | 2 +- .../Microsoft.ML.Runtime/IProgressChannel.xml | 2 +- .../IProgressChannelProvider.xml | 2 +- .../Microsoft.ML.Runtime/IProgressEntry.xml | 2 +- .../ChoiceOption.xml | 2 +- .../NestOption.xml | 573 ++ .../OptionBase.xml | 2 +- .../SearchSpace.xml | 25 +- .../UniformNumericOption.xml | 2 +- .../BooleanChoiceAttribute.xml | 2 +- .../ChoiceAttribute.xml | 2 +- .../NestOptionAttribute.xml | 2 +- .../Microsoft.ML.SearchSpace/Parameter.xml | 7 +- .../RangeAttribute.xml | 2 +- .../Microsoft.ML.SearchSpace/SearchSpace.xml | 9 +- .../SearchSpace`1.xml | 5 + dotnet/xml/Microsoft.ML.Tokenizers/Bpe.xml | 293 +- .../EncodingResult.xml | 191 + .../EnglishRoberta.xml | 381 +- .../LowerCaseNormalizer.xml | 15 +- dotnet/xml/Microsoft.ML.Tokenizers/Model.xml | 195 +- .../Microsoft.ML.Tokenizers/Normalizer.xml | 17 +- .../Microsoft.ML.Tokenizers/PreTokenizer.xml | 30 +- .../RobertaPreTokenizer.xml | 52 +- dotnet/xml/Microsoft.ML.Tokenizers/Split.xml | 109 +- .../TikTokenPreTokenizer.xml | 76 + .../xml/Microsoft.ML.Tokenizers/Tiktoken.xml | 508 ++ dotnet/xml/Microsoft.ML.Tokenizers/Token.xml | 30 +- .../xml/Microsoft.ML.Tokenizers/Tokenizer.xml | 279 +- .../UpperCaseNormalizer.xml | 15 +- .../Microsoft.ML.Tokenizers/WhiteSpace.xml | 52 +- .../IIncrementalState.xml | 3 +- .../BertTaskType.xml | 4 +- .../NasBertTrainer.xml | 78 +- .../NasBertTrainer`2.xml | 37 +- .../NasBertTransformer.xml | 20 + .../NasBertTransformer`2.xml | 56 +- .../QATrainer+Options.xml | 2 +- .../TorchSharpCatalog.xml | 118 +- .../FastForestBinaryTrainer.xml | 2 +- .../FastForestRegressionTrainer.xml | 2 +- .../FastTreeBinaryTrainer.xml | 2 +- .../FastTreeRankingTrainer.xml | 2 +- .../FastTreeRegressionTrainer.xml | 2 +- .../FastTreeTweedieTrainer.xml | 2 +- .../GamBinaryTrainer.xml | 2 +- .../GamRegressionTrainer.xml | 2 +- .../LightGbmBinaryTrainer.xml | 2 +- .../LightGbmMulticlassTrainer.xml | 2 +- .../LightGbmRankingTrainer.xml | 2 +- .../LightGbmRegressionTrainer.xml | 2 +- .../AveragedLinearOptions.xml | 6 +- .../AveragedPerceptronTrainer.xml | 2 +- .../FieldAwareFactorizationMachineTrainer.xml | 2 +- .../ICalculateFeatureContribution.xml | 2 +- .../IClassificationLoss.xml | 2 +- .../Microsoft.ML.Trainers/ILossFunction`2.xml | 2 +- .../Microsoft.ML.Trainers/IRegressionLoss.xml | 2 +- .../xml/Microsoft.ML.Trainers/IScalarLoss.xml | 2 +- .../ISupportSdcaClassificationLoss.xml | 2 +- .../ISupportSdcaLoss.xml | 2 +- .../ISupportSdcaRegressionLoss.xml | 2 +- .../ITrainerEstimator`2.xml | 8 +- .../LbfgsLogisticRegressionBinaryTrainer.xml | 2 +- .../LbfgsMaximumEntropyMulticlassTrainer.xml | 2 +- .../LbfgsPoissonRegressionTrainer.xml | 2 +- .../LbfgsTrainerBase`3+OptionsBase.xml | 16 +- .../LdSvmTrainer+Options.xml | 14 +- .../Microsoft.ML.Trainers/LdSvmTrainer.xml | 2 +- .../LinearSvmTrainer+Options.xml | 8 +- .../LinearSvmTrainer.xml | 2 +- .../MatrixFactorizationTrainer.xml | 2 +- .../NaiveBayesMulticlassModelParameters.xml | 4 +- .../xml/Microsoft.ML.Trainers/OlsTrainer.xml | 2 +- .../OnlineGradientDescentTrainer.xml | 2 +- .../OnlineLinearOptions.xml | 4 +- .../RandomizedPcaTrainer.xml | 2 +- .../SdcaLogisticRegressionBinaryTrainer.xml | 2 +- .../SdcaMaximumEntropyMulticlassTrainer.xml | 2 +- .../SdcaMulticlassTrainerBase`1.xml | 2 +- .../SdcaNonCalibratedBinaryTrainer.xml | 2 +- .../SdcaNonCalibratedMulticlassTrainer.xml | 2 +- .../SdcaRegressionTrainer.xml | 2 +- .../SdcaTrainerBase`3+OptionsBase.xml | 10 +- .../SgdBinaryTrainerBase`1+OptionsBase.xml | 8 +- .../SgdCalibratedTrainer.xml | 2 +- .../SgdNonCalibratedTrainer.xml | 2 +- ...olicSgdLogisticRegressionBinaryTrainer.xml | 2 +- .../OnnxSequenceTypeAttribute.xml | 4 +- .../OnnxTransformer.xml | 10 +- .../IStopWordsRemoverOptions.xml | 2 +- .../LatentDirichletAllocationTransformer.xml | 14 +- .../TextFeaturizingEstimator.xml | 2 +- .../WordBagEstimator.xml | 2 +- .../WordEmbeddingEstimator.xml | 2 +- .../WordHashBagEstimator.xml | 2 +- .../PredictionFunctionExtensions.xml | 6 +- .../ColumnSelectingEstimator.xml | 2 +- .../CountFeatureSelectingEstimator.xml | 2 +- ...eatureContributionCalculatingEstimator.xml | 2 +- .../HashingEstimator.xml | 2 +- .../IFunctionProvider.xml | 2 +- .../KeyToValueMappingEstimator.xml | 2 +- .../KeyToVectorMappingEstimator.xml | 2 +- .../MissingValueIndicatorEstimator.xml | 2 +- .../MissingValueReplacingEstimator.xml | 2 +- ...alInformationFeatureSelectingEstimator.xml | 2 +- .../OneHotEncodingEstimator.xml | 2 +- .../OneHotHashEncodingEstimator.xml | 2 +- .../TensorFlowModel.xml | 14 +- .../TensorFlowTransformer.xml | 10 +- .../TypeConvertingEstimator.xml | 2 +- .../ValueToKeyMappingEstimator.xml | 2 +- .../ImageClassificationModelParameters.xml | 10 +- .../Microsoft.ML/AnomalyDetectionCatalog.xml | 4 +- dotnet/xml/Microsoft.ML/ClusteringCatalog.xml | 2 +- .../ConversionsExtensionsCatalog.xml | 18 +- .../xml/Microsoft.ML/CustomMappingCatalog.xml | 24 +- .../FactorizationMachineExtensions.xml | 4 +- dotnet/xml/Microsoft.ML/ICanSaveModel.xml | 2 +- .../Microsoft.ML/IDataLoaderEstimator`2.xml | 2 +- dotnet/xml/Microsoft.ML/IDataLoader`1.xml | 2 +- dotnet/xml/Microsoft.ML/IDataView.xml | 2 +- dotnet/xml/Microsoft.ML/IEstimator`1.xml | 2 +- .../Microsoft.ML/IPredictionTransformer`1.xml | 2 +- .../ISingleFeaturePredictionTransformer`1.xml | 2 +- dotnet/xml/Microsoft.ML/ITransformer.xml | 2 +- .../Microsoft.ML/ImageEstimatorsCatalog.xml | 16 +- .../xml/Microsoft.ML/LightGbmExtensions.xml | 24 +- dotnet/xml/Microsoft.ML/LoggingEventArgs.xml | 6 +- dotnet/xml/Microsoft.ML/MLContext.xml | 4 +- .../Microsoft.ML/ModelOperationsCatalog.xml | 4 +- .../xml/Microsoft.ML/NormalizationCatalog.xml | 48 +- dotnet/xml/Microsoft.ML/OnnxCatalog.xml | 58 +- ...PermutationFeatureImportanceExtensions.xml | 58 +- dotnet/xml/Microsoft.ML/RankingCatalog.xml | 22 +- .../Microsoft.ML/StandardTrainersCatalog.xml | 36 +- dotnet/xml/Microsoft.ML/TensorflowCatalog.xml | 6 +- dotnet/xml/Microsoft.ML/TextCatalog.xml | 14 +- .../Microsoft.ML/TextLoaderSaverCatalog.xml | 12 +- dotnet/xml/Microsoft.ML/TimeSeriesCatalog.xml | 140 +- dotnet/xml/Microsoft.ML/TreeExtensions.xml | 38 +- .../PackageInformation/ml-dotnet-2.0.0.json | 2 +- .../PackageInformation/ml-dotnet-preview.json | 2 +- dotnet/xml/PackageInformation/ml-dotnet.json | 2 +- 208 files changed, 21842 insertions(+), 1097 deletions(-) create mode 100644 dotnet/xml/Microsoft.ML.AutoML.CodeGen/NamedEntityRecognitionOption.xml create mode 100644 dotnet/xml/Microsoft.ML.AutoML.CodeGen/NormalizeTextOption.xml create mode 100644 dotnet/xml/Microsoft.ML.SearchSpace.Option/NestOption.xml create mode 100644 dotnet/xml/Microsoft.ML.Tokenizers/EncodingResult.xml create mode 100644 dotnet/xml/Microsoft.ML.Tokenizers/TikTokenPreTokenizer.xml create mode 100644 dotnet/xml/Microsoft.ML.Tokenizers/Tiktoken.xml create mode 100644 dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NasBertTransformer.xml diff --git a/dotnet/xml/FrameworksIndex/ml-dotnet-2.0.0.xml b/dotnet/xml/FrameworksIndex/ml-dotnet-2.0.0.xml index 7deae98ad..8a7bf748f 100644 --- a/dotnet/xml/FrameworksIndex/ml-dotnet-2.0.0.xml +++ b/dotnet/xml/FrameworksIndex/ml-dotnet-2.0.0.xml @@ -1,25 +1,5725 @@  + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 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a/dotnet/xml/Microsoft.Data.Analysis/BooleanDataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/BooleanDataFrameColumn.xml @@ -181,8 +181,8 @@ Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Boolean> - - + + To be added. diff --git a/dotnet/xml/Microsoft.Data.Analysis/ByteDataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/ByteDataFrameColumn.xml index 6bbf9410a..c0da82d44 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/ByteDataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/ByteDataFrameColumn.xml @@ -657,8 +657,8 @@ Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Byte> - - + + To be added. diff --git a/dotnet/xml/Microsoft.Data.Analysis/CharDataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/CharDataFrameColumn.xml index 574b1ed78..2a74afccb 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/CharDataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/CharDataFrameColumn.xml @@ -129,8 +129,8 @@ Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Char> - - + + To be added. diff --git a/dotnet/xml/Microsoft.Data.Analysis/DataFrame.xml b/dotnet/xml/Microsoft.Data.Analysis/DataFrame.xml index 87319b693..34880d0b6 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/DataFrame.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/DataFrame.xml @@ -256,6 +256,84 @@ To be added. + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.DataFrame + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.DataFrame + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.DataFrame + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + + @@ -271,9 +349,9 @@ Microsoft.Data.Analysis.DataFrame - - - + + + The rows to be appended to this DataFrame @@ -303,9 +381,9 @@ Microsoft.Data.Analysis.DataFrame - - - + + + An enumeration of column name and value to be appended @@ -332,9 +410,9 @@ Microsoft.Data.Analysis.DataFrame - - - + + + @@ -1143,7 +1221,7 @@ Microsoft.Data.Analysis.DataFrame - + To be added. @@ -1521,6 +1599,86 @@ To be added. + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.DataFrame + + + + + + + + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.DataFrame + + + + + + + + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + + @@ -1536,17 +1694,17 @@ Microsoft.Data.Analysis.DataFrame - - - - - - - - - - - + + + + + + + + + + + stream of CSV data to be read in @@ -1584,17 +1742,17 @@ Microsoft.Data.Analysis.DataFrame - - - - - - - - - - - + + + + + + + + + + + filename @@ -1615,6 +1773,44 @@ To be added. + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.DataFrame + + + + + + + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + + @@ -1630,16 +1826,16 @@ Microsoft.Data.Analysis.DataFrame - - - - - - - - - - + + + + + + + + + + csv data passed in as a string @@ -1676,7 +1872,7 @@ System.Threading.Tasks.Task<Microsoft.Data.Analysis.DataFrame> - + To be added. @@ -1700,7 +1896,7 @@ System.Threading.Tasks.Task<Microsoft.Data.Analysis.DataFrame> - + To be added. @@ -1724,8 +1920,8 @@ Microsoft.Data.Analysis.DataFrame - - + + To be added. @@ -5543,7 +5739,7 @@ System.Void - + To be added. @@ -5566,8 +5762,8 @@ System.Void - - + + To be added. diff --git a/dotnet/xml/Microsoft.Data.Analysis/DataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/DataFrameColumn.xml index 838dc66aa..fed0d24e4 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/DataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/DataFrameColumn.xml @@ -5842,7 +5842,7 @@ System.Void - + The new name. @@ -5853,18 +5853,20 @@ - + - + + + Method Microsoft.Data.Analysis 1.0.0.0 - + [System.Obsolete] [<System.Obsolete>] diff --git a/dotnet/xml/Microsoft.Data.Analysis/DataFrameColumnCollection.xml b/dotnet/xml/Microsoft.Data.Analysis/DataFrameColumnCollection.xml index 77d18aeb4..ec789e932 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/DataFrameColumnCollection.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/DataFrameColumnCollection.xml @@ -169,7 +169,7 @@ Microsoft.Data.Analysis.DateTimeDataFrameColumn - + The name of the column @@ -703,8 +703,8 @@ System.Void - - + + To be added. @@ -725,7 +725,7 @@ 1.0.0.0 - + [System.Obsolete] [<System.Obsolete>] diff --git a/dotnet/xml/Microsoft.Data.Analysis/DataFrameRow.xml b/dotnet/xml/Microsoft.Data.Analysis/DataFrameRow.xml index 9324b1361..9e4d34973 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/DataFrameRow.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/DataFrameRow.xml @@ -120,7 +120,7 @@ System.Object - + The name of the column that corresponds to the return value diff --git a/dotnet/xml/Microsoft.Data.Analysis/DateTimeDataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/DateTimeDataFrameColumn.xml index 7b19e16c4..34ef71ef8 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/DateTimeDataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/DateTimeDataFrameColumn.xml @@ -129,8 +129,8 @@ Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.DateTime> - - + + To be added. diff --git a/dotnet/xml/Microsoft.Data.Analysis/DecimalDataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/DecimalDataFrameColumn.xml index 72311d4fd..ae53ff5b9 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/DecimalDataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/DecimalDataFrameColumn.xml @@ -597,8 +597,8 @@ Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Decimal> - - + + To be added. diff --git a/dotnet/xml/Microsoft.Data.Analysis/DoubleDataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/DoubleDataFrameColumn.xml index 17422aa22..05c66361d 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/DoubleDataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/DoubleDataFrameColumn.xml @@ -649,8 +649,8 @@ Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Double> - - + + To be added. diff --git a/dotnet/xml/Microsoft.Data.Analysis/Int16DataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/Int16DataFrameColumn.xml index 60fd363a9..4476a9838 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/Int16DataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/Int16DataFrameColumn.xml @@ -657,8 +657,8 @@ Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Int16> - - + + To be added. diff --git a/dotnet/xml/Microsoft.Data.Analysis/Int32DataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/Int32DataFrameColumn.xml index 45a508360..a06bb118b 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/Int32DataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/Int32DataFrameColumn.xml @@ -677,8 +677,8 @@ Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Int32> - - + + To be added. diff --git a/dotnet/xml/Microsoft.Data.Analysis/Int64DataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/Int64DataFrameColumn.xml index db62f0cdd..4f620775a 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/Int64DataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/Int64DataFrameColumn.xml @@ -637,8 +637,8 @@ Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Int64> - - + + To be added. diff --git a/dotnet/xml/Microsoft.Data.Analysis/PrimitiveDataFrameColumn`1.xml b/dotnet/xml/Microsoft.Data.Analysis/PrimitiveDataFrameColumn`1.xml index 2fa9eaa65..f9ae0cc7b 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/PrimitiveDataFrameColumn`1.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/PrimitiveDataFrameColumn`1.xml @@ -543,7 +543,7 @@ Microsoft.Data.Analysis.PrimitiveDataFrameColumn<T> - + To be added. @@ -702,8 +702,8 @@ Microsoft.Data.Analysis.PrimitiveDataFrameColumn<T> - - + + To be added. @@ -1630,10 +1630,14 @@ 1.0.0.0 - + [System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.PrimitiveDataFrameColumn<>+<GetReadOnlyDataBuffers>d__63))] [<System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.PrimitiveDataFrameColumn<>+<GetReadOnlyDataBuffers>d__63))>] + + [System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.PrimitiveDataFrameColumn<>+<GetReadOnlyDataBuffers>d__88))] + [<System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.PrimitiveDataFrameColumn<>+<GetReadOnlyDataBuffers>d__88))>] + System.Collections.Generic.IEnumerable<System.ReadOnlyMemory<T>> @@ -1660,10 +1664,14 @@ 1.0.0.0 - + [System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.PrimitiveDataFrameColumn<>+<GetReadOnlyNullBitMapBuffers>d__64))] [<System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.PrimitiveDataFrameColumn<>+<GetReadOnlyNullBitMapBuffers>d__64))>] + + [System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.PrimitiveDataFrameColumn<>+<GetReadOnlyNullBitMapBuffers>d__89))] + [<System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.PrimitiveDataFrameColumn<>+<GetReadOnlyNullBitMapBuffers>d__89))>] + System.Collections.Generic.IEnumerable<System.ReadOnlyMemory<System.Byte>> @@ -1678,21 +1686,21 @@ - - - - - + + + + + Method Microsoft.Data.Analysis 1.0.0.0 - System.Nullable<T> + System.Nullable<T> - + To be added. @@ -2403,6 +2411,32 @@ + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Boolean> + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + + @@ -2496,6 +2530,32 @@ + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Boolean> + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + + @@ -2527,6 +2587,32 @@ + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Boolean> + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.Data.Analysis/SByteDataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/SByteDataFrameColumn.xml index 2262ac691..2c66c6f48 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/SByteDataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/SByteDataFrameColumn.xml @@ -657,8 +657,8 @@ Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.SByte> - - + + To be added. diff --git a/dotnet/xml/Microsoft.Data.Analysis/SingleDataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/SingleDataFrameColumn.xml index 12c6800c5..39986b742 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/SingleDataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/SingleDataFrameColumn.xml @@ -645,8 +645,8 @@ Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Single> - - + + To be added. diff --git a/dotnet/xml/Microsoft.Data.Analysis/StringDataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/StringDataFrameColumn.xml index be3ddd531..7fe9db871 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/StringDataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/StringDataFrameColumn.xml @@ -658,10 +658,18 @@ 1.0.0.0 - + [System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.StringDataFrameColumn+<GetEnumerator>d__34))] [<System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.StringDataFrameColumn+<GetEnumerator>d__34))>] + + [System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.StringDataFrameColumn+<GetEnumerator>d__31))] + [<System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.StringDataFrameColumn+<GetEnumerator>d__31))>] + + + [System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.StringDataFrameColumn+<GetEnumerator>d__18))] + [<System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.StringDataFrameColumn+<GetEnumerator>d__18))>] + System.Collections.Generic.IEnumerator<System.String> diff --git a/dotnet/xml/Microsoft.Data.Analysis/UInt16DataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/UInt16DataFrameColumn.xml index c90528bd0..26b816d3e 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/UInt16DataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/UInt16DataFrameColumn.xml @@ -657,8 +657,8 @@ Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.UInt16> - - + + To be added. diff --git a/dotnet/xml/Microsoft.Data.Analysis/UInt32DataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/UInt32DataFrameColumn.xml index 460f45656..1aa2383f1 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/UInt32DataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/UInt32DataFrameColumn.xml @@ -669,8 +669,8 @@ Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.UInt32> - - + + To be added. diff --git a/dotnet/xml/Microsoft.Data.Analysis/UInt64DataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/UInt64DataFrameColumn.xml index 865286f5e..9bdeb6afe 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/UInt64DataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/UInt64DataFrameColumn.xml @@ -625,8 +625,8 @@ Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.UInt64> - - + + To be added. diff --git a/dotnet/xml/Microsoft.Extensions.ML/ServiceCollectionExtensions.xml b/dotnet/xml/Microsoft.Extensions.ML/ServiceCollectionExtensions.xml index c5bd0fe13..7776b1168 100644 --- a/dotnet/xml/Microsoft.Extensions.ML/ServiceCollectionExtensions.xml +++ b/dotnet/xml/Microsoft.Extensions.ML/ServiceCollectionExtensions.xml @@ -92,8 +92,8 @@ - - + + To be added. @@ -128,7 +128,7 @@ Microsoft.Extensions.DependencyInjection.IServiceCollection - + diff --git a/dotnet/xml/Microsoft.ML.AutoML.CodeGen/ConvertTypeOption.xml b/dotnet/xml/Microsoft.ML.AutoML.CodeGen/ConvertTypeOption.xml index f44eac580..f276d58ef 100644 --- a/dotnet/xml/Microsoft.ML.AutoML.CodeGen/ConvertTypeOption.xml +++ b/dotnet/xml/Microsoft.ML.AutoML.CodeGen/ConvertTypeOption.xml @@ -33,6 +33,26 @@ To be added. + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Nullable<Microsoft.ML.Transforms.Text.TextNormalizingEstimator+CaseMode> + + + To be added. + To be added. + To be added. + + @@ -53,6 +73,26 @@ To be added. + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + Microsoft.ML.IDataView + + + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.ML.AutoML.CodeGen/EstimatorType.xml b/dotnet/xml/Microsoft.ML.AutoML.CodeGen/EstimatorType.xml index 03c046217..92712d214 100644 --- a/dotnet/xml/Microsoft.ML.AutoML.CodeGen/EstimatorType.xml +++ b/dotnet/xml/Microsoft.ML.AutoML.CodeGen/EstimatorType.xml @@ -18,10 +18,14 @@ - + - + + + + + Field Microsoft.ML.AutoML @@ -30,17 +34,21 @@ Microsoft.ML.AutoML.CodeGen.EstimatorType - 36 + 38 To be added. - + - + + + + + Field Microsoft.ML.AutoML @@ -49,17 +57,21 @@ Microsoft.ML.AutoML.CodeGen.EstimatorType - 25 + 26 To be added. - + - + + + + + Field Microsoft.ML.AutoML @@ -68,17 +80,21 @@ Microsoft.ML.AutoML.CodeGen.EstimatorType - 34 + 36 To be added. - + - + + + + + Field Microsoft.ML.AutoML @@ -87,17 +103,21 @@ Microsoft.ML.AutoML.CodeGen.EstimatorType - 40 + 42 To be added. - + - + + + + + Field Microsoft.ML.AutoML @@ -106,7 +126,7 @@ Microsoft.ML.AutoML.CodeGen.EstimatorType - 38 + 40 To be added. @@ -246,10 +266,14 @@ - + - + + + + + Field Microsoft.ML.AutoML @@ -258,17 +282,21 @@ Microsoft.ML.AutoML.CodeGen.EstimatorType - 33 + 34 To be added. - + - + + + + + Field Microsoft.ML.AutoML @@ -277,7 +305,7 @@ Microsoft.ML.AutoML.CodeGen.EstimatorType - 24 + 25 To be added. @@ -436,10 +464,14 @@ - + - + + + + + Field Microsoft.ML.AutoML @@ -448,17 +480,21 @@ Microsoft.ML.AutoML.CodeGen.EstimatorType - 39 + 41 To be added. - + - + + + + + Field Microsoft.ML.AutoML @@ -467,17 +503,21 @@ Microsoft.ML.AutoML.CodeGen.EstimatorType - 29 + 30 To be added. - + - + + + + + Field Microsoft.ML.AutoML @@ -486,17 +526,21 @@ Microsoft.ML.AutoML.CodeGen.EstimatorType - 30 + 31 To be added. - + - + + + + + Field Microsoft.ML.AutoML @@ -505,7 +549,7 @@ Microsoft.ML.AutoML.CodeGen.EstimatorType - 35 + 37 To be added. @@ -531,10 +575,14 @@ - + - + + + + + Field Microsoft.ML.AutoML @@ -543,17 +591,40 @@ Microsoft.ML.AutoML.CodeGen.EstimatorType - 26 + 27 + + To be added. + + + + + + + + + Field + + Microsoft.ML.AutoML + 1.0.0.0 + + + Microsoft.ML.AutoML.CodeGen.EstimatorType + + 24 To be added. - + - + + + + + Field Microsoft.ML.AutoML @@ -562,7 +633,26 @@ Microsoft.ML.AutoML.CodeGen.EstimatorType - 32 + 33 + + To be added. + + + + + + + + + Field + + Microsoft.ML.AutoML + 1.0.0.0 + + + Microsoft.ML.AutoML.CodeGen.EstimatorType + + 35 To be added. @@ -588,10 +678,14 @@ - + - + + + + + Field Microsoft.ML.AutoML @@ -600,17 +694,21 @@ Microsoft.ML.AutoML.CodeGen.EstimatorType - 27 + 28 To be added. - + - + + + + + Field Microsoft.ML.AutoML @@ -619,7 +717,7 @@ Microsoft.ML.AutoML.CodeGen.EstimatorType - 28 + 29 To be added. @@ -645,10 +743,14 @@ - + - + + + + + Field Microsoft.ML.AutoML @@ -657,17 +759,21 @@ Microsoft.ML.AutoML.CodeGen.EstimatorType - 31 + 32 To be added. - + - + + + + + Field Microsoft.ML.AutoML @@ -676,7 +782,7 @@ Microsoft.ML.AutoML.CodeGen.EstimatorType - 37 + 39 To be added. @@ -776,6 +882,25 @@ To be added. + + + + + + + Field + + Microsoft.ML.AutoML + 1.0.0.0 + + + Microsoft.ML.AutoML.CodeGen.EstimatorType + + 20 + + To be added. + + @@ -797,10 +922,14 @@ - + - + + + + + Field Microsoft.ML.AutoML @@ -809,7 +938,7 @@ Microsoft.ML.AutoML.CodeGen.EstimatorType - 41 + 43 To be added. diff --git a/dotnet/xml/Microsoft.ML.AutoML.CodeGen/MapValueToKeyOption.xml b/dotnet/xml/Microsoft.ML.AutoML.CodeGen/MapValueToKeyOption.xml index 068cf34b9..d172d9e0e 100644 --- a/dotnet/xml/Microsoft.ML.AutoML.CodeGen/MapValueToKeyOption.xml +++ b/dotnet/xml/Microsoft.ML.AutoML.CodeGen/MapValueToKeyOption.xml @@ -73,6 +73,26 @@ To be added. + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + Microsoft.ML.IDataView + + + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.ML.AutoML.CodeGen/NamedEntityRecognitionOption.xml b/dotnet/xml/Microsoft.ML.AutoML.CodeGen/NamedEntityRecognitionOption.xml new file mode 100644 index 000000000..9727311e3 --- /dev/null +++ b/dotnet/xml/Microsoft.ML.AutoML.CodeGen/NamedEntityRecognitionOption.xml @@ -0,0 +1,157 @@ + + + + + + + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Object + + + + To be added. + To be added. + + + + + + + + Constructor + + Microsoft.ML.AutoML + 1.0.0.0 + + + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + Microsoft.ML.TorchSharp.NasBert.BertArchitecture + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Int32 + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.String + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Int32 + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.String + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.String + + + To be added. + To be added. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.AutoML.CodeGen/NormalizeTextOption.xml b/dotnet/xml/Microsoft.ML.AutoML.CodeGen/NormalizeTextOption.xml new file mode 100644 index 000000000..70a6ad101 --- /dev/null +++ b/dotnet/xml/Microsoft.ML.AutoML.CodeGen/NormalizeTextOption.xml @@ -0,0 +1,157 @@ + + + + + + + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Object + + + + To be added. + To be added. + + + + + + + + Constructor + + Microsoft.ML.AutoML + 1.0.0.0 + + + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + Microsoft.ML.Transforms.Text.TextNormalizingEstimator+CaseMode + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.String + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Boolean + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Boolean + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.Boolean + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.AutoML + 1.0.0.0 + + + System.String + + + To be added. + To be added. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.AutoML/AutoCatalog.xml b/dotnet/xml/Microsoft.ML.AutoML/AutoCatalog.xml index de484112c..5f745e8e4 100644 --- a/dotnet/xml/Microsoft.ML.AutoML/AutoCatalog.xml +++ b/dotnet/xml/Microsoft.ML.AutoML/AutoCatalog.xml @@ -20,11 +20,15 @@ - - + + - - + + + + + + Method Microsoft.ML.AutoML @@ -34,26 +38,38 @@ Microsoft.ML.AutoML.SweepablePipeline - - - - - - - - - - - - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. label column name. feature column name. example weight column name. @@ -672,6 +688,64 @@ + + + + + + + Method + + Microsoft.ML.AutoML + 1.0.0.0 + + + Microsoft.ML.AutoML.SweepablePipeline + + + + + + + + + + + + + + + + + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + + @@ -687,30 +761,30 @@ Microsoft.ML.AutoML.SweepablePipeline - - - - - - - - - - - - - - - - - - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + label column name. @@ -745,11 +819,15 @@ - - + + - - + + + + + + Method Microsoft.ML.AutoML @@ -759,26 +837,32 @@ Microsoft.ML.AutoML.SweepablePipeline - - - - - - - - - - - - - - - - - - + + + + + + + + + + + + + + + + + + + + + + To be added. + To be added. + To be added. label column name. feature column name. example weight column name. diff --git a/dotnet/xml/Microsoft.ML.AutoML/AutoMLExperimentExtension.xml b/dotnet/xml/Microsoft.ML.AutoML/AutoMLExperimentExtension.xml index 07b525091..2d79bdca6 100644 --- a/dotnet/xml/Microsoft.ML.AutoML/AutoMLExperimentExtension.xml +++ b/dotnet/xml/Microsoft.ML.AutoML/AutoMLExperimentExtension.xml @@ -146,6 +146,62 @@ To be added. + + + + + + + Method + + Microsoft.ML.AutoML + 1.0.0.0 + + + Microsoft.ML.AutoML.AutoMLExperiment + + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.AutoML + 1.0.0.0 + + + Microsoft.ML.AutoML.AutoMLExperiment + + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + + @@ -161,10 +217,10 @@ Microsoft.ML.AutoML.AutoMLExperiment - - - - + + + + @@ -198,10 +254,10 @@ Microsoft.ML.AutoML.AutoMLExperiment - - - - + + + + @@ -366,7 +422,7 @@ - + @@ -403,8 +459,8 @@ - - + + diff --git a/dotnet/xml/Microsoft.ML.AutoML/IDatasetManager.xml b/dotnet/xml/Microsoft.ML.AutoML/IDatasetManager.xml index bd316078a..c0395394b 100644 --- a/dotnet/xml/Microsoft.ML.AutoML/IDatasetManager.xml +++ b/dotnet/xml/Microsoft.ML.AutoML/IDatasetManager.xml @@ -1,9 +1,10 @@ - + + Microsoft.ML.AutoML 1.0.0.0 diff --git a/dotnet/xml/Microsoft.ML.AutoML/IEvaluateMetricManager.xml b/dotnet/xml/Microsoft.ML.AutoML/IEvaluateMetricManager.xml index 734a12eac..e1dd3dd9a 100644 --- a/dotnet/xml/Microsoft.ML.AutoML/IEvaluateMetricManager.xml +++ b/dotnet/xml/Microsoft.ML.AutoML/IEvaluateMetricManager.xml @@ -1,9 +1,10 @@ - + + Microsoft.ML.AutoML 1.0.0.0 diff --git a/dotnet/xml/Microsoft.ML.AutoML/IMetricManager.xml b/dotnet/xml/Microsoft.ML.AutoML/IMetricManager.xml index 8dc6cae2e..55e19e17d 100644 --- a/dotnet/xml/Microsoft.ML.AutoML/IMetricManager.xml +++ b/dotnet/xml/Microsoft.ML.AutoML/IMetricManager.xml @@ -1,9 +1,10 @@ - + + Microsoft.ML.AutoML 1.0.0.0 diff --git a/dotnet/xml/Microsoft.ML.AutoML/IMonitor.xml b/dotnet/xml/Microsoft.ML.AutoML/IMonitor.xml index 081e00e24..6dee66654 100644 --- a/dotnet/xml/Microsoft.ML.AutoML/IMonitor.xml +++ b/dotnet/xml/Microsoft.ML.AutoML/IMonitor.xml @@ -1,9 +1,10 @@ - + + Microsoft.ML.AutoML 1.0.0.0 @@ -88,11 +89,15 @@ - - + + - - + + + + + + Method Microsoft.ML.AutoML @@ -102,10 +107,12 @@ System.Void - + + To be added. + To be added. To be added. To be added. diff --git a/dotnet/xml/Microsoft.ML.AutoML/ISweepable.xml b/dotnet/xml/Microsoft.ML.AutoML/ISweepable.xml index b9630aa0e..9c39f5f9c 100644 --- a/dotnet/xml/Microsoft.ML.AutoML/ISweepable.xml +++ b/dotnet/xml/Microsoft.ML.AutoML/ISweepable.xml @@ -1,9 +1,10 @@ - + + Microsoft.ML.AutoML 1.0.0.0 diff --git a/dotnet/xml/Microsoft.ML.AutoML/ISweepable`1.xml b/dotnet/xml/Microsoft.ML.AutoML/ISweepable`1.xml index 02af83e44..b1b2ad515 100644 --- a/dotnet/xml/Microsoft.ML.AutoML/ISweepable`1.xml +++ b/dotnet/xml/Microsoft.ML.AutoML/ISweepable`1.xml @@ -1,9 +1,10 @@ - + + Microsoft.ML.AutoML 1.0.0.0 diff --git a/dotnet/xml/Microsoft.ML.AutoML/ITrialRunner.xml b/dotnet/xml/Microsoft.ML.AutoML/ITrialRunner.xml index c44ad2f11..de69ca8b5 100644 --- a/dotnet/xml/Microsoft.ML.AutoML/ITrialRunner.xml +++ b/dotnet/xml/Microsoft.ML.AutoML/ITrialRunner.xml @@ -1,9 +1,10 @@ - + + Microsoft.ML.AutoML 1.0.0.0 diff --git a/dotnet/xml/Microsoft.ML.AutoML/ITuner.xml b/dotnet/xml/Microsoft.ML.AutoML/ITuner.xml index 6368beb6f..7cf579ddf 100644 --- a/dotnet/xml/Microsoft.ML.AutoML/ITuner.xml +++ b/dotnet/xml/Microsoft.ML.AutoML/ITuner.xml @@ -1,9 +1,10 @@ - + + Microsoft.ML.AutoML 1.0.0.0 diff --git a/dotnet/xml/Microsoft.ML.Calibrators/ICalibrator.xml b/dotnet/xml/Microsoft.ML.Calibrators/ICalibrator.xml index 685f5a372..ea6ce0337 100644 --- a/dotnet/xml/Microsoft.ML.Calibrators/ICalibrator.xml +++ b/dotnet/xml/Microsoft.ML.Calibrators/ICalibrator.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.CodeGenerator.CodeGenerator/IWritable.xml b/dotnet/xml/Microsoft.ML.CodeGenerator.CodeGenerator/IWritable.xml index 6174e5bb2..b73f8cc0b 100644 --- a/dotnet/xml/Microsoft.ML.CodeGenerator.CodeGenerator/IWritable.xml +++ b/dotnet/xml/Microsoft.ML.CodeGenerator.CodeGenerator/IWritable.xml @@ -1,9 +1,10 @@ - + + Microsoft.ML.CodeGenerator 1.0.0.0 diff --git a/dotnet/xml/Microsoft.ML.CodeGenerator/ICSharpFile.xml b/dotnet/xml/Microsoft.ML.CodeGenerator/ICSharpFile.xml index 31d8cf76b..3245e6db1 100644 --- a/dotnet/xml/Microsoft.ML.CodeGenerator/ICSharpFile.xml +++ b/dotnet/xml/Microsoft.ML.CodeGenerator/ICSharpFile.xml @@ -1,9 +1,10 @@ - + + Microsoft.ML.CodeGenerator 1.0.0.0 diff --git a/dotnet/xml/Microsoft.ML.Data/CompositeDataLoader`2.xml b/dotnet/xml/Microsoft.ML.Data/CompositeDataLoader`2.xml index d5cd0249d..6cc330875 100644 --- a/dotnet/xml/Microsoft.ML.Data/CompositeDataLoader`2.xml +++ b/dotnet/xml/Microsoft.ML.Data/CompositeDataLoader`2.xml @@ -1,9 +1,9 @@ - - + + - - + + @@ -31,7 +31,7 @@ Microsoft.ML.IDataLoader<TSource> - + System.IDisposable diff --git a/dotnet/xml/Microsoft.ML.Data/DataViewTypeManager.xml b/dotnet/xml/Microsoft.ML.Data/DataViewTypeManager.xml index 3f0e7ec7d..422f990f7 100644 --- a/dotnet/xml/Microsoft.ML.Data/DataViewTypeManager.xml +++ b/dotnet/xml/Microsoft.ML.Data/DataViewTypeManager.xml @@ -36,13 +36,13 @@ System.Void - - - + + + - The corresponding type of in ML.NET's type system. Native type in C#. + The corresponding type of in ML.NET's type system. The attached to . This function tells that should be representation of data in in @@ -52,10 +52,10 @@ - + - + @@ -65,7 +65,7 @@ 1.0.0.0 - + [System.Obsolete("This API is deprecated, please use the new form of Register which takes in a single DataViewTypeAttribute instead.", false)] [<System.Obsolete("This API is deprecated, please use the new form of Register which takes in a single DataViewTypeAttribute instead.", false)>] @@ -83,8 +83,8 @@ - The corresponding type of in ML.NET's type system. Native type in C#. + The corresponding type of in ML.NET's type system. The s attached to . This function tells that should be representation of data in in diff --git a/dotnet/xml/Microsoft.ML.Data/DatabaseSource.xml b/dotnet/xml/Microsoft.ML.Data/DatabaseSource.xml index 90392407c..adda56aea 100644 --- a/dotnet/xml/Microsoft.ML.Data/DatabaseSource.xml +++ b/dotnet/xml/Microsoft.ML.Data/DatabaseSource.xml @@ -61,10 +61,10 @@ 1.0.0.0 - - - - + + + + The factory used to create the .. diff --git a/dotnet/xml/Microsoft.ML.Data/IFileHandle.xml b/dotnet/xml/Microsoft.ML.Data/IFileHandle.xml index 491f5bb90..bfd62741f 100644 --- a/dotnet/xml/Microsoft.ML.Data/IFileHandle.xml +++ b/dotnet/xml/Microsoft.ML.Data/IFileHandle.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Data/IMultiStreamSource.xml b/dotnet/xml/Microsoft.ML.Data/IMultiStreamSource.xml index 9aab2a516..e0cb49293 100644 --- a/dotnet/xml/Microsoft.ML.Data/IMultiStreamSource.xml +++ b/dotnet/xml/Microsoft.ML.Data/IMultiStreamSource.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Data/IRowToRowMapper.xml b/dotnet/xml/Microsoft.ML.Data/IRowToRowMapper.xml index 0e17b6c8f..5de8813d5 100644 --- a/dotnet/xml/Microsoft.ML.Data/IRowToRowMapper.xml +++ b/dotnet/xml/Microsoft.ML.Data/IRowToRowMapper.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Data/PredictionTransformerBase`1.xml b/dotnet/xml/Microsoft.ML.Data/PredictionTransformerBase`1.xml index 6b9d4b115..0ebe709fc 100644 --- a/dotnet/xml/Microsoft.ML.Data/PredictionTransformerBase`1.xml +++ b/dotnet/xml/Microsoft.ML.Data/PredictionTransformerBase`1.xml @@ -1,9 +1,9 @@ - - + + - - + + @@ -32,7 +32,7 @@ Microsoft.ML.ITransformer - + System.IDisposable diff --git a/dotnet/xml/Microsoft.ML.Data/SvmLightLoaderSaverCatalog.xml b/dotnet/xml/Microsoft.ML.Data/SvmLightLoaderSaverCatalog.xml index 5b065b48e..398e7144f 100644 --- a/dotnet/xml/Microsoft.ML.Data/SvmLightLoaderSaverCatalog.xml +++ b/dotnet/xml/Microsoft.ML.Data/SvmLightLoaderSaverCatalog.xml @@ -40,9 +40,9 @@ The catalog. - The number of rows from the sample to be used for determining the number of features. The number of features in the Features column. If 0 is specified, the loader will determine it by looking at the file sample given in . + The number of rows from the sample to be used for determining the number of features. If the file contains zero-based indices, this parameter should be set to true. If they are one-based it should be set to false. A data sample to be used for determining the number of features in the Features column. @@ -112,11 +112,11 @@ The catalog. The path to the file. - The number of rows from the sample to be used for determining the number of features. The number of features in the Features column. If 0 is specified, the loader will determine it by looking at the file given in . If the file contains zero-based indices, this parameter should be set to true. If they are one-based it should be set to false. + The number of rows from the sample to be used for determining the number of features. Load a from a text file using . diff --git a/dotnet/xml/Microsoft.ML.Data/TransformerChain`1.xml b/dotnet/xml/Microsoft.ML.Data/TransformerChain`1.xml index 0a4bbf03e..f34d45338 100644 --- a/dotnet/xml/Microsoft.ML.Data/TransformerChain`1.xml +++ b/dotnet/xml/Microsoft.ML.Data/TransformerChain`1.xml @@ -1,9 +1,9 @@ - - + + - - + + @@ -36,7 +36,7 @@ System.Collections.IEnumerable - + System.IDisposable @@ -251,8 +251,8 @@ Microsoft.ML.DataViewSchema - - + + To be added. @@ -423,8 +423,8 @@ Microsoft.ML.IDataView - - + + To be added. diff --git a/dotnet/xml/Microsoft.ML.Data/VBufferEditor.xml b/dotnet/xml/Microsoft.ML.Data/VBufferEditor.xml index 1546d0244..76b10178d 100644 --- a/dotnet/xml/Microsoft.ML.Data/VBufferEditor.xml +++ b/dotnet/xml/Microsoft.ML.Data/VBufferEditor.xml @@ -20,7 +20,7 @@ - + @@ -79,7 +79,7 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Data/VBuffer`1.xml b/dotnet/xml/Microsoft.ML.Data/VBuffer`1.xml index c14687d92..fbb802018 100644 --- a/dotnet/xml/Microsoft.ML.Data/VBuffer`1.xml +++ b/dotnet/xml/Microsoft.ML.Data/VBuffer`1.xml @@ -1,9 +1,9 @@ - - + + - - + + @@ -19,7 +19,7 @@ System.ValueType - + System.Collections.IEnumerable diff --git a/dotnet/xml/Microsoft.ML.Runtime/IChannel.xml b/dotnet/xml/Microsoft.ML.Runtime/IChannel.xml index 03c8acd0c..7b91a9467 100644 --- a/dotnet/xml/Microsoft.ML.Runtime/IChannel.xml +++ b/dotnet/xml/Microsoft.ML.Runtime/IChannel.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Runtime/IChannelProvider.xml b/dotnet/xml/Microsoft.ML.Runtime/IChannelProvider.xml index 9aabbbbdf..d04512116 100644 --- a/dotnet/xml/Microsoft.ML.Runtime/IChannelProvider.xml +++ b/dotnet/xml/Microsoft.ML.Runtime/IChannelProvider.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory.xml b/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory.xml index 7f89ec366..06d250681 100644 --- a/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory.xml +++ b/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory`1.xml b/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory`1.xml index f46875af5..663258f66 100644 --- a/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory`1.xml +++ b/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory`1.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory`2.xml b/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory`2.xml index 9203902e6..819965cff 100644 --- a/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory`2.xml +++ b/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory`2.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory`3.xml b/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory`3.xml index 608c06cb2..a6bf581a0 100644 --- a/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory`3.xml +++ b/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory`3.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory`4.xml b/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory`4.xml index cbc46666a..8254a513e 100644 --- a/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory`4.xml +++ b/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory`4.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Runtime/IExceptionContext.xml b/dotnet/xml/Microsoft.ML.Runtime/IExceptionContext.xml index 3d8b696bf..f88ad4870 100644 --- a/dotnet/xml/Microsoft.ML.Runtime/IExceptionContext.xml +++ b/dotnet/xml/Microsoft.ML.Runtime/IExceptionContext.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Runtime/IHost.xml b/dotnet/xml/Microsoft.ML.Runtime/IHost.xml index e13894f7c..0bcf4d817 100644 --- a/dotnet/xml/Microsoft.ML.Runtime/IHost.xml +++ b/dotnet/xml/Microsoft.ML.Runtime/IHost.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Runtime/IHostEnvironment.xml b/dotnet/xml/Microsoft.ML.Runtime/IHostEnvironment.xml index 870f3127a..4e0bb5271 100644 --- a/dotnet/xml/Microsoft.ML.Runtime/IHostEnvironment.xml +++ b/dotnet/xml/Microsoft.ML.Runtime/IHostEnvironment.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Runtime/IPipe`1.xml b/dotnet/xml/Microsoft.ML.Runtime/IPipe`1.xml index 38c2170b6..36d034302 100644 --- a/dotnet/xml/Microsoft.ML.Runtime/IPipe`1.xml +++ b/dotnet/xml/Microsoft.ML.Runtime/IPipe`1.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Runtime/IProgressChannel.xml b/dotnet/xml/Microsoft.ML.Runtime/IProgressChannel.xml index 0eeea83ac..a5b8771ed 100644 --- a/dotnet/xml/Microsoft.ML.Runtime/IProgressChannel.xml +++ b/dotnet/xml/Microsoft.ML.Runtime/IProgressChannel.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Runtime/IProgressChannelProvider.xml b/dotnet/xml/Microsoft.ML.Runtime/IProgressChannelProvider.xml index b1b179f67..20a9f8fd2 100644 --- a/dotnet/xml/Microsoft.ML.Runtime/IProgressChannelProvider.xml +++ b/dotnet/xml/Microsoft.ML.Runtime/IProgressChannelProvider.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Runtime/IProgressEntry.xml b/dotnet/xml/Microsoft.ML.Runtime/IProgressEntry.xml index e36fd9aa6..9340fda58 100644 --- a/dotnet/xml/Microsoft.ML.Runtime/IProgressEntry.xml +++ b/dotnet/xml/Microsoft.ML.Runtime/IProgressEntry.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.SearchSpace.Option/ChoiceOption.xml b/dotnet/xml/Microsoft.ML.SearchSpace.Option/ChoiceOption.xml index 32f90ccbb..147824810 100644 --- a/dotnet/xml/Microsoft.ML.SearchSpace.Option/ChoiceOption.xml +++ b/dotnet/xml/Microsoft.ML.SearchSpace.Option/ChoiceOption.xml @@ -13,7 +13,7 @@ - + [System.Text.Json.Serialization.JsonConverter(typeof(Microsoft.ML.SearchSpace.Converter.ChoiceOptionConverter))] [<System.Text.Json.Serialization.JsonConverter(typeof(Microsoft.ML.SearchSpace.Converter.ChoiceOptionConverter))>] diff --git a/dotnet/xml/Microsoft.ML.SearchSpace.Option/NestOption.xml b/dotnet/xml/Microsoft.ML.SearchSpace.Option/NestOption.xml new file mode 100644 index 000000000..fa576542e --- /dev/null +++ b/dotnet/xml/Microsoft.ML.SearchSpace.Option/NestOption.xml @@ -0,0 +1,573 @@ + + + + + + + + Microsoft.ML.SearchSpace + 1.0.0.0 + + + Microsoft.ML.SearchSpace.Option.OptionBase + + + + System.Collections.Generic.ICollection<System.Collections.Generic.KeyValuePair<System.String,Microsoft.ML.SearchSpace.Option.OptionBase>> + + + System.Collections.Generic.ICollection<System.Collections.Generic.KeyValuePair<TKey,TValue>> + + + System.Collections.Generic.IDictionary<System.String,Microsoft.ML.SearchSpace.Option.OptionBase> + + + System.Collections.Generic.IEnumerable<System.Collections.Generic.KeyValuePair<System.String,Microsoft.ML.SearchSpace.Option.OptionBase>> + + + System.Collections.Generic.IEnumerable<System.Collections.Generic.KeyValuePair<TKey,TValue>> + + + System.Collections.Generic.IEnumerable<T> + + + System.Collections.IEnumerable + + + + To be added. + To be added. + + + + + + + + Constructor + + Microsoft.ML.SearchSpace + 1.0.0.0 + + + + To be added. + To be added. + + + + + + + + + Method + + M:System.Collections.Generic.ICollection`1.Add(`0) + + + Microsoft.ML.SearchSpace + 1.0.0.0 + + + System.Void + + + + + + To be added. + To be added. + To be added. + + + + + + + + + Method + + M:System.Collections.Generic.IDictionary`2.Add(`0,`1) + + + Microsoft.ML.SearchSpace + 1.0.0.0 + + + System.Void + + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + M:System.Collections.Generic.ICollection`1.Clear + + + Microsoft.ML.SearchSpace + 1.0.0.0 + + + System.Void + + + + To be added. + To be added. + + + + + + + + + Method + + M:System.Collections.Generic.ICollection`1.Contains(`0) + + + Microsoft.ML.SearchSpace + 1.0.0.0 + + + System.Boolean + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + M:System.Collections.Generic.IDictionary`2.ContainsKey(`0) + + + Microsoft.ML.SearchSpace + 1.0.0.0 + + + System.Boolean + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + M:System.Collections.Generic.ICollection`1.CopyTo(`0[],System.Int32) + + + Microsoft.ML.SearchSpace + 1.0.0.0 + + + System.Void + + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Property + + P:System.Collections.Generic.ICollection`1.Count + + + Microsoft.ML.SearchSpace + 1.0.0.0 + + + System.Int32 + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.SearchSpace + 1.0.0.0 + + + System.Double[] + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.SearchSpace + 1.0.0.0 + + + System.Int32 + + + To be added. + To be added. + To be added. + + + + + + + + + Method + + M:System.Collections.Generic.IEnumerable`1.GetEnumerator + + + Microsoft.ML.SearchSpace + 1.0.0.0 + + + System.Collections.Generic.IEnumerator<System.Collections.Generic.KeyValuePair<System.String,Microsoft.ML.SearchSpace.Option.OptionBase>> + + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + P:System.Collections.Generic.ICollection`1.IsReadOnly + + + Microsoft.ML.SearchSpace + 1.0.0.0 + + + System.Boolean + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + P:System.Collections.Generic.IDictionary`2.Item(`0) + + + Microsoft.ML.SearchSpace + 1.0.0.0 + + + Microsoft.ML.SearchSpace.Option.OptionBase + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Property + + P:System.Collections.Generic.IDictionary`2.Keys + + + Microsoft.ML.SearchSpace + 1.0.0.0 + + + System.Collections.Generic.ICollection<System.String> + + + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.SearchSpace + 1.0.0.0 + + + System.Double[] + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + M:System.Collections.Generic.ICollection`1.Remove(`0) + + + Microsoft.ML.SearchSpace + 1.0.0.0 + + + System.Boolean + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + M:System.Collections.Generic.IDictionary`2.Remove(`0) + + + Microsoft.ML.SearchSpace + 1.0.0.0 + + + System.Boolean + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.SearchSpace + 1.0.0.0 + + + Microsoft.ML.SearchSpace.Parameter + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.SearchSpace + 1.0.0.0 + + + System.Nullable<System.Int32>[] + + + To be added. + To be added. + To be added. + + + + + + + + + Method + + M:System.Collections.IEnumerable.GetEnumerator + + + Microsoft.ML.SearchSpace + 1.0.0.0 + + + System.Collections.IEnumerator + + + + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.SearchSpace + 1.0.0.0 + + + System.Boolean + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Property + + P:System.Collections.Generic.IDictionary`2.Values + + + Microsoft.ML.SearchSpace + 1.0.0.0 + + + System.Collections.Generic.ICollection<Microsoft.ML.SearchSpace.Option.OptionBase> + + + To be added. + To be added. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.SearchSpace.Option/OptionBase.xml b/dotnet/xml/Microsoft.ML.SearchSpace.Option/OptionBase.xml index 5f9955681..6f2a10420 100644 --- a/dotnet/xml/Microsoft.ML.SearchSpace.Option/OptionBase.xml +++ b/dotnet/xml/Microsoft.ML.SearchSpace.Option/OptionBase.xml @@ -13,7 +13,7 @@ - + [System.Text.Json.Serialization.JsonConverter(typeof(Microsoft.ML.SearchSpace.Converter.OptionConverter))] [<System.Text.Json.Serialization.JsonConverter(typeof(Microsoft.ML.SearchSpace.Converter.OptionConverter))>] diff --git a/dotnet/xml/Microsoft.ML.SearchSpace.Option/SearchSpace.xml b/dotnet/xml/Microsoft.ML.SearchSpace.Option/SearchSpace.xml index 83bb4ab94..9fe1f7e1f 100644 --- a/dotnet/xml/Microsoft.ML.SearchSpace.Option/SearchSpace.xml +++ b/dotnet/xml/Microsoft.ML.SearchSpace.Option/SearchSpace.xml @@ -35,7 +35,9 @@ - To be added. + + This class represent nest option, which is an option that contains other options, like , or even itself. + To be added. @@ -79,6 +81,7 @@ To be added. To be added. To be added. + @@ -107,6 +110,7 @@ To be added. To be added. To be added. + @@ -130,6 +134,7 @@ To be added. To be added. + @@ -157,6 +162,7 @@ To be added. To be added. To be added. + @@ -184,6 +190,7 @@ To be added. To be added. To be added. + @@ -212,6 +219,7 @@ To be added. To be added. To be added. + @@ -235,6 +243,7 @@ To be added. To be added. To be added. + @@ -255,6 +264,7 @@ To be added. To be added. To be added. + @@ -275,6 +285,7 @@ To be added. To be added. To be added. + @@ -299,6 +310,7 @@ To be added. To be added. To be added. + @@ -322,6 +334,7 @@ To be added. To be added. To be added. + @@ -349,6 +362,7 @@ To be added. To be added. To be added. + @@ -372,6 +386,7 @@ To be added. To be added. To be added. + @@ -396,6 +411,7 @@ To be added. To be added. To be added. + @@ -423,6 +439,7 @@ To be added. To be added. To be added. + @@ -450,6 +467,7 @@ To be added. To be added. To be added. + @@ -474,6 +492,7 @@ To be added. To be added. To be added. + @@ -494,6 +513,7 @@ To be added. To be added. To be added. + @@ -518,6 +538,7 @@ To be added. To be added. To be added. + @@ -544,6 +565,7 @@ To be added. To be added. To be added. + @@ -567,6 +589,7 @@ To be added. To be added. To be added. + diff --git a/dotnet/xml/Microsoft.ML.SearchSpace.Option/UniformNumericOption.xml b/dotnet/xml/Microsoft.ML.SearchSpace.Option/UniformNumericOption.xml index 46614c3ac..866ff0310 100644 --- a/dotnet/xml/Microsoft.ML.SearchSpace.Option/UniformNumericOption.xml +++ b/dotnet/xml/Microsoft.ML.SearchSpace.Option/UniformNumericOption.xml @@ -13,7 +13,7 @@ - + [System.Text.Json.Serialization.JsonConverter(typeof(Microsoft.ML.SearchSpace.Converter.NumericOptionConverter))] [<System.Text.Json.Serialization.JsonConverter(typeof(Microsoft.ML.SearchSpace.Converter.NumericOptionConverter))>] diff --git a/dotnet/xml/Microsoft.ML.SearchSpace/BooleanChoiceAttribute.xml b/dotnet/xml/Microsoft.ML.SearchSpace/BooleanChoiceAttribute.xml index 8effe8eee..1d750de38 100644 --- a/dotnet/xml/Microsoft.ML.SearchSpace/BooleanChoiceAttribute.xml +++ b/dotnet/xml/Microsoft.ML.SearchSpace/BooleanChoiceAttribute.xml @@ -13,7 +13,7 @@ 1.0.0.0 - + System.Attribute diff --git a/dotnet/xml/Microsoft.ML.SearchSpace/ChoiceAttribute.xml b/dotnet/xml/Microsoft.ML.SearchSpace/ChoiceAttribute.xml index 35caf8b2f..e156e9797 100644 --- a/dotnet/xml/Microsoft.ML.SearchSpace/ChoiceAttribute.xml +++ b/dotnet/xml/Microsoft.ML.SearchSpace/ChoiceAttribute.xml @@ -13,7 +13,7 @@ 1.0.0.0 - + System.Attribute diff --git a/dotnet/xml/Microsoft.ML.SearchSpace/NestOptionAttribute.xml b/dotnet/xml/Microsoft.ML.SearchSpace/NestOptionAttribute.xml index 29e5a9808..80c1fb1d0 100644 --- a/dotnet/xml/Microsoft.ML.SearchSpace/NestOptionAttribute.xml +++ b/dotnet/xml/Microsoft.ML.SearchSpace/NestOptionAttribute.xml @@ -13,7 +13,7 @@ 1.0.0.0 - + System.Attribute diff --git a/dotnet/xml/Microsoft.ML.SearchSpace/Parameter.xml b/dotnet/xml/Microsoft.ML.SearchSpace/Parameter.xml index e71ad18a5..75c051a60 100644 --- a/dotnet/xml/Microsoft.ML.SearchSpace/Parameter.xml +++ b/dotnet/xml/Microsoft.ML.SearchSpace/Parameter.xml @@ -48,9 +48,14 @@ - is used to save sweeping result from tuner and is used to restore mlnet pipeline from sweepable pipline. + is used to save sweeping result from tuner and is used to restore mlnet pipeline from sweepable pipeline. To be added. + + + diff --git a/dotnet/xml/Microsoft.ML.SearchSpace/RangeAttribute.xml b/dotnet/xml/Microsoft.ML.SearchSpace/RangeAttribute.xml index 7c9406cdb..3229185ea 100644 --- a/dotnet/xml/Microsoft.ML.SearchSpace/RangeAttribute.xml +++ b/dotnet/xml/Microsoft.ML.SearchSpace/RangeAttribute.xml @@ -13,7 +13,7 @@ 1.0.0.0 - + System.Attribute diff --git a/dotnet/xml/Microsoft.ML.SearchSpace/SearchSpace.xml b/dotnet/xml/Microsoft.ML.SearchSpace/SearchSpace.xml index 10b6ea801..a879db866 100644 --- a/dotnet/xml/Microsoft.ML.SearchSpace/SearchSpace.xml +++ b/dotnet/xml/Microsoft.ML.SearchSpace/SearchSpace.xml @@ -35,16 +35,21 @@ - + [System.Text.Json.Serialization.JsonConverter(typeof(Microsoft.ML.SearchSpace.Converter.SearchSpaceConverter))] [<System.Text.Json.Serialization.JsonConverter(typeof(Microsoft.ML.SearchSpace.Converter.SearchSpaceConverter))>] - This class is used to represent a set of , which can be either one of , or . + This class is used to represent a set of , which can be either one of , or another nested search space. To be added. + + + diff --git a/dotnet/xml/Microsoft.ML.SearchSpace/SearchSpace`1.xml b/dotnet/xml/Microsoft.ML.SearchSpace/SearchSpace`1.xml index 74b5fedc4..8a5fd9055 100644 --- a/dotnet/xml/Microsoft.ML.SearchSpace/SearchSpace`1.xml +++ b/dotnet/xml/Microsoft.ML.SearchSpace/SearchSpace`1.xml @@ -25,6 +25,11 @@ To be added. To be added. + + + diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/Bpe.xml b/dotnet/xml/Microsoft.ML.Tokenizers/Bpe.xml index 1da6eafae..7581ba0f4 100644 --- a/dotnet/xml/Microsoft.ML.Tokenizers/Bpe.xml +++ b/dotnet/xml/Microsoft.ML.Tokenizers/Bpe.xml @@ -49,11 +49,11 @@ 1.0.0.0 - - - - - + + + + + The JSON file path containing the dictionary of string keys and their ids. @@ -67,12 +67,79 @@ To be added. + + + + + + + Constructor + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + + + + + + + + + The JSON stream containing the dictionary of string keys and their ids. + The stream containing the tokens's pairs list. + The unknown token to be used by the model. + The prefix to attach to sub-word units that don’t represent a beginning of word. + The suffix to attach to sub-word units that represent an end of word. + Indicate whether allowing multiple unknown tokens get fused. + + Construct a new Bpe model object to use for text encoding. + + To be added. + + + + + + + + + Constructor + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + + + + + + + + + The JSON file path containing the dictionary of string keys and their ids. + The file path containing the tokens's pairs list. + The unknown token to be used by the model. + The prefix to attach to sub-word units that don’t represent a beginning of word. + The suffix to attach to sub-word units that represent an end of word. + Indicate whether allowing multiple unknown tokens get fused. + + Construct a new Bpe model object to use for text encoding. + + To be added. + + - + - - + + + + + Property Microsoft.ML.Tokenizers @@ -83,12 +150,40 @@ - An optional prefix to use on any sub-word that exist only behind another one + A prefix to be used for every subword that is not a beginning-of-word To be added. To be added. + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + + + + The text to encode. If the value of the parameter is true, the entire text will be treated as a special token. + Specifies whether the entire is considered a special token. This parameter is ignored in this model. + + Get the number of tokens that the input text will be encoded to. + + The number of tokens that the input text will be encoded to. This parameter is ignored in this model. + To be added. + + @@ -111,12 +206,72 @@ To be added. + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyList<Microsoft.ML.Tokenizers.Token> + + + + + + + The text to encode. If the value of the parameter is true, the entire text will be treated as a special token. + Specifies whether the entire is considered a special token. This parameter is ignored in this model. + + Encode a text string to a list of tokens. + + The list of tokens generated from the text tokenization. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Void + + + + + + + + The text to encode. If the value of the parameter is true, the entire text will be treated as a special token. + Specifies whether the entire is considered a special token. This parameter is ignored in this model. + The list of accumulated encoded Ids. + + Encode a split text string to a list of Ids and add them to the accumulatedIds list. + + To be added. + + - + - - + + + + + Property Microsoft.ML.Tokenizers @@ -134,11 +289,14 @@ - + - - + + + + + Property Microsoft.ML.Tokenizers @@ -239,8 +397,8 @@ System.String - - + + The Id to map to the token. @@ -267,8 +425,8 @@ System.String - - + + The Id to map to the token. @@ -295,7 +453,7 @@ System.Boolean - + To be added. @@ -304,6 +462,62 @@ To be added. + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + + + + The Id to map to the token. + Indicate if want to consider the special tokens during the decoding. + + Map the encoded Id to the token. + + The mapped token of the Id. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Nullable<System.Int32> + + + + + + + The token to map to the Id. + Indicate if want to consider the special tokens during the encoding. + + Map the token to encoded Id. + + The mapped Id of the token. + To be added. + + @@ -319,8 +533,8 @@ System.String[] - - + + The file system path to store the generated files at. @@ -347,7 +561,7 @@ System.Collections.Generic.IReadOnlyList<Microsoft.ML.Tokenizers.Token> - + The sequence to tokenize. @@ -373,7 +587,7 @@ System.Nullable<System.Int32> - + The token to map to the Id. @@ -385,11 +599,14 @@ - + - - + + + + + Property Microsoft.ML.Tokenizers @@ -406,5 +623,27 @@ To be added. + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyDictionary<System.String,System.Int32> + + + + Gets the dictionary mapping tokens to Ids. + + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/EncodingResult.xml b/dotnet/xml/Microsoft.ML.Tokenizers/EncodingResult.xml new file mode 100644 index 000000000..9ab8593d4 --- /dev/null +++ b/dotnet/xml/Microsoft.ML.Tokenizers/EncodingResult.xml @@ -0,0 +1,191 @@ + + + + + + + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Object + + + + + The Encoding represents the output of a Tokenizer. + + To be added. + + + + + + + + + Constructor + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + + + + + + + The list of tokens to merge. + The list of tokens to merge. + The list of tokens to merge. + Indicate whether the offsets is mapped to the original string or the normalized string. + + Create a new object of the EncodingResult object. + + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyList<System.Int32> + + + + Gets list of the tokens Ids. + The Ids are the main input to a Language Model. They are the token indices, the numerical representations that a LM understands. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + Gets the normalized form of the original string. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + + [System.Runtime.CompilerServices.TupleElementNames(new System.String[] { "Index", "Length" })] + [<System.Runtime.CompilerServices.TupleElementNames(new System.String[] { "Index", "Length" })>] + + + + System.Collections.Generic.IReadOnlyList<System.ValueTuple<System.Int32,System.Int32>> + + + + Gets The list of offsets. These offsets let's you slice the input string, and thus retrieve + the original part that led to producing the corresponding token. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Boolean + + + + Gets the normalized form of the original string. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + Gets the original tokenized string. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyList<System.String> + + + + Gets the generated tokens. They are the string representation of the Ids. + + To be added. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/EnglishRoberta.xml b/dotnet/xml/Microsoft.ML.Tokenizers/EnglishRoberta.xml index 0ea2f7fd2..6b186d392 100644 --- a/dotnet/xml/Microsoft.ML.Tokenizers/EnglishRoberta.xml +++ b/dotnet/xml/Microsoft.ML.Tokenizers/EnglishRoberta.xml @@ -31,9 +31,9 @@ 1.0.0.0 - - - + + + The stream of a JSON file containing the dictionary of string keys and their ids. @@ -57,9 +57,9 @@ 1.0.0.0 - - - + + + The JSON file path containing the dictionary of string keys and their ids. @@ -71,6 +71,62 @@ To be added. + + + + + + + Constructor + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + + + + + + + The stream of a JSON file containing the dictionary of string keys and their ids. + The stream of a file containing the tokens's pairs list. + Remap the original GPT-2 model Ids to high occurrence ranks and values. + Indicate if want to filter the unsupported characters during the decoding. + + Construct tokenizer's model object to use with the English Robert model. + + To be added. + + + + + + + + + Constructor + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + + + + + + + The JSON file path containing the dictionary of string keys and their ids. + The file path containing the tokens's pairs list. + Remap the original GPT-2 model Ids to high occurrence ranks and values. + Indicate if want to filter the unsupported characters during the decoding. + + Construct tokenizer's model object to use with the English Robert model. + + To be added. + + @@ -97,6 +153,191 @@ To be added. + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyList<System.Int32> + + + + + + The Ids list to map to the high occurrence rank. + + Convert a list of tokens Ids to highest occurrence rankings. + + The list of ranks mapped from the list of Ids. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyList<System.Int32> + + + + + + The Ids list to map to the high occurrence values. + + Convert a list of tokens Ids to highest occurrence values. + + The list of occurrence values mapped from the list of Ids. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyList<System.Int32> + + + + + + The high occurrence ranks list to map to the Ids list. + + Convert a list of highest occurrence rankings to tokens Ids list . + + The list of Ids mapped from the list of ranks. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + + + + The text to encode. If the value of the parameter is true, the entire text will be treated as a special token. + Specifies whether the entire is considered a special token. This parameter is ignored in this model. + + Get the number of tokens that the input text will be encoded to. + + The number of tokens that the input text will be encoded to. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyList<Microsoft.ML.Tokenizers.Token> + + + + + + + The text to encode. If the value of the parameter is true, the entire text will be treated as a special token. + Specifies whether the entire is considered a special token. This parameter is ignored in this model. + + Encode a text string to a list of tokens. + + The list of tokens generated from the text tokenization. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Void + + + + + + + + The text to encode. If the value of the parameter is true, the entire text will be treated as a special token. + Specifies whether the entire is considered a special token. This parameter is ignored in this model. + The list of accumulated encoded Ids. + + Encode a split text string to a list of Ids and add them to the accumulatedIds list. + + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Boolean + + + + Indicate if want to filter the unsupported characters during the decoding. + + To be added. + To be added. + + @@ -183,7 +424,7 @@ System.Collections.Generic.IReadOnlyList<System.Int32> - + The Ids list to map to the high occurrence rank. @@ -209,7 +450,7 @@ System.Collections.Generic.IReadOnlyList<System.Int32> - + The Ids list to map to the high occurrence values. @@ -235,8 +476,8 @@ System.String - - + + The Id to map to the string. @@ -263,8 +504,8 @@ System.String - - + + The Id to map to the token. @@ -276,6 +517,32 @@ To be added. + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Boolean + + + + + + The character to check. + + Check if the character is supported by the tokenizer's model. + + True if the character is supported, otherwise false. + To be added. + + @@ -291,7 +558,7 @@ System.Boolean - + To be added. @@ -300,6 +567,62 @@ To be added. + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + + + + The Id to map to the string. + Indicate if want to consider the special tokens during the decoding. + + Map the encoded Id to the token. + + The mapped token of the Id. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Nullable<System.Int32> + + + + + + + The token to map to the Id. + Indicate if want to consider the special tokens during the encoding. + + Map the token to encoded Id. + + The mapped Id of the token. + To be added. + + @@ -315,7 +638,7 @@ System.Collections.Generic.IReadOnlyList<System.Int32> - + The high occurrence ranks list to map to the Ids list. @@ -363,8 +686,8 @@ System.String[] - - + + The file system path to store the generated files at. @@ -413,7 +736,7 @@ System.Collections.Generic.IReadOnlyList<Microsoft.ML.Tokenizers.Token> - + The sequence to tokenize. @@ -439,7 +762,7 @@ System.Nullable<System.Int32> - + The token to map to the Id. @@ -450,5 +773,27 @@ To be added. + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyDictionary<System.String,System.Int32> + + + + Gets the dictionary mapping tokens to Ids. + + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/LowerCaseNormalizer.xml b/dotnet/xml/Microsoft.ML.Tokenizers/LowerCaseNormalizer.xml index 6ae3effa1..a47f154fa 100644 --- a/dotnet/xml/Microsoft.ML.Tokenizers/LowerCaseNormalizer.xml +++ b/dotnet/xml/Microsoft.ML.Tokenizers/LowerCaseNormalizer.xml @@ -38,18 +38,23 @@ - - + + - - + + + + + + Method Microsoft.ML.Tokenizers 1.0.0.0 - Microsoft.ML.Tokenizers.NormalizedString + Microsoft.ML.Tokenizers.NormalizedString + System.String diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/Model.xml b/dotnet/xml/Microsoft.ML.Tokenizers/Model.xml index 86ad6afe4..d0ce2516d 100644 --- a/dotnet/xml/Microsoft.ML.Tokenizers/Model.xml +++ b/dotnet/xml/Microsoft.ML.Tokenizers/Model.xml @@ -35,6 +35,127 @@ To be added. + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + + + + The text to encode. If the value of the parameter is true, the entire text will be treated as a special token. + Specifies whether the entire is considered a special token. + + Get the number of tokens that the input text will be encoded to. + + The number of tokens that the input text will be encoded to. + + This method does the default implementation that uses the EncodeToIds method to get the number of token's Ids. + Tokenizer's models which care about performance may choose to override this method to provide a more efficient implementation. + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + + + + + The list of ids that we want to decode. + Whether the special tokens should be kept in the decoded string. + The optional Decoder to merge the given list of tokens in a string. + + Decode the given ids, back to a String. + + The decoded string. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyList<Microsoft.ML.Tokenizers.Token> + + + + + + + The text to encode. If the value of the parameter is true, the entire text will be treated as a special token. + Specifies whether the entire is considered a special token. + + Encode a text to a list of tokens. + + The list of tokens generated from the text tokenization. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Void + + + + + + + + The text to encode. If the value of the parameter is true, the entire text will be treated as a special token. + Specifies whether the entire is considered a special token. + The list of accumulated encoded Ids. + + Encode a text to a list of Ids and add them to the accumulatedIds list. + + + This method does the default implementation that uses the Encode method to get the token's Ids. + Tokenizer's models which care about performance may choose to override this method to provide a more efficient implementation. + + + @@ -119,8 +240,8 @@ System.String - - + + To be added. @@ -145,8 +266,8 @@ System.String - - + + The Id to map to the token. @@ -173,7 +294,7 @@ System.Boolean - + @@ -184,6 +305,62 @@ To be added. + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + + + + The Id to map to the token. + Indicate if want to consider the special tokens during the decoding. + + Map the encoded Id to the token. + + The mapped token of the Id. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Nullable<System.Int32> + + + + + + + The token to map to Id + Indicate if want to consider the special tokens during the encoding. + + Map the token to encoded id with the option to skip the special tokens. + + The mapped Id of the token. + To be added. + + @@ -199,8 +376,8 @@ System.String[] - - + + The file system path to store the generated files at. @@ -227,7 +404,7 @@ System.Collections.Generic.IReadOnlyList<Microsoft.ML.Tokenizers.Token> - + The sequence to tokenize. @@ -253,7 +430,7 @@ System.Nullable<System.Int32> - + The token to map to the Id. diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/Normalizer.xml b/dotnet/xml/Microsoft.ML.Tokenizers/Normalizer.xml index 51714bc34..6cc09c6b1 100644 --- a/dotnet/xml/Microsoft.ML.Tokenizers/Normalizer.xml +++ b/dotnet/xml/Microsoft.ML.Tokenizers/Normalizer.xml @@ -36,18 +36,23 @@ - - + + - - + + + + + + Method Microsoft.ML.Tokenizers 1.0.0.0 - Microsoft.ML.Tokenizers.NormalizedString + Microsoft.ML.Tokenizers.NormalizedString + System.String @@ -57,7 +62,7 @@ Process the original string to modify it and obtain a normalized string. - The normalized string along with the mapping to the original string. + The normalized string. To be added. diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/PreTokenizer.xml b/dotnet/xml/Microsoft.ML.Tokenizers/PreTokenizer.xml index 8cec9261b..0b3ace856 100644 --- a/dotnet/xml/Microsoft.ML.Tokenizers/PreTokenizer.xml +++ b/dotnet/xml/Microsoft.ML.Tokenizers/PreTokenizer.xml @@ -51,7 +51,7 @@ System.Collections.Generic.IReadOnlyList<Microsoft.ML.Tokenizers.Split> - + The string to split into tokens. @@ -62,5 +62,33 @@ To be added. + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IEnumerable<Microsoft.ML.Tokenizers.Split> + + + + + + + The string to split into tokens. + Indicates whether to consider the special tokens. + + Splits the given string in multiple substrings at the word boundary, keeping track of the offsets of said substrings from the original string. + + The list of the splits containing the tokens and the token's offsets to the original string. + To be added. + + diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/RobertaPreTokenizer.xml b/dotnet/xml/Microsoft.ML.Tokenizers/RobertaPreTokenizer.xml index b26fbf40a..9b3ebfea9 100644 --- a/dotnet/xml/Microsoft.ML.Tokenizers/RobertaPreTokenizer.xml +++ b/dotnet/xml/Microsoft.ML.Tokenizers/RobertaPreTokenizer.xml @@ -56,6 +56,28 @@ To be added. + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.RobertaPreTokenizer + + + + Gets a singleton instance of the Roberta pre-tokenizer.. + + To be added. + To be added. + + @@ -71,7 +93,7 @@ System.Collections.Generic.IReadOnlyList<Microsoft.ML.Tokenizers.Split> - + The string to split into tokens. @@ -82,5 +104,33 @@ To be added. + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IEnumerable<Microsoft.ML.Tokenizers.Split> + + + + + + + The string to split into tokens. + Indicates whether to keep the special tokens. + + Splits the given string in multiple substrings at the word boundary, keeping track of the offsets of said substrings from the original string. + + The list of the splits containing the tokens and the token's offsets to the original string. + To be added. + + diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/Split.xml b/dotnet/xml/Microsoft.ML.Tokenizers/Split.xml index 2b79f8150..620edb386 100644 --- a/dotnet/xml/Microsoft.ML.Tokenizers/Split.xml +++ b/dotnet/xml/Microsoft.ML.Tokenizers/Split.xml @@ -1,15 +1,20 @@ - - + + - - + + + + + + Microsoft.ML.Tokenizers 1.0.0.0 System.Object + System.ValueType @@ -37,8 +42,8 @@ 1.0.0.0 - - + + [System.Runtime.CompilerServices.TupleElementNames(new System.String[] { "Index", "End" })] @@ -56,12 +61,47 @@ To be added. + + + + + + + Constructor + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + + + + + [System.Runtime.CompilerServices.TupleElementNames(new System.String[] { "Index", "Length" })] + [<System.Runtime.CompilerServices.TupleElementNames(new System.String[] { "Index", "Length" })>] + + + + + + + The token string + The offset mapping to the original string + Indicates whether the token is a special token + + create a Split object using the token and the offset + + To be added. + + - - + + + + Method M:System.IEquatable`1.Equals(`0) @@ -85,22 +125,49 @@ To be added. + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Boolean + + + + Gets if the current Split is a special token. + + To be added. + To be added. + + - + + Property Microsoft.ML.Tokenizers 1.0.0.0 - + [System.Runtime.CompilerServices.TupleElementNames(new System.String[] { "Index", "End" })] [<System.Runtime.CompilerServices.TupleElementNames(new System.String[] { "Index", "End" })>] + + [System.Runtime.CompilerServices.TupleElementNames(new System.String[] { "Index", "Length" })] + [<System.Runtime.CompilerServices.TupleElementNames(new System.String[] { "Index", "Length" })>] + System.ValueTuple<System.Int32,System.Int32> @@ -113,6 +180,28 @@ To be added. + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.ReadOnlySpan<System.Char> + + + + Gets the underlying split token as a span. + + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/TikTokenPreTokenizer.xml b/dotnet/xml/Microsoft.ML.Tokenizers/TikTokenPreTokenizer.xml new file mode 100644 index 000000000..e7a0ac55b --- /dev/null +++ b/dotnet/xml/Microsoft.ML.Tokenizers/TikTokenPreTokenizer.xml @@ -0,0 +1,76 @@ + + + + + + + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.PreTokenizer + + + + + The pre-tokenizer for Tiktoken tokenizer. + + To be added. + + + + + + + + + Constructor + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + + + + + The regex to use for splitting the text into smaller tokens in the pre-tokenization process. + Encode the special token to Id. + + Initializes a new instance of the class. + + To be added. + When regex is null + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IEnumerable<Microsoft.ML.Tokenizers.Split> + + + + + + + The string to split into tokens. + Indicates whether to consider the special tokens. + + Splits the given string in multiple substrings at the word boundary, keeping track of the offsets of said substrings from the original string. + + The list of the splits containing the tokens and the token's offsets to the original string. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/Tiktoken.xml b/dotnet/xml/Microsoft.ML.Tokenizers/Tiktoken.xml new file mode 100644 index 000000000..f49970325 --- /dev/null +++ b/dotnet/xml/Microsoft.ML.Tokenizers/Tiktoken.xml @@ -0,0 +1,508 @@ + + + + + + + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.Model + + + + + Represent the rapid Byte Pair Encoding model commonly referred to as Tiktoken. + + To be added. + + + + + + + + + Constructor + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + + + + + + The stream to the BPE vocab file. + The dictionary mapping special tokens to Ids. + The size of the cache to use. + + Create a new Tiktoken tokenizer's model object. + + To be added. + Thrown when is null or empty. + Thrown when failed to load the BPE vocab file. + + + + + + + + + Constructor + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + + + + + + The path to the BPE vocab file. + The dictionary mapping special tokens to Ids. + The size of the cache to use. + + Create a new Tiktoken tokenizer's model object. + + To be added. + Thrown when is null or empty. + Thrown when failed to load the BPE vocab file. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + + + + The text to encode. If the value of the parameter is true, the entire text will be treated as a special token. + Specifies whether the entire is considered a special token. + + Get the number of tokens that the input text will be encoded to. + + The number of tokens that the input text will be encoded to. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Threading.Tasks.Task<Microsoft.ML.Tokenizers.Tiktoken> + + + + + + + + + The stream to the BPE vocab file. + The dictionary mapping special tokens to Ids. + The size of the cache to use. + + used to request cancellation of the operation. + + Create a new Tiktoken tokenizer's model object asynchronously. + + Tiktoken tokenizer's object. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Threading.Tasks.Task<Microsoft.ML.Tokenizers.Tiktoken> + + + + + + + + + The BPE vocab file. + The dictionary mapping special tokens to Ids. + The size of the cache to use. + + used to request cancellation of the operation. + + Create a new Tiktoken tokenizer's object asynchronously. + + Tiktoken tokenizer's model object. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.Tokenizer + + + + + + + + + + Model name + The stream to the BPE vocab file. + Extra special tokens other than the built-in ones for the model + The size of the cache to use. + To normalize the text before tokenization + + Create a Tiktoken tokenizer based on model name and vocab file. + + The tokenizer + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Threading.Tasks.Task<Microsoft.ML.Tokenizers.Tokenizer> + + + + + + + + + Model name + Extra special tokens other than the built-in ones for the model + To normalize the text before tokenization + + used to request cancellation of the operation. + + Create tokenizer based on model name + + The tokenizer + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Threading.Tasks.Task<Microsoft.ML.Tokenizers.Tokenizer> + + + + + + + + + + + Model name + The stream to the BPE vocab file. + Extra special tokens other than the built-in ones for the model + The size of the cache to use. + To normalize the text before tokenization + + used to request cancellation of the operation. + + Create a Tiktoken tokenizer based on model name and vocab file. + + The tokenizer + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + + + + + The list of ids that we want to decode. + Whether the special tokens should be kept in the decoded string. + The optional Decoder to merge the given list of tokens in a string. + + Decode the given ids, back to a String. + + The decoded string. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyDictionary<System.Int32,System.ReadOnlyMemory<System.Byte>> + + + + Gets the dictionary mapping Ids to token utf-8 bytes. + + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyList<Microsoft.ML.Tokenizers.Token> + + + + + + + The text to encode. If the value of the parameter is true, the entire text will be treated as a special token. + Specifies whether the entire is considered a special token. + + Encode a split text string to a list of tokens. + + The list of tokens generated from the text tokenization. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyDictionary<System.ReadOnlyMemory<System.Byte>,System.Int32> + + + + Gets the dictionary mapping token bytes to Ids. + + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Void + + + + + + + + The text to encode. If the value of the parameter is true, the entire text will be treated as a special token. + Specifies whether the entire is considered a special token. + The list of accumulated Ids. + + Encode text to a list of Ids. + + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + + + + The Id to map to the token. + Indicate if want to consider the special tokens during the decoding. + + Map the encoded Id to the token. + + The mapped token of the Id. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Nullable<System.Int32> + + + + + + + The token to map to the Id. + Indicate if want to consider the special tokens during the encoding. + + Map the token to encoded Id. + + The mapped Id of the token. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyDictionary<System.String,System.Int32> + + + + Gets the dictionary mapping special tokens to Ids. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyDictionary<System.String,System.Int32> + + + + Gets the dictionary mapping tokens to Ids. + + To be added. + This may not contain the full set of vocabulary tokens, use Encoder to get the full set of vocabulary. + + + + diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/Token.xml b/dotnet/xml/Microsoft.ML.Tokenizers/Token.xml index bd0528881..29fa7c470 100644 --- a/dotnet/xml/Microsoft.ML.Tokenizers/Token.xml +++ b/dotnet/xml/Microsoft.ML.Tokenizers/Token.xml @@ -47,11 +47,14 @@ - + - - + + + + + Property Microsoft.ML.Tokenizers @@ -62,35 +65,42 @@ - Gets or sets the Id value associated to the token. + Gets the Id value associated to the token. To be added. To be added. - + - - + + + + + Property Microsoft.ML.Tokenizers 1.0.0.0 - + [System.Runtime.CompilerServices.TupleElementNames(new System.String[] { "Index", "End" })] [<System.Runtime.CompilerServices.TupleElementNames(new System.String[] { "Index", "End" })>] + + [System.Runtime.CompilerServices.TupleElementNames(new System.String[] { "Index", "Length" })] + [<System.Runtime.CompilerServices.TupleElementNames(new System.String[] { "Index", "Length" })>] + System.ValueTuple<System.Int32,System.Int32> - Gets or sets the offset mapping to the original string. + Gets the offset mapping to the original string. To be added. To be added. @@ -112,7 +122,7 @@ - Gets or sets the token string value. + Gets the token string value. To be added. To be added. diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/Tokenizer.xml b/dotnet/xml/Microsoft.ML.Tokenizers/Tokenizer.xml index 8fa170da7..957a3e715 100644 --- a/dotnet/xml/Microsoft.ML.Tokenizers/Tokenizer.xml +++ b/dotnet/xml/Microsoft.ML.Tokenizers/Tokenizer.xml @@ -14,7 +14,7 @@ - A Tokenizer works as a pipeline. It processes some raw text as input and outputs a TokenizerResult object. + A Tokenizer works as a pipeline. It processes some raw text as input and outputs a EncodingResult object. To be added. @@ -31,9 +31,9 @@ 1.0.0.0 - - - + + + The Model in use by the Tokenizer. @@ -45,12 +45,74 @@ To be added. + + + + + + + Constructor + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + + + + + + + The Model in use by the Tokenizer. + The optional PreTokenizer in use by the Tokenizer. WhiteSpace PreTokenizer will be used if this parameter is null. + The optional Normalizer in use by the Tokenizer. + The optional Decoder in use by the Tokenizer during the decoding operation to merge the given list of tokens in a string. + + Create a new Tokenizer object. + + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + + + + The text to encode. + Indicate if want to consider the special tokens during the encoding. + + Get the number of tokens that the input text will be encoded to. + + The number of tokens Ids that the input text will be encoded to. + To be added. + The input text is null. + Unable to encode the text. + + - - + + - - + + + + + + Method Microsoft.ML.Tokenizers @@ -60,12 +122,14 @@ System.String - - + + + - The list of ids that we want to decode. Whether the special tokens should be removed from the decoded string. + The list of ids that we want to decode. + Whether the special tokens should be kept in the decoded string. Decode the given ids, back to a String. @@ -74,11 +138,15 @@ - - + + - - + + + + + + Method Microsoft.ML.Tokenizers @@ -88,12 +156,14 @@ System.String - - + + + - The id to map to the token. Indicate if want to skip the special tokens during the decoding. + The id to map to the token. + Indicate if want to consider the special tokens during the decoding. Decodes the Id to the mapped token. @@ -102,11 +172,14 @@ - + - - + + + + + Property Microsoft.ML.Tokenizers @@ -138,7 +211,7 @@ Microsoft.ML.Tokenizers.TokenizerResult - + The text to tokenize. @@ -149,6 +222,101 @@ To be added. + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.EncodingResult + + + + + + + The text to encode. + Indicate if want to consider the special tokens during the encoding. + + Encodes input text to object has the tokens list, tokens Ids, tokens offset mapping. + + The tokenization result includes the tokens list, tokens Ids, tokens offset mapping. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyList<System.Int32> + + + + + + + The text to encode. + Indicate if want to consider the special tokens during the encoding. + + Encodes input text to tokens Ids. + + The tokenization result includes the tokens list, tokens Ids, tokens offset mapping. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + + + + + + + The text to encode. + The maximum token count to limit the encoding capacity. + If the tokenizer's normalization is enabled, the input text will be represented in its normalization form; otherwise, it will remain unchanged as the input text. + The token count can be generated which should be smaller than the maximum token count. + Indicate if want to consider the special tokens during the encoding. + + Find the index of the maximum encoding capacity from the start within the text without surpassing the token limit. + + + The index of the maximum encoding capacity within the processed text without surpassing the token limit. + It represents the index immediately following the last character to be included. In cases where no tokens fit, the result will be 0; conversely, if all tokens fit, the result will be length of the . + + To be added. + The input text is null. + The maximum token count must be greater than 0. + + @@ -164,7 +332,7 @@ System.Boolean - + To be added. @@ -173,6 +341,47 @@ To be added. + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + + + + + + + The text to encode. + The maximum token count to limit the encoding capacity. + If the tokenizer's normalization is enabled, the input text will be represented in its normalization form; otherwise, it will remain unchanged as the input text. + The token count can be generated which should be smaller than the maximum token count. + Indicate if want to consider the special tokens during the encoding. + + Find the index of the maximum encoding capacity from the end within the text without surpassing the token limit. + + + The start index of the maximum encoding capacity within the processed text without surpassing the token limit. + It represents the index at the first character to be included. In cases where no tokens fit, the result will be length of the ; conversely, if all tokens fit, the result will be 0. + + + If the whole text can be encoded within the token limit, the returned index will be 0. + + The input text is null. + The maximum token count must be greater than 0. + + @@ -196,11 +405,14 @@ - + - - + + + + + Property Microsoft.ML.Tokenizers @@ -218,11 +430,14 @@ - + - - + + + + + Property Microsoft.ML.Tokenizers @@ -254,9 +469,9 @@ System.Void - - - + + + [System.ParamArray] diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/UpperCaseNormalizer.xml b/dotnet/xml/Microsoft.ML.Tokenizers/UpperCaseNormalizer.xml index 98c8cab6b..358da3470 100644 --- a/dotnet/xml/Microsoft.ML.Tokenizers/UpperCaseNormalizer.xml +++ b/dotnet/xml/Microsoft.ML.Tokenizers/UpperCaseNormalizer.xml @@ -38,18 +38,23 @@ - - + + - - + + + + + + Method Microsoft.ML.Tokenizers 1.0.0.0 - Microsoft.ML.Tokenizers.NormalizedString + Microsoft.ML.Tokenizers.NormalizedString + System.String diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/WhiteSpace.xml b/dotnet/xml/Microsoft.ML.Tokenizers/WhiteSpace.xml index d6ae35b87..151689a9e 100644 --- a/dotnet/xml/Microsoft.ML.Tokenizers/WhiteSpace.xml +++ b/dotnet/xml/Microsoft.ML.Tokenizers/WhiteSpace.xml @@ -57,6 +57,28 @@ To be added. + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.WhiteSpace + + + + Gets a singleton instance of the WhiteSpace pre-tokenizer.. + + To be added. + To be added. + + @@ -72,7 +94,7 @@ System.Collections.Generic.IReadOnlyList<Microsoft.ML.Tokenizers.Split> - + The string to split into tokens. @@ -83,5 +105,33 @@ To be added. + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IEnumerable<Microsoft.ML.Tokenizers.Split> + + + + + + + The string to split into tokens. + Indicates whether to consider the special tokens. + + Splits the given string in multiple substrings at the word boundary, keeping track of the offsets of said substrings from the original string. + + The list of the splits containing the tokens and the token's offsets to the original string. + To be added. + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.NasBert.Modules/IIncrementalState.xml b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert.Modules/IIncrementalState.xml index e46c8cc4c..1bdf927ba 100644 --- a/dotnet/xml/Microsoft.ML.TorchSharp.NasBert.Modules/IIncrementalState.xml +++ b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert.Modules/IIncrementalState.xml @@ -1,9 +1,10 @@ - + + Microsoft.ML.TorchSharp 1.0.0.0 diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/BertTaskType.xml b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/BertTaskType.xml index 31eba784a..6254bbaed 100644 --- a/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/BertTaskType.xml +++ b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/BertTaskType.xml @@ -68,11 +68,11 @@ 1.0.0.0 - + [System.ComponentModel.EditorBrowsable(System.ComponentModel.EditorBrowsableState.Never)] [<System.ComponentModel.EditorBrowsable(System.ComponentModel.EditorBrowsableState.Never)>] - + [System.Obsolete("Please use NamedEntityRecognition instead", false)] [<System.Obsolete("Please use NamedEntityRecognition instead", false)>] diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NasBertTrainer.xml b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NasBertTrainer.xml index 7aceb904e..30cd4f849 100644 --- a/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NasBertTrainer.xml +++ b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NasBertTrainer.xml @@ -1,9 +1,13 @@ - - + + - - + + + + + + Microsoft.ML.TorchSharp 1.0.0.0 @@ -12,6 +16,9 @@ System.Object + + Microsoft.ML.IEstimator<Microsoft.ML.TorchSharp.NasBert.NasBertTransformer> + To be added. @@ -19,10 +26,13 @@ - - + + - + + + + Constructor Microsoft.ML.TorchSharp @@ -34,5 +44,59 @@ To be added. + + + + + + + Method + + M:Microsoft.ML.IEstimator`1.Fit(Microsoft.ML.IDataView) + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.TorchSharp.NasBert.NasBertTransformer + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + M:Microsoft.ML.IEstimator`1.GetOutputSchema(Microsoft.ML.SchemaShape) + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.SchemaShape + + + + + + To be added. + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NasBertTrainer`2.xml b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NasBertTrainer`2.xml index 46c2ad6e8..b4735db98 100644 --- a/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NasBertTrainer`2.xml +++ b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NasBertTrainer`2.xml @@ -1,9 +1,13 @@ - - + + - - + + + + + + Microsoft.ML.TorchSharp 1.0.0.0 @@ -14,6 +18,7 @@ Microsoft.ML.TorchSharp.TorchSharpBaseTrainer<TLabelCol,TTargetsCol> + Microsoft.ML.TorchSharp.NasBert.NasBertTrainer TLabelCol TTargetsCol @@ -27,6 +32,30 @@ To be added. + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.TorchSharp.NasBert.NasBertTransformer + + + + + + To be added. + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NasBertTransformer.xml b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NasBertTransformer.xml new file mode 100644 index 000000000..466649077 --- /dev/null +++ b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NasBertTransformer.xml @@ -0,0 +1,20 @@ + + + + + + + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.Data.RowToRowTransformerBase + + + + To be added. + To be added. + + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NasBertTransformer`2.xml b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NasBertTransformer`2.xml index 91ce43aa9..3c4a9a189 100644 --- a/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NasBertTransformer`2.xml +++ b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NasBertTransformer`2.xml @@ -1,9 +1,13 @@ - - + + - - + + + + + + Microsoft.ML.TorchSharp 1.0.0.0 @@ -14,6 +18,7 @@ Microsoft.ML.TorchSharp.TorchSharpBaseTransformer<TLabelCol,TTargetsCol> + Microsoft.ML.TorchSharp.NasBert.NasBertTransformer TLabelCol TTargetsCol @@ -27,6 +32,49 @@ To be added. + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.SchemaShape + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Field + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + Microsoft.ML.DataViewSchema+DetachedColumn + + + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.Roberta/QATrainer+Options.xml b/dotnet/xml/Microsoft.ML.TorchSharp.Roberta/QATrainer+Options.xml index 459d53d0a..c0833f536 100644 --- a/dotnet/xml/Microsoft.ML.TorchSharp.Roberta/QATrainer+Options.xml +++ b/dotnet/xml/Microsoft.ML.TorchSharp.Roberta/QATrainer+Options.xml @@ -154,7 +154,7 @@ - Number of top predicted answers in question answering task. + Number of top predicted answers in question answering task. To be added. diff --git a/dotnet/xml/Microsoft.ML.TorchSharp/TorchSharpCatalog.xml b/dotnet/xml/Microsoft.ML.TorchSharp/TorchSharpCatalog.xml index e2fb13900..02d203669 100644 --- a/dotnet/xml/Microsoft.ML.TorchSharp/TorchSharpCatalog.xml +++ b/dotnet/xml/Microsoft.ML.TorchSharp/TorchSharpCatalog.xml @@ -36,13 +36,13 @@ Microsoft.ML.TorchSharp.AutoFormerV2.ObjectDetectionMetrics - - - - - - - + + + + + + + The transform's catalog. @@ -74,8 +74,8 @@ Microsoft.ML.TorchSharp.NasBert.NerTrainer - - + + The transform's catalog. @@ -102,14 +102,14 @@ Microsoft.ML.TorchSharp.NasBert.NerTrainer - - - - - - - - + + + + + + + + The transform's catalog. @@ -141,11 +141,11 @@ 1.0.0.0 - + [System.ComponentModel.EditorBrowsable(System.ComponentModel.EditorBrowsableState.Never)] [<System.ComponentModel.EditorBrowsable(System.ComponentModel.EditorBrowsableState.Never)>] - + [System.Obsolete("Please use NamedEntityRecognition method instead", false)] [<System.Obsolete("Please use NamedEntityRecognition method instead", false)>] @@ -154,8 +154,8 @@ Microsoft.ML.TorchSharp.NasBert.NerTrainer - - + + The transform's catalog. @@ -179,11 +179,11 @@ 1.0.0.0 - + [System.ComponentModel.EditorBrowsable(System.ComponentModel.EditorBrowsableState.Never)] [<System.ComponentModel.EditorBrowsable(System.ComponentModel.EditorBrowsableState.Never)>] - + [System.Obsolete("Please use NamedEntityRecognition method instead", false)] [<System.Obsolete("Please use NamedEntityRecognition method instead", false)>] @@ -192,14 +192,14 @@ Microsoft.ML.TorchSharp.NasBert.NerTrainer - - - - - - - - + + + + + + + + The transform's catalog. @@ -232,8 +232,8 @@ Microsoft.ML.TorchSharp.AutoFormerV2.ObjectDetectionTrainer - - + + The transform's catalog. @@ -260,14 +260,14 @@ Microsoft.ML.TorchSharp.AutoFormerV2.ObjectDetectionTrainer - - - - - - - - + + + + + + + + The transform's catalog. @@ -300,8 +300,8 @@ Microsoft.ML.TorchSharp.Roberta.QATrainer - - + + The transform's catalog. @@ -330,18 +330,18 @@ Microsoft.ML.TorchSharp.Roberta.QATrainer - - - - - - - - - - - - + + + + + + + + + + + + The transform's catalog. @@ -380,8 +380,8 @@ Microsoft.ML.TorchSharp.NasBert.SentenceSimilarityTrainer - - + + The transform's catalog. @@ -454,8 +454,8 @@ Microsoft.ML.TorchSharp.NasBert.TextClassificationTrainer - - + + The transform's catalog. diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestBinaryTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestBinaryTrainer.xml index f8323eb1b..625008d74 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestBinaryTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestBinaryTrainer.xml @@ -40,9 +40,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-fastforest.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestRegressionTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestRegressionTrainer.xml index dd66a1e90..dbee4d909 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestRegressionTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestRegressionTrainer.xml @@ -40,9 +40,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-fastforest.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeBinaryTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeBinaryTrainer.xml index 252d7f279..29fedb89e 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeBinaryTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeBinaryTrainer.xml @@ -40,9 +40,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-fasttree.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRankingTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRankingTrainer.xml index d523f045f..dd2d9564c 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRankingTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRankingTrainer.xml @@ -40,9 +40,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-fasttree.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRegressionTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRegressionTrainer.xml index 827209a76..20c4b0d97 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRegressionTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRegressionTrainer.xml @@ -40,9 +40,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-fasttree.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeTweedieTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeTweedieTrainer.xml index 222a118ee..5e4ccb7fa 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeTweedieTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeTweedieTrainer.xml @@ -48,9 +48,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamBinaryTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamBinaryTrainer.xml index 80e087835..16d24117e 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamBinaryTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamBinaryTrainer.xml @@ -40,9 +40,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-gam.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamRegressionTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamRegressionTrainer.xml index b2ec64183..961bfb007 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamRegressionTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamRegressionTrainer.xml @@ -40,9 +40,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-gam.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmBinaryTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmBinaryTrainer.xml index 1e395805e..aa610a8bc 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmBinaryTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmBinaryTrainer.xml @@ -41,8 +41,8 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-lightgbm.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmMulticlassTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmMulticlassTrainer.xml index 45c4c9228..7ecf6ea2b 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmMulticlassTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmMulticlassTrainer.xml @@ -41,9 +41,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-lightgbm.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRankingTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRankingTrainer.xml index 84298efc1..b6d25114f 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRankingTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRankingTrainer.xml @@ -41,9 +41,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-lightgbm.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRegressionTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRegressionTrainer.xml index fb3a1d82d..3247ba90e 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRegressionTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRegressionTrainer.xml @@ -41,9 +41,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-lightgbm.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/AveragedLinearOptions.xml b/dotnet/xml/Microsoft.ML.Trainers/AveragedLinearOptions.xml index c9bb16b46..cc8bbfb9c 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/AveragedLinearOptions.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/AveragedLinearOptions.xml @@ -72,7 +72,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.BooleanChoice] [<Microsoft.ML.SearchSpace.BooleanChoice>] @@ -103,7 +103,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(0, 32768, 0, false)] [<Microsoft.ML.SearchSpace.Range(0, 32768, 0, false)>] @@ -156,7 +156,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(0.0001, 1, 1, true)] [<Microsoft.ML.SearchSpace.Range(0.0001, 1, 1, true)>] diff --git a/dotnet/xml/Microsoft.ML.Trainers/AveragedPerceptronTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/AveragedPerceptronTrainer.xml index 2b4d20170..f993d7c05 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/AveragedPerceptronTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/AveragedPerceptronTrainer.xml @@ -58,9 +58,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/FieldAwareFactorizationMachineTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/FieldAwareFactorizationMachineTrainer.xml index 8031db54c..34de1ec04 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/FieldAwareFactorizationMachineTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/FieldAwareFactorizationMachineTrainer.xml @@ -72,10 +72,10 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/ICalculateFeatureContribution.xml b/dotnet/xml/Microsoft.ML.Trainers/ICalculateFeatureContribution.xml index caf77fdd9..1bd1290cd 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/ICalculateFeatureContribution.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/ICalculateFeatureContribution.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/IClassificationLoss.xml b/dotnet/xml/Microsoft.ML.Trainers/IClassificationLoss.xml index 78335cf3c..a897a3393 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/IClassificationLoss.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/IClassificationLoss.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/ILossFunction`2.xml b/dotnet/xml/Microsoft.ML.Trainers/ILossFunction`2.xml index 90738afab..da6f27292 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/ILossFunction`2.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/ILossFunction`2.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/IRegressionLoss.xml b/dotnet/xml/Microsoft.ML.Trainers/IRegressionLoss.xml index c1a6ab9d8..4d037c93e 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/IRegressionLoss.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/IRegressionLoss.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/IScalarLoss.xml b/dotnet/xml/Microsoft.ML.Trainers/IScalarLoss.xml index 99cae97f5..e70e351e3 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/IScalarLoss.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/IScalarLoss.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/ISupportSdcaClassificationLoss.xml b/dotnet/xml/Microsoft.ML.Trainers/ISupportSdcaClassificationLoss.xml index 3344ec285..a9cb03d71 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/ISupportSdcaClassificationLoss.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/ISupportSdcaClassificationLoss.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/ISupportSdcaLoss.xml b/dotnet/xml/Microsoft.ML.Trainers/ISupportSdcaLoss.xml index ba39d8a68..4ddfbd0fb 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/ISupportSdcaLoss.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/ISupportSdcaLoss.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/ISupportSdcaRegressionLoss.xml b/dotnet/xml/Microsoft.ML.Trainers/ISupportSdcaRegressionLoss.xml index 62803ccf0..9de39d2ee 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/ISupportSdcaRegressionLoss.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/ISupportSdcaRegressionLoss.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/ITrainerEstimator`2.xml b/dotnet/xml/Microsoft.ML.Trainers/ITrainerEstimator`2.xml index 70bed03d6..abe127096 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/ITrainerEstimator`2.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/ITrainerEstimator`2.xml @@ -1,9 +1,9 @@ - - + + - + @@ -45,7 +45,7 @@ - + Property diff --git a/dotnet/xml/Microsoft.ML.Trainers/LbfgsLogisticRegressionBinaryTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/LbfgsLogisticRegressionBinaryTrainer.xml index 2e94b4ec5..663dc7186 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/LbfgsLogisticRegressionBinaryTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/LbfgsLogisticRegressionBinaryTrainer.xml @@ -66,9 +66,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/LbfgsMaximumEntropyMulticlassTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/LbfgsMaximumEntropyMulticlassTrainer.xml index 135253a16..7a633436a 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/LbfgsMaximumEntropyMulticlassTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/LbfgsMaximumEntropyMulticlassTrainer.xml @@ -61,9 +61,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/LbfgsPoissonRegressionTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/LbfgsPoissonRegressionTrainer.xml index e9c2a26a8..1667ef9f4 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/LbfgsPoissonRegressionTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/LbfgsPoissonRegressionTrainer.xml @@ -45,9 +45,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/LbfgsTrainerBase`3+OptionsBase.xml b/dotnet/xml/Microsoft.ML.Trainers/LbfgsTrainerBase`3+OptionsBase.xml index 14433f0bd..c35470114 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/LbfgsTrainerBase`3+OptionsBase.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/LbfgsTrainerBase`3+OptionsBase.xml @@ -65,7 +65,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.BooleanChoice] [<Microsoft.ML.SearchSpace.BooleanChoice>] @@ -92,7 +92,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.BooleanChoice] [<Microsoft.ML.SearchSpace.BooleanChoice>] @@ -119,7 +119,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(2, 512, 2, true)] [<Microsoft.ML.SearchSpace.Range(2, 512, 2, true)>] @@ -146,7 +146,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(0, 1, 0, false)] [<Microsoft.ML.SearchSpace.Range(0, 1, 0, false)>] @@ -177,7 +177,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(0.03125, 32768, 1, true)] [<Microsoft.ML.SearchSpace.Range(0.03125, 32768, 1, true)>] @@ -204,7 +204,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(0.03125, 32768, 1, true)] [<Microsoft.ML.SearchSpace.Range(0.03125, 32768, 1, true)>] @@ -231,7 +231,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(1, 2147483647, 1, true)] [<Microsoft.ML.SearchSpace.Range(1, 2147483647, 1, true)>] @@ -279,7 +279,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(1E-07, 0.1, 0.0001, true)] [<Microsoft.ML.SearchSpace.Range(1E-07, 0.1, 0.0001, true)>] diff --git a/dotnet/xml/Microsoft.ML.Trainers/LdSvmTrainer+Options.xml b/dotnet/xml/Microsoft.ML.Trainers/LdSvmTrainer+Options.xml index 4ae213af9..e1f83dd7f 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/LdSvmTrainer+Options.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/LdSvmTrainer+Options.xml @@ -64,7 +64,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(0.0001, 1, 0.0001, true)] [<Microsoft.ML.SearchSpace.Range(0.0001, 1, 0.0001, true)>] @@ -91,7 +91,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(0.0001, 1, 0.0001, true)] [<Microsoft.ML.SearchSpace.Range(0.0001, 1, 0.0001, true)>] @@ -118,7 +118,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(0.0001, 1, 0.0001, true)] [<Microsoft.ML.SearchSpace.Range(0.0001, 1, 0.0001, true)>] @@ -145,7 +145,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(1, 2147483647, 1, true)] [<Microsoft.ML.SearchSpace.Range(1, 2147483647, 1, true)>] @@ -172,7 +172,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(0.0001, 1, 0.0001, true)] [<Microsoft.ML.SearchSpace.Range(0.0001, 1, 0.0001, true)>] @@ -199,7 +199,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(1, 128, 1, true)] [<Microsoft.ML.SearchSpace.Range(1, 128, 1, true)>] @@ -226,7 +226,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.BooleanChoice(true)] [<Microsoft.ML.SearchSpace.BooleanChoice(true)>] diff --git a/dotnet/xml/Microsoft.ML.Trainers/LdSvmTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/LdSvmTrainer.xml index ad398a5bd..3d7e005f6 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/LdSvmTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/LdSvmTrainer.xml @@ -51,8 +51,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/LinearSvmTrainer+Options.xml b/dotnet/xml/Microsoft.ML.Trainers/LinearSvmTrainer+Options.xml index 2cf0b8a4c..ff73397e6 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/LinearSvmTrainer+Options.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/LinearSvmTrainer+Options.xml @@ -48,7 +48,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(1, 128, 1, true)] [<Microsoft.ML.SearchSpace.Range(1, 128, 1, true)>] @@ -94,7 +94,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(1E-06, 1, 0.0001, true)] [<Microsoft.ML.SearchSpace.Range(1E-06, 1, 0.0001, true)>] @@ -119,7 +119,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.BooleanChoice(false)] [<Microsoft.ML.SearchSpace.BooleanChoice(false)>] @@ -144,7 +144,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.BooleanChoice(false)] [<Microsoft.ML.SearchSpace.BooleanChoice(false)>] diff --git a/dotnet/xml/Microsoft.ML.Trainers/LinearSvmTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/LinearSvmTrainer.xml index 9181b901d..548ad158c 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/LinearSvmTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/LinearSvmTrainer.xml @@ -50,8 +50,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/MatrixFactorizationTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/MatrixFactorizationTrainer.xml index 2e6453490..5ef96189d 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/MatrixFactorizationTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/MatrixFactorizationTrainer.xml @@ -107,9 +107,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/NaiveBayesMulticlassModelParameters.xml b/dotnet/xml/Microsoft.ML.Trainers/NaiveBayesMulticlassModelParameters.xml index 27f70238d..8d3fdae74 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/NaiveBayesMulticlassModelParameters.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/NaiveBayesMulticlassModelParameters.xml @@ -34,7 +34,7 @@ 1.0.0.0 - + [System.Obsolete("This API is deprecated, please use GetFeatureHistogramLong() which returns _featureHistogram with type IReadOnlyList<long> to avoid overflow errors with large datasets.", true)] [<System.Obsolete("This API is deprecated, please use GetFeatureHistogramLong() which returns _featureHistogram with type IReadOnlyList<long> to avoid overflow errors with large datasets.", true)>] @@ -86,7 +86,7 @@ 1.0.0.0 - + [System.Obsolete("This API is deprecated, please use GetLabelHistogramLong() which returns _labelHistogram with type IReadOnlyList<long> to avoid overflow errors with large datasets.", true)] [<System.Obsolete("This API is deprecated, please use GetLabelHistogramLong() which returns _labelHistogram with type IReadOnlyList<long> to avoid overflow errors with large datasets.", true)>] diff --git a/dotnet/xml/Microsoft.ML.Trainers/OlsTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/OlsTrainer.xml index b30ba1943..864f4b598 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/OlsTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/OlsTrainer.xml @@ -45,9 +45,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/OnlineGradientDescentTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/OnlineGradientDescentTrainer.xml index 50b7d3b22..8a7d3f654 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/OnlineGradientDescentTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/OnlineGradientDescentTrainer.xml @@ -45,9 +45,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/OnlineLinearOptions.xml b/dotnet/xml/Microsoft.ML.Trainers/OnlineLinearOptions.xml index b9ead1124..1c8b56eee 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/OnlineLinearOptions.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/OnlineLinearOptions.xml @@ -47,7 +47,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(0, 1, 0, false)] [<Microsoft.ML.SearchSpace.Range(0, 1, 0, false)>] @@ -78,7 +78,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(1, 512, 1, true)] [<Microsoft.ML.SearchSpace.Range(1, 512, 1, true)>] diff --git a/dotnet/xml/Microsoft.ML.Trainers/RandomizedPcaTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/RandomizedPcaTrainer.xml index 9b36374d6..00aacf60b 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/RandomizedPcaTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/RandomizedPcaTrainer.xml @@ -60,9 +60,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SdcaLogisticRegressionBinaryTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/SdcaLogisticRegressionBinaryTrainer.xml index 8bbcc16a4..575376c5f 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SdcaLogisticRegressionBinaryTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SdcaLogisticRegressionBinaryTrainer.xml @@ -44,9 +44,9 @@ [!include[references](~/../docs/samples/docs/api-reference/algo-details-sdca-refs.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SdcaMaximumEntropyMulticlassTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/SdcaMaximumEntropyMulticlassTrainer.xml index 1bd0ecf35..09cce5fb4 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SdcaMaximumEntropyMulticlassTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SdcaMaximumEntropyMulticlassTrainer.xml @@ -49,9 +49,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SdcaMulticlassTrainerBase`1.xml b/dotnet/xml/Microsoft.ML.Trainers/SdcaMulticlassTrainerBase`1.xml index 87a191e7b..e5caa696d 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SdcaMulticlassTrainerBase`1.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SdcaMulticlassTrainerBase`1.xml @@ -72,12 +72,12 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedBinaryTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedBinaryTrainer.xml index 242cf8581..ee81fc3ba 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedBinaryTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedBinaryTrainer.xml @@ -42,9 +42,9 @@ [!include[references](~/../docs/samples/docs/api-reference/algo-details-sdca-refs.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedMulticlassTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedMulticlassTrainer.xml index 6d61d27af..5ea6bcdd3 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedMulticlassTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedMulticlassTrainer.xml @@ -49,9 +49,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SdcaRegressionTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/SdcaRegressionTrainer.xml index c6621cbfb..ebef8cc02 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SdcaRegressionTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SdcaRegressionTrainer.xml @@ -44,9 +44,9 @@ [!include[references](~/../docs/samples/docs/api-reference/algo-details-sdca-refs.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SdcaTrainerBase`3+OptionsBase.xml b/dotnet/xml/Microsoft.ML.Trainers/SdcaTrainerBase`3+OptionsBase.xml index fbd0f31a8..5b3525aa9 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SdcaTrainerBase`3+OptionsBase.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SdcaTrainerBase`3+OptionsBase.xml @@ -49,7 +49,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(1E-07, 1, 1E-07, true)] [<Microsoft.ML.SearchSpace.Range(1E-07, 1, 1E-07, true)>] @@ -100,7 +100,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(1E-07, 1, 1E-07, true)] [<Microsoft.ML.SearchSpace.Range(1E-07, 1, 1E-07, true)>] @@ -127,7 +127,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(1E-07, 32768, 1E-07, true)] [<Microsoft.ML.SearchSpace.Range(1E-07, 32768, 1E-07, true)>] @@ -154,7 +154,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(1E-07, 32768, 1E-07, true)] [<Microsoft.ML.SearchSpace.Range(1E-07, 32768, 1E-07, true)>] @@ -181,7 +181,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(10, 1000, 10, true)] [<Microsoft.ML.SearchSpace.Range(10, 1000, 10, true)>] diff --git a/dotnet/xml/Microsoft.ML.Trainers/SgdBinaryTrainerBase`1+OptionsBase.xml b/dotnet/xml/Microsoft.ML.Trainers/SgdBinaryTrainerBase`1+OptionsBase.xml index 705b90bc1..d0b1623ef 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SgdBinaryTrainerBase`1+OptionsBase.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SgdBinaryTrainerBase`1+OptionsBase.xml @@ -76,7 +76,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(1E-06, 0.1, 0.1, true)] [<Microsoft.ML.SearchSpace.Range(1E-06, 0.1, 0.1, true)>] @@ -104,7 +104,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(0.03125, 32768, 1, true)] [<Microsoft.ML.SearchSpace.Range(0.03125, 32768, 1, true)>] @@ -131,7 +131,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(0.001, 1, 0.001, true)] [<Microsoft.ML.SearchSpace.Range(0.001, 1, 0.001, true)>] @@ -158,7 +158,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(1, 20, 1, true)] [<Microsoft.ML.SearchSpace.Range(1, 20, 1, true)>] diff --git a/dotnet/xml/Microsoft.ML.Trainers/SgdCalibratedTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/SgdCalibratedTrainer.xml index 1aabf54c9..359194997 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SgdCalibratedTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SgdCalibratedTrainer.xml @@ -40,9 +40,9 @@ [!include[io](~/../docs/samples/docs/api-reference/algo-details-sgd.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SgdNonCalibratedTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/SgdNonCalibratedTrainer.xml index c31b2f36e..09f0d24e5 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SgdNonCalibratedTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SgdNonCalibratedTrainer.xml @@ -38,9 +38,9 @@ [!include[io](~/../docs/samples/docs/api-reference/algo-details-sgd.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SymbolicSgdLogisticRegressionBinaryTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/SymbolicSgdLogisticRegressionBinaryTrainer.xml index b36b5dd88..f141c13fd 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SymbolicSgdLogisticRegressionBinaryTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SymbolicSgdLogisticRegressionBinaryTrainer.xml @@ -51,9 +51,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms.Onnx/OnnxSequenceTypeAttribute.xml b/dotnet/xml/Microsoft.ML.Transforms.Onnx/OnnxSequenceTypeAttribute.xml index 44c61aa6b..cf537bd03 100644 --- a/dotnet/xml/Microsoft.ML.Transforms.Onnx/OnnxSequenceTypeAttribute.xml +++ b/dotnet/xml/Microsoft.ML.Transforms.Onnx/OnnxSequenceTypeAttribute.xml @@ -33,11 +33,11 @@ 1.0.0.0 - + [System.ComponentModel.EditorBrowsable(System.ComponentModel.EditorBrowsableState.Never)] [<System.ComponentModel.EditorBrowsable(System.ComponentModel.EditorBrowsableState.Never)>] - + [System.Obsolete("Please specify sequence type when use OnnxSequenceType Attribute", false)] [<System.Obsolete("Please specify sequence type when use OnnxSequenceType Attribute", false)>] diff --git a/dotnet/xml/Microsoft.ML.Transforms.Onnx/OnnxTransformer.xml b/dotnet/xml/Microsoft.ML.Transforms.Onnx/OnnxTransformer.xml index 71a62dda7..7c07d8a16 100644 --- a/dotnet/xml/Microsoft.ML.Transforms.Onnx/OnnxTransformer.xml +++ b/dotnet/xml/Microsoft.ML.Transforms.Onnx/OnnxTransformer.xml @@ -1,9 +1,9 @@ - - + + - - + + @@ -16,7 +16,7 @@ Microsoft.ML.Data.RowToRowTransformerBase - + System.IDisposable diff --git a/dotnet/xml/Microsoft.ML.Transforms.Text/IStopWordsRemoverOptions.xml b/dotnet/xml/Microsoft.ML.Transforms.Text/IStopWordsRemoverOptions.xml index 9a49512b9..f424898c8 100644 --- a/dotnet/xml/Microsoft.ML.Transforms.Text/IStopWordsRemoverOptions.xml +++ b/dotnet/xml/Microsoft.ML.Transforms.Text/IStopWordsRemoverOptions.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Transforms.Text/LatentDirichletAllocationTransformer.xml b/dotnet/xml/Microsoft.ML.Transforms.Text/LatentDirichletAllocationTransformer.xml index df55b4248..ce2ae18b3 100644 --- a/dotnet/xml/Microsoft.ML.Transforms.Text/LatentDirichletAllocationTransformer.xml +++ b/dotnet/xml/Microsoft.ML.Transforms.Text/LatentDirichletAllocationTransformer.xml @@ -60,21 +60,21 @@ - - - - - + + + + + Method Microsoft.ML.Transforms 1.0.0.0 - Microsoft.ML.Transforms.Text.LatentDirichletAllocationTransformer+ModelParameters + Microsoft.ML.Transforms.Text.LatentDirichletAllocationTransformer+ModelParameters - + index of column options pair diff --git a/dotnet/xml/Microsoft.ML.Transforms.Text/TextFeaturizingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms.Text/TextFeaturizingEstimator.xml index 540a3fb1c..7b4069a55 100644 --- a/dotnet/xml/Microsoft.ML.Transforms.Text/TextFeaturizingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms.Text/TextFeaturizingEstimator.xml @@ -48,8 +48,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms.Text/WordBagEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms.Text/WordBagEstimator.xml index 55f823165..08d67c0f8 100644 --- a/dotnet/xml/Microsoft.ML.Transforms.Text/WordBagEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms.Text/WordBagEstimator.xml @@ -40,8 +40,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms.Text/WordEmbeddingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms.Text/WordEmbeddingEstimator.xml index 8cedabcc4..b32dbb323 100644 --- a/dotnet/xml/Microsoft.ML.Transforms.Text/WordEmbeddingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms.Text/WordEmbeddingEstimator.xml @@ -48,8 +48,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms.Text/WordHashBagEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms.Text/WordHashBagEstimator.xml index 3fce04c9c..9d06e6361 100644 --- a/dotnet/xml/Microsoft.ML.Transforms.Text/WordHashBagEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms.Text/WordHashBagEstimator.xml @@ -40,8 +40,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms.TimeSeries/PredictionFunctionExtensions.xml b/dotnet/xml/Microsoft.ML.Transforms.TimeSeries/PredictionFunctionExtensions.xml index c7aa24880..17ce8fa7c 100644 --- a/dotnet/xml/Microsoft.ML.Transforms.TimeSeries/PredictionFunctionExtensions.xml +++ b/dotnet/xml/Microsoft.ML.Transforms.TimeSeries/PredictionFunctionExtensions.xml @@ -45,9 +45,9 @@ - - - + + + Class describing input schema to the model. diff --git a/dotnet/xml/Microsoft.ML.Transforms/ColumnSelectingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/ColumnSelectingEstimator.xml index e96e57c5d..2e152dc64 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/ColumnSelectingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/ColumnSelectingEstimator.xml @@ -41,9 +41,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/CountFeatureSelectingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/CountFeatureSelectingEstimator.xml index d7ea211df..b9817eae0 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/CountFeatureSelectingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/CountFeatureSelectingEstimator.xml @@ -61,8 +61,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/FeatureContributionCalculatingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/FeatureContributionCalculatingEstimator.xml index b8db167e0..4f363d703 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/FeatureContributionCalculatingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/FeatureContributionCalculatingEstimator.xml @@ -79,8 +79,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/HashingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/HashingEstimator.xml index aa1d9ffbb..22ae91682 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/HashingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/HashingEstimator.xml @@ -35,8 +35,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/IFunctionProvider.xml b/dotnet/xml/Microsoft.ML.Transforms/IFunctionProvider.xml index 1ff9328b7..e3fedef55 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/IFunctionProvider.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/IFunctionProvider.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/KeyToValueMappingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/KeyToValueMappingEstimator.xml index 7976a6572..b08810c07 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/KeyToValueMappingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/KeyToValueMappingEstimator.xml @@ -33,8 +33,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/KeyToVectorMappingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/KeyToVectorMappingEstimator.xml index 412c64df3..6189add8a 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/KeyToVectorMappingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/KeyToVectorMappingEstimator.xml @@ -36,8 +36,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/MissingValueIndicatorEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/MissingValueIndicatorEstimator.xml index 247325059..1479e1470 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/MissingValueIndicatorEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/MissingValueIndicatorEstimator.xml @@ -35,8 +35,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/MissingValueReplacingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/MissingValueReplacingEstimator.xml index 3b9f9d363..ac4e8f1ae 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/MissingValueReplacingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/MissingValueReplacingEstimator.xml @@ -37,8 +37,8 @@ Check the See Also section for links of usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/MutualInformationFeatureSelectingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/MutualInformationFeatureSelectingEstimator.xml index 18ce498f2..37bbd8465 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/MutualInformationFeatureSelectingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/MutualInformationFeatureSelectingEstimator.xml @@ -65,8 +65,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/OneHotEncodingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/OneHotEncodingEstimator.xml index 34a2092a2..8f1d878ab 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/OneHotEncodingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/OneHotEncodingEstimator.xml @@ -65,8 +65,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/OneHotHashEncodingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/OneHotHashEncodingEstimator.xml index a81eb32b7..7c254fc10 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/OneHotHashEncodingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/OneHotHashEncodingEstimator.xml @@ -64,8 +64,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/TensorFlowModel.xml b/dotnet/xml/Microsoft.ML.Transforms/TensorFlowModel.xml index ad44d6e38..00dc4177d 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/TensorFlowModel.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/TensorFlowModel.xml @@ -1,9 +1,9 @@ - - + + - - + + @@ -16,7 +16,7 @@ System.Object - + System.IDisposable @@ -173,8 +173,8 @@ - The name of the requested model output. The data type is a vector of The name of the model input. The data type is a vector of . + The name of the requested model output. The data type is a vector of Add a batch dimension to the input e.g. input = [224, 224, 3] => [-1, 224, 224, 3]. This parameter is used to deal with models that have unknown shape but the internal operators in the model require data to have batch dimension as well. @@ -209,8 +209,8 @@ - The names of the requested model outputs. The names of the model inputs. + The names of the requested model outputs. Add a batch dimension to the input e.g. input = [224, 224, 3] => [-1, 224, 224, 3]. This parameter is used to deal with models that have unknown shape but the internal operators in the model require data to have batch dimension as well. diff --git a/dotnet/xml/Microsoft.ML.Transforms/TensorFlowTransformer.xml b/dotnet/xml/Microsoft.ML.Transforms/TensorFlowTransformer.xml index bc67bfe22..6d761e599 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/TensorFlowTransformer.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/TensorFlowTransformer.xml @@ -1,9 +1,9 @@ - - + + - - + + @@ -16,7 +16,7 @@ Microsoft.ML.Data.RowToRowTransformerBase - + System.IDisposable diff --git a/dotnet/xml/Microsoft.ML.Transforms/TypeConvertingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/TypeConvertingEstimator.xml index a11450241..73b1bef48 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/TypeConvertingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/TypeConvertingEstimator.xml @@ -34,8 +34,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/ValueToKeyMappingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/ValueToKeyMappingEstimator.xml index 4d144c382..67c2bb5e7 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/ValueToKeyMappingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/ValueToKeyMappingEstimator.xml @@ -48,8 +48,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Vision/ImageClassificationModelParameters.xml b/dotnet/xml/Microsoft.ML.Vision/ImageClassificationModelParameters.xml index c9967e4eb..92e36ce65 100644 --- a/dotnet/xml/Microsoft.ML.Vision/ImageClassificationModelParameters.xml +++ b/dotnet/xml/Microsoft.ML.Vision/ImageClassificationModelParameters.xml @@ -1,9 +1,9 @@ - - + + - - + + @@ -19,7 +19,7 @@ - + System.IDisposable diff --git a/dotnet/xml/Microsoft.ML/AnomalyDetectionCatalog.xml b/dotnet/xml/Microsoft.ML/AnomalyDetectionCatalog.xml index d622e0968..577a28a26 100644 --- a/dotnet/xml/Microsoft.ML/AnomalyDetectionCatalog.xml +++ b/dotnet/xml/Microsoft.ML/AnomalyDetectionCatalog.xml @@ -42,8 +42,8 @@ - - + + To be added. diff --git a/dotnet/xml/Microsoft.ML/ClusteringCatalog.xml b/dotnet/xml/Microsoft.ML/ClusteringCatalog.xml index f31f03e7b..2e73f95c3 100644 --- a/dotnet/xml/Microsoft.ML/ClusteringCatalog.xml +++ b/dotnet/xml/Microsoft.ML/ClusteringCatalog.xml @@ -84,9 +84,9 @@ The scored data. + The name of the score column in . The name of the optional label column in . If present, the metric will be computed. - The name of the score column in . The name of the optional features column in . If present, the metric will be computed. diff --git a/dotnet/xml/Microsoft.ML/ConversionsExtensionsCatalog.xml b/dotnet/xml/Microsoft.ML/ConversionsExtensionsCatalog.xml index d8c869e1c..5ecf734d9 100644 --- a/dotnet/xml/Microsoft.ML/ConversionsExtensionsCatalog.xml +++ b/dotnet/xml/Microsoft.ML/ConversionsExtensionsCatalog.xml @@ -94,24 +94,24 @@ - - - - - + + + + + Method Microsoft.ML.Data 1.0.0.0 - Microsoft.ML.Transforms.HashingEstimator + Microsoft.ML.Transforms.HashingEstimator - - + + - + [System.ParamArray] [<System.ParamArray>] diff --git a/dotnet/xml/Microsoft.ML/CustomMappingCatalog.xml b/dotnet/xml/Microsoft.ML/CustomMappingCatalog.xml index b553b6060..f1e249cba 100644 --- a/dotnet/xml/Microsoft.ML/CustomMappingCatalog.xml +++ b/dotnet/xml/Microsoft.ML/CustomMappingCatalog.xml @@ -108,9 +108,9 @@ - - - + + + The class defining which columns to take from the incoming data. @@ -153,10 +153,10 @@ - - - - + + + + The class defining which columns to take from the incoming data. @@ -208,15 +208,15 @@ - - - - + + + + The class defining which columns to take from the incoming data. - The class defining which new columns are added to the data. The type that describes per-cursor state. + The class defining which new columns are added to the data. The transform catalog. The mapping action. In addition to the input and output objects, the action is given a state object that it can look at and/or modify. If the resulting transformer needs to be save-able, the class defining should implement diff --git a/dotnet/xml/Microsoft.ML/FactorizationMachineExtensions.xml b/dotnet/xml/Microsoft.ML/FactorizationMachineExtensions.xml index f8014da2a..15c33c800 100644 --- a/dotnet/xml/Microsoft.ML/FactorizationMachineExtensions.xml +++ b/dotnet/xml/Microsoft.ML/FactorizationMachineExtensions.xml @@ -75,8 +75,8 @@ The binary classification catalog trainer object. - The name of the feature column. The column data must be a known-sized vector of . The name of the label column. The column data must be . + The name of the feature column. The column data must be a known-sized vector of . The name of the example weight column (optional). Create , which predicts a target using a field-aware factorization machine trained over boolean label data. @@ -114,8 +114,8 @@ The binary classification catalog trainer object. - The names of the feature columns. The column data must be a known-sized vector of . The name of the label column. The column data must be . + The names of the feature columns. The column data must be a known-sized vector of . The name of the example weight column (optional). Create , which predicts a target using a field-aware factorization machine trained over boolean label data. diff --git a/dotnet/xml/Microsoft.ML/ICanSaveModel.xml b/dotnet/xml/Microsoft.ML/ICanSaveModel.xml index 57867a847..007a85dda 100644 --- a/dotnet/xml/Microsoft.ML/ICanSaveModel.xml +++ b/dotnet/xml/Microsoft.ML/ICanSaveModel.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML/IDataLoaderEstimator`2.xml b/dotnet/xml/Microsoft.ML/IDataLoaderEstimator`2.xml index e53244aac..b3b971622 100644 --- a/dotnet/xml/Microsoft.ML/IDataLoaderEstimator`2.xml +++ b/dotnet/xml/Microsoft.ML/IDataLoaderEstimator`2.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML/IDataLoader`1.xml b/dotnet/xml/Microsoft.ML/IDataLoader`1.xml index 1e3495d2b..1fb737061 100644 --- a/dotnet/xml/Microsoft.ML/IDataLoader`1.xml +++ b/dotnet/xml/Microsoft.ML/IDataLoader`1.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML/IDataView.xml b/dotnet/xml/Microsoft.ML/IDataView.xml index 2ed8fd1db..4e25daa00 100644 --- a/dotnet/xml/Microsoft.ML/IDataView.xml +++ b/dotnet/xml/Microsoft.ML/IDataView.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML/IEstimator`1.xml b/dotnet/xml/Microsoft.ML/IEstimator`1.xml index 8f8bd35e9..a6a26da5d 100644 --- a/dotnet/xml/Microsoft.ML/IEstimator`1.xml +++ b/dotnet/xml/Microsoft.ML/IEstimator`1.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML/IPredictionTransformer`1.xml b/dotnet/xml/Microsoft.ML/IPredictionTransformer`1.xml index a175ec5b3..5145c150a 100644 --- a/dotnet/xml/Microsoft.ML/IPredictionTransformer`1.xml +++ b/dotnet/xml/Microsoft.ML/IPredictionTransformer`1.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML/ISingleFeaturePredictionTransformer`1.xml b/dotnet/xml/Microsoft.ML/ISingleFeaturePredictionTransformer`1.xml index 9cd9f379e..fbe1ecc76 100644 --- a/dotnet/xml/Microsoft.ML/ISingleFeaturePredictionTransformer`1.xml +++ b/dotnet/xml/Microsoft.ML/ISingleFeaturePredictionTransformer`1.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML/ITransformer.xml b/dotnet/xml/Microsoft.ML/ITransformer.xml index 3df130827..1feb8a276 100644 --- a/dotnet/xml/Microsoft.ML/ITransformer.xml +++ b/dotnet/xml/Microsoft.ML/ITransformer.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML/ImageEstimatorsCatalog.xml b/dotnet/xml/Microsoft.ML/ImageEstimatorsCatalog.xml index 77f6dd7b5..374fface8 100644 --- a/dotnet/xml/Microsoft.ML/ImageEstimatorsCatalog.xml +++ b/dotnet/xml/Microsoft.ML/ImageEstimatorsCatalog.xml @@ -195,9 +195,9 @@ The transform's catalog. Name of the column resulting from the transformation of . This column's data type will be . - Folder where to look for images. Name of the column with paths to the images to load. This estimator operates over text data. + Folder where to look for images. Create a , which loads the data from the column specified in as an image to a new column: . @@ -226,18 +226,18 @@ Microsoft.ML.Data.ImageLoadingEstimator - - - - + + + + The transform's catalog. Name of the column resulting from the transformation of . This column's data type will be . - Folder where to look for images. Name of the column with paths to the images to load. This estimator operates over text data. + Folder where to look for images. Create a , which loads the data from the column specified in as an image of raw bytes to a new column: . @@ -278,10 +278,10 @@ The transform's catalog. Name of the column resulting from the transformation of . This column's data type will be the same as that of the input column. - The transformed image width. - The transformed image height. Name of the column with images. This estimator operates over . + The transformed image width. + The transformed image height. The type of image resizing as specified in . Where to place the anchor, to start cropping. Options defined in diff --git a/dotnet/xml/Microsoft.ML/LightGbmExtensions.xml b/dotnet/xml/Microsoft.ML/LightGbmExtensions.xml index 10b377a13..0d3fbda98 100644 --- a/dotnet/xml/Microsoft.ML/LightGbmExtensions.xml +++ b/dotnet/xml/Microsoft.ML/LightGbmExtensions.xml @@ -168,9 +168,9 @@ Microsoft.ML.Trainers.LightGbm.LightGbmBinaryTrainer - - - + + + The . @@ -198,9 +198,9 @@ Microsoft.ML.Trainers.LightGbm.LightGbmMulticlassTrainer - - - + + + The . @@ -228,9 +228,9 @@ Microsoft.ML.Trainers.LightGbm.LightGbmRankingTrainer - - - + + + The . @@ -258,9 +258,9 @@ Microsoft.ML.Trainers.LightGbm.LightGbmRegressionTrainer - - - + + + The . diff --git a/dotnet/xml/Microsoft.ML/LoggingEventArgs.xml b/dotnet/xml/Microsoft.ML/LoggingEventArgs.xml index 5637ac2ec..8529011a9 100644 --- a/dotnet/xml/Microsoft.ML/LoggingEventArgs.xml +++ b/dotnet/xml/Microsoft.ML/LoggingEventArgs.xml @@ -53,9 +53,9 @@ 1.0.0.0 - - - + + + The message being logged diff --git a/dotnet/xml/Microsoft.ML/MLContext.xml b/dotnet/xml/Microsoft.ML/MLContext.xml index 6ceb9050c..74a323467 100644 --- a/dotnet/xml/Microsoft.ML/MLContext.xml +++ b/dotnet/xml/Microsoft.ML/MLContext.xml @@ -1,8 +1,8 @@ - + - + diff --git a/dotnet/xml/Microsoft.ML/ModelOperationsCatalog.xml b/dotnet/xml/Microsoft.ML/ModelOperationsCatalog.xml index 236d28c3b..d235993b6 100644 --- a/dotnet/xml/Microsoft.ML/ModelOperationsCatalog.xml +++ b/dotnet/xml/Microsoft.ML/ModelOperationsCatalog.xml @@ -92,8 +92,8 @@ - - + + The class that defines the input data. diff --git a/dotnet/xml/Microsoft.ML/NormalizationCatalog.xml b/dotnet/xml/Microsoft.ML/NormalizationCatalog.xml index e388d7ac8..2d6c1183f 100644 --- a/dotnet/xml/Microsoft.ML/NormalizationCatalog.xml +++ b/dotnet/xml/Microsoft.ML/NormalizationCatalog.xml @@ -199,11 +199,11 @@ Microsoft.ML.Transforms.NormalizingEstimator - - - - - + + + + + The transform catalog @@ -276,12 +276,12 @@ Microsoft.ML.Transforms.NormalizingEstimator - - - - - - + + + + + + The transform catalog @@ -522,12 +522,12 @@ Microsoft.ML.Transforms.NormalizingEstimator - - - - - - + + + + + + The transform catalog @@ -566,13 +566,13 @@ Microsoft.ML.Transforms.NormalizingEstimator - - - - - - - + + + + + + + The transform catalog diff --git a/dotnet/xml/Microsoft.ML/OnnxCatalog.xml b/dotnet/xml/Microsoft.ML/OnnxCatalog.xml index 5ef6e6b67..be42779dd 100644 --- a/dotnet/xml/Microsoft.ML/OnnxCatalog.xml +++ b/dotnet/xml/Microsoft.ML/OnnxCatalog.xml @@ -32,8 +32,8 @@ Microsoft.ML.Transforms.Onnx.OnnxScoringEstimator - - + + The transform's catalog. @@ -108,11 +108,11 @@ Microsoft.ML.Transforms.Onnx.OnnxScoringEstimator - - - - - + + + + + The transform's catalog. @@ -242,13 +242,13 @@ Microsoft.ML.Transforms.Onnx.OnnxScoringEstimator - - - - - - - + + + + + + + The transform's catalog. @@ -292,13 +292,13 @@ Microsoft.ML.Transforms.Onnx.OnnxScoringEstimator - - - - - - - + + + + + + + The transform's catalog. @@ -337,14 +337,14 @@ Microsoft.ML.Transforms.Onnx.OnnxScoringEstimator - - - - - - - - + + + + + + + + The transform's catalog. diff --git a/dotnet/xml/Microsoft.ML/PermutationFeatureImportanceExtensions.xml b/dotnet/xml/Microsoft.ML/PermutationFeatureImportanceExtensions.xml index a66eac2c5..27afa2957 100644 --- a/dotnet/xml/Microsoft.ML/PermutationFeatureImportanceExtensions.xml +++ b/dotnet/xml/Microsoft.ML/PermutationFeatureImportanceExtensions.xml @@ -36,13 +36,13 @@ System.Collections.Immutable.ImmutableDictionary<System.String,Microsoft.ML.Data.MulticlassClassificationMetricsStatistics> - - - - - - - + + + + + + + The multiclass classification catalog. @@ -100,13 +100,13 @@ System.Collections.Immutable.ImmutableDictionary<System.String,Microsoft.ML.Data.RegressionMetricsStatistics> - - - - - - - + + + + + + + The regression catalog. @@ -164,14 +164,14 @@ System.Collections.Immutable.ImmutableDictionary<System.String,Microsoft.ML.Data.RankingMetricsStatistics> - - - - - - - - + + + + + + + + The ranking catalog. @@ -520,13 +520,13 @@ System.Collections.Immutable.ImmutableDictionary<System.String,Microsoft.ML.Data.BinaryClassificationMetricsStatistics> - - - - - - - + + + + + + + The binary classification catalog. diff --git a/dotnet/xml/Microsoft.ML/RankingCatalog.xml b/dotnet/xml/Microsoft.ML/RankingCatalog.xml index d88f9b9b5..d6547f719 100644 --- a/dotnet/xml/Microsoft.ML/RankingCatalog.xml +++ b/dotnet/xml/Microsoft.ML/RankingCatalog.xml @@ -35,12 +35,12 @@ System.Collections.Generic.IReadOnlyList<Microsoft.ML.TrainCatalogBase+CrossValidationResult<Microsoft.ML.Data.RankingMetrics>> - - - - - - + + + + + + The data to run cross-validation on. @@ -108,11 +108,11 @@ Microsoft.ML.Data.RankingMetrics - - - - - + + + + + The scored data. diff --git a/dotnet/xml/Microsoft.ML/StandardTrainersCatalog.xml b/dotnet/xml/Microsoft.ML/StandardTrainersCatalog.xml index 3698e5935..c0b816e95 100644 --- a/dotnet/xml/Microsoft.ML/StandardTrainersCatalog.xml +++ b/dotnet/xml/Microsoft.ML/StandardTrainersCatalog.xml @@ -56,10 +56,10 @@ - + - + @@ -168,11 +168,11 @@ The name of the label column. The column data must be . The name of the feature column. The column data must be a known-sized vector of . The name of the example weight column (optional). + Enforce non-negative weights. The L1 regularization hyperparameter. Higher values will tend to lead to more sparse model. The L2 weight for regularization. - Threshold for optimizer convergence. Memory size for . Low=faster, less accurate. - Enforce non-negative weights. + Threshold for optimizer convergence. Create , which predicts a target using a linear binary classification model trained over boolean label data. @@ -248,11 +248,11 @@ The name of the label column. The column data must be . The name of the feature column. The column data must be a known-sized vector of . The name of the example weight column (optional). + Enforce non-negative weights. The L1 regularization hyperparameter. Higher values will tend to lead to more sparse model. The L2 weight for regularization. - Threshold for optimizer convergence. Memory size for . Low=faster, less accurate. - Enforce non-negative weights. + Threshold for optimizer convergence. Create , which predicts a target using a maximum entropy classification model trained with the L-BFGS method. @@ -360,8 +360,8 @@ Microsoft.ML.Trainers.LdSvmTrainer - - + + The . @@ -393,14 +393,14 @@ Microsoft.ML.Trainers.LdSvmTrainer - - - - - - - - + + + + + + + + The . @@ -567,9 +567,9 @@ The type of the model. This type parameter will usually be inferred automatically from . The multiclass classification catalog trainer object. An instance of a binary used as the base trainer. + The calibrator. If a calibrator is not explicitly provided, it will default to The name of the label column. Whether to treat missing labels as having negative labels, instead of keeping them missing. - The calibrator. If a calibrator is not explicitly provided, it will default to Number of instances to train the calibrator. Use probabilities (vs. raw outputs) to identify top-score category. @@ -702,9 +702,9 @@ The type of the model. This type parameter will usually be inferred automatically from . The multiclass classification catalog trainer object. An instance of a binary used as the base trainer. + The calibrator. If a calibrator is not explicitly provided, it will default to The name of the label column. Whether to treat missing labels as having negative labels, instead of keeping them missing. - The calibrator. If a calibrator is not explicitly provided, it will default to Number of instances to train the calibrator. Create a , which predicts a multiclass target using pairwise coupling strategy with diff --git a/dotnet/xml/Microsoft.ML/TensorflowCatalog.xml b/dotnet/xml/Microsoft.ML/TensorflowCatalog.xml index f9220d56c..2be7569b4 100644 --- a/dotnet/xml/Microsoft.ML/TensorflowCatalog.xml +++ b/dotnet/xml/Microsoft.ML/TensorflowCatalog.xml @@ -123,9 +123,9 @@ Microsoft.ML.Transforms.TensorFlowModel - - - + + + The transform's catalog. diff --git a/dotnet/xml/Microsoft.ML/TextCatalog.xml b/dotnet/xml/Microsoft.ML/TextCatalog.xml index 4a3c328c1..3bc345576 100644 --- a/dotnet/xml/Microsoft.ML/TextCatalog.xml +++ b/dotnet/xml/Microsoft.ML/TextCatalog.xml @@ -82,9 +82,9 @@ The text-related transform's catalog. + The path of the pre-trained embeddings model to use. Name of the column resulting from the transformation of . This column's data type will be a vector of . - The path of the pre-trained embeddings model to use. Name of the column to transform. If set to , the value of the will be used as source. This estimator operates over known-size vector of text data type. @@ -581,12 +581,12 @@ Microsoft.ML.Transforms.Text.WordBagEstimator - - - - - - + + + + + + To be added. diff --git a/dotnet/xml/Microsoft.ML/TextLoaderSaverCatalog.xml b/dotnet/xml/Microsoft.ML/TextLoaderSaverCatalog.xml index a8432912a..2134f1dd1 100644 --- a/dotnet/xml/Microsoft.ML/TextLoaderSaverCatalog.xml +++ b/dotnet/xml/Microsoft.ML/TextLoaderSaverCatalog.xml @@ -132,9 +132,9 @@ - - - + + + To be added. @@ -311,9 +311,9 @@ - - - + + + To be added. diff --git a/dotnet/xml/Microsoft.ML/TimeSeriesCatalog.xml b/dotnet/xml/Microsoft.ML/TimeSeriesCatalog.xml index 6490f7970..9b2d4f948 100644 --- a/dotnet/xml/Microsoft.ML/TimeSeriesCatalog.xml +++ b/dotnet/xml/Microsoft.ML/TimeSeriesCatalog.xml @@ -18,11 +18,11 @@ - - + + - - + + @@ -42,12 +42,13 @@ - + + The size of sliding window to generate a saliency map for the series. No more than , usually keep default value. The transform's catalog. Name of the column resulting from the transformation of . The column data is a vector of . The vector contains 3 elements: alert (1 means anomaly while 0 means normal), raw score, and magnitude of spectual residual. @@ -56,7 +57,6 @@ The number of points to add back of training window. No more than , usually keep default value. The number of pervious points used in prediction. No more than , usually keep default value. The size of sliding window to generate a saliency map for the series. No more than , usually keep default value. - The size of sliding window to generate a saliency map for the series. No more than , usually keep default value. The size of sliding window to calculate the anomaly score for each data point. No more than . The threshold to determine anomaly, score larger than the threshold is considered as anomaly. Should be in (0,1) @@ -86,16 +86,16 @@ Microsoft.ML.Transforms.TimeSeries.SsaChangePointEstimator - - - - - - - - - - + + + + + + + + + + The transform's catalog. @@ -104,8 +104,8 @@ Name of column to transform. The column data must be . If set to , the value of the will be used as source. The confidence for change point detection in the range [0, 100]. - The size of the sliding window for computing the p-value. The number of points from the beginning of the sequence used for training. + The size of the sliding window for computing the p-value. An upper bound on the largest relevant seasonality in the input time-series. The function used to compute the error between the expected and the observed value. The martingale used for scoring. @@ -135,7 +135,7 @@ 1.0.0.0 - + [System.Obsolete("This API method is deprecated, please use the overload with confidence parameter of type double.")] [<System.Obsolete("This API method is deprecated, please use the overload with confidence parameter of type double.")>] @@ -162,8 +162,8 @@ Name of column to transform. The column data must be . If set to , the value of the will be used as source. The confidence for change point detection in the range [0, 100]. - The size of the sliding window for computing the p-value. The number of points from the beginning of the sequence used for training. + The size of the sliding window for computing the p-value. An upper bound on the largest relevant seasonality in the input time-series. The function used to compute the error between the expected and the observed value. The martingale used for scoring. @@ -196,11 +196,11 @@ Microsoft.ML.IDataView - - - - - + + + + + The AnomalyDetectionCatalog. @@ -236,14 +236,14 @@ Microsoft.ML.IDataView - - - - - - - - + + + + + + + + The AnomalyDetectionCatalog. @@ -289,13 +289,13 @@ Microsoft.ML.Transforms.TimeSeries.IidChangePointEstimator - - - - - - - + + + + + + + The transform's catalog. @@ -332,7 +332,7 @@ 1.0.0.0 - + [System.Obsolete("This API method is deprecated, please use the overload with confidence parameter of type double.")] [<System.Obsolete("This API method is deprecated, please use the overload with confidence parameter of type double.")>] @@ -387,12 +387,12 @@ Microsoft.ML.Transforms.TimeSeries.IidSpikeEstimator - - - - - - + + + + + + The transform's catalog. @@ -429,7 +429,7 @@ 1.0.0.0 - + [System.Obsolete("This API method is deprecated, please use the overload with confidence parameter of type double.")] [<System.Obsolete("This API method is deprecated, please use the overload with confidence parameter of type double.")>] @@ -483,11 +483,11 @@ System.Int32 - - - - - + + + + + The detect seasonality catalog. @@ -540,15 +540,15 @@ Microsoft.ML.Transforms.TimeSeries.SsaSpikeEstimator - - - - - - - - - + + + + + + + + + The transform's catalog. @@ -587,7 +587,7 @@ 1.0.0.0 - + [System.Obsolete("This API method is deprecated, please use the overload with confidence parameter of type double.")] [<System.Obsolete("This API method is deprecated, please use the overload with confidence parameter of type double.")>] @@ -717,10 +717,10 @@ Microsoft.ML.TimeSeries.RootCause - - - - + + + + The anomaly detection catalog. @@ -758,10 +758,10 @@ System.Collections.Generic.List<Microsoft.ML.TimeSeries.RootCause> - - - - + + + + The anomaly detection catalog. diff --git a/dotnet/xml/Microsoft.ML/TreeExtensions.xml b/dotnet/xml/Microsoft.ML/TreeExtensions.xml index 63428c602..44b02342c 100644 --- a/dotnet/xml/Microsoft.ML/TreeExtensions.xml +++ b/dotnet/xml/Microsoft.ML/TreeExtensions.xml @@ -115,8 +115,8 @@ The name of the label column. The column data must be . The name of the feature column. The column data must be a known-sized vector of . The name of the example weight column (optional). - The maximum number of leaves per decision tree. Total number of decision trees to create in the ensemble. + The maximum number of leaves per decision tree. The minimal number of data points required to form a new tree leaf. Create , which predicts a target using a decision tree regression model. @@ -301,8 +301,8 @@ The name of the label column. The column data must be . The name of the feature column. The column data must be a known-sized vector of . The name of the example weight column (optional). - The maximum number of leaves per decision tree. Total number of decision trees to create in the ensemble. + The maximum number of leaves per decision tree. The minimal number of data points required to form a new tree leaf. The learning rate. @@ -346,8 +346,8 @@ The name of the label column. The column data must be . The name of the feature column. The column data must be a known-sized vector of . The name of the example weight column (optional). - The maximum number of leaves per decision tree. Total number of decision trees to create in the ensemble. + The maximum number of leaves per decision tree. The minimal number of data points required to form a new tree leaf. The learning rate. @@ -393,8 +393,8 @@ The name of the feature column. The column data must be a known-sized vector of . The name of the group column. The name of the example weight column (optional). - The maximum number of leaves per decision tree. Total number of decision trees to create in the ensemble. + The maximum number of leaves per decision tree. The minimal number of data points required to form a new tree leaf. The learning rate. @@ -471,8 +471,8 @@ The name of the label column. The column data must be . The name of the feature column. The column data must be a known-sized vector of . The name of the example weight column (optional). - The maximum number of leaves per decision tree. Total number of decision trees to create in the ensemble. + The maximum number of leaves per decision tree. The minimal number of data points required to form a new tree leaf. The learning rate. @@ -502,8 +502,8 @@ Microsoft.ML.Trainers.FastTree.FastForestBinaryFeaturizationEstimator - - + + The context to create . @@ -536,8 +536,8 @@ Microsoft.ML.Trainers.FastTree.FastForestRegressionFeaturizationEstimator - - + + The context to create . @@ -570,8 +570,8 @@ Microsoft.ML.Trainers.FastTree.FastTreeBinaryFeaturizationEstimator - - + + The context to create . @@ -604,8 +604,8 @@ Microsoft.ML.Trainers.FastTree.FastTreeRankingFeaturizationEstimator - - + + The context to create . @@ -638,8 +638,8 @@ Microsoft.ML.Trainers.FastTree.FastTreeRegressionFeaturizationEstimator - - + + The context to create . @@ -672,8 +672,8 @@ Microsoft.ML.Trainers.FastTree.FastTreeTweedieFeaturizationEstimator - - + + The context to create . @@ -706,8 +706,8 @@ Microsoft.ML.Trainers.FastTree.PretrainedTreeFeaturizationEstimator - - + + The context to create . diff --git a/dotnet/xml/PackageInformation/ml-dotnet-2.0.0.json b/dotnet/xml/PackageInformation/ml-dotnet-2.0.0.json index 27bda2628..e14f92198 100644 --- a/dotnet/xml/PackageInformation/ml-dotnet-2.0.0.json +++ b/dotnet/xml/PackageInformation/ml-dotnet-2.0.0.json @@ -1 +1 @@ -{"ml-dotnet-2.0.0":{"Microsoft.ML.Core":{"Name":"Microsoft.ML","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Data":{"Name":"Microsoft.ML","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML":{"Name":"Microsoft.ML","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.KMeansClustering":{"Name":"Microsoft.ML","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.PCA":{"Name":"Microsoft.ML","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.StandardTrainers":{"Name":"Microsoft.ML","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Transforms":{"Name":"Microsoft.ML","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.CpuMath":{"Name":"Microsoft.ML.CpuMath","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.DataView":{"Name":"Microsoft.ML.DataView","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.Extensions.ML":{"Name":"Microsoft.Extensions.ML","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.FastTree":{"Name":"Microsoft.ML.FastTree","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.ImageAnalytics":{"Name":"Microsoft.ML.ImageAnalytics","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.LightGbm":{"Name":"Microsoft.ML.LightGbm","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Mkl.Components":{"Name":"Microsoft.ML.Mkl.Components","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.OnnxTransformer":{"Name":"Microsoft.ML.OnnxTransformer","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.TensorFlow":{"Name":"Microsoft.ML.TensorFlow","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.TimeSeries":{"Name":"Microsoft.ML.TimeSeries","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Vision":{"Name":"Microsoft.ML.Vision","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"}}} \ No newline at end of file +{"ml-dotnet-2.0.0":{"Microsoft.ML.Core":{"Name":"Microsoft.ML","Version":"2.0.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Data":{"Name":"Microsoft.ML","Version":"2.0.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML":{"Name":"Microsoft.ML","Version":"2.0.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.KMeansClustering":{"Name":"Microsoft.ML","Version":"2.0.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.PCA":{"Name":"Microsoft.ML","Version":"2.0.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.StandardTrainers":{"Name":"Microsoft.ML","Version":"2.0.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Transforms":{"Name":"Microsoft.ML","Version":"2.0.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.CpuMath":{"Name":"Microsoft.ML.CpuMath","Version":"2.0.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.DataView":{"Name":"Microsoft.ML.DataView","Version":"2.0.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.Extensions.ML":{"Name":"Microsoft.Extensions.ML","Version":"2.0.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.FastTree":{"Name":"Microsoft.ML.FastTree","Version":"2.0.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.ImageAnalytics":{"Name":"Microsoft.ML.ImageAnalytics","Version":"2.0.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.LightGbm":{"Name":"Microsoft.ML.LightGbm","Version":"2.0.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Mkl.Components":{"Name":"Microsoft.ML.Mkl.Components","Version":"2.0.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.OnnxTransformer":{"Name":"Microsoft.ML.OnnxTransformer","Version":"2.0.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.TensorFlow":{"Name":"Microsoft.ML.TensorFlow","Version":"2.0.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.TimeSeries":{"Name":"Microsoft.ML.TimeSeries","Version":"2.0.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Vision":{"Name":"Microsoft.ML.Vision","Version":"2.0.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.AutoML":{"Name":"Microsoft.ML.AutoML","Version":"0.20.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.SearchSpace":{"Name":"Microsoft.ML.AutoML","Version":"0.20.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.CodeGenerator":{"Name":"Microsoft.ML.CodeGenerator","Version":"0.20.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.DnnImageFeaturizer.AlexNet":{"Name":"Microsoft.ML.DnnImageFeaturizer.AlexNet","Version":"0.20.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.DnnImageFeaturizer.ResNet101":{"Name":"Microsoft.ML.DnnImageFeaturizer.ResNet101","Version":"0.20.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.DnnImageFeaturizer.ResNet18":{"Name":"Microsoft.ML.DnnImageFeaturizer.ResNet18","Version":"0.20.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.DnnImageFeaturizer.ResNet50":{"Name":"Microsoft.ML.DnnImageFeaturizer.ResNet50","Version":"0.20.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Ensemble":{"Name":"Microsoft.ML.Ensemble","Version":"0.20.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.EntryPoints":{"Name":"Microsoft.ML.EntryPoints","Version":"0.20.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Experimental":{"Name":"Microsoft.ML.Experimental","Version":"0.20.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.OnnxConverter":{"Name":"Microsoft.ML.OnnxConverter","Version":"0.20.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Parquet":{"Name":"Microsoft.ML.Parquet","Version":"0.20.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Recommender":{"Name":"Microsoft.ML.Recommender","Version":"0.20.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.SamplesUtils":{"Name":"Microsoft.ML.SampleUtils","Version":"0.20.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Tokenizers":{"Name":"Microsoft.ML.Tokenizers","Version":"0.20.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.TorchSharp":{"Name":"Microsoft.ML.TorchSharp","Version":"0.20.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.Data.Analysis":{"Name":"Microsoft.Data.Analysis","Version":"0.20.1","Feed":"https://api.nuget.org/v3/index.json"}}} \ No newline at end of file diff --git a/dotnet/xml/PackageInformation/ml-dotnet-preview.json b/dotnet/xml/PackageInformation/ml-dotnet-preview.json index c0d5f178e..08e263746 100644 --- a/dotnet/xml/PackageInformation/ml-dotnet-preview.json +++ b/dotnet/xml/PackageInformation/ml-dotnet-preview.json @@ -1 +1 @@ -{"ml-dotnet-preview":{"Microsoft.ML.AutoML":{"Name":"Microsoft.ML.AutoML","Version":"0.21.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.SearchSpace":{"Name":"Microsoft.ML.AutoML","Version":"0.21.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.CodeGenerator":{"Name":"Microsoft.ML.CodeGenerator","Version":"0.21.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.DnnImageFeaturizer.AlexNet":{"Name":"Microsoft.ML.DnnImageFeaturizer.AlexNet","Version":"0.21.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.DnnImageFeaturizer.ResNet101":{"Name":"Microsoft.ML.DnnImageFeaturizer.ResNet101","Version":"0.21.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.DnnImageFeaturizer.ResNet18":{"Name":"Microsoft.ML.DnnImageFeaturizer.ResNet18","Version":"0.21.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.DnnImageFeaturizer.ResNet50":{"Name":"Microsoft.ML.DnnImageFeaturizer.ResNet50","Version":"0.21.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Ensemble":{"Name":"Microsoft.ML.Ensemble","Version":"0.21.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.EntryPoints":{"Name":"Microsoft.ML.EntryPoints","Version":"0.21.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Experimental":{"Name":"Microsoft.ML.Experimental","Version":"0.21.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.OnnxConverter":{"Name":"Microsoft.ML.OnnxConverter","Version":"0.21.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Parquet":{"Name":"Microsoft.ML.Parquet","Version":"0.21.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Recommender":{"Name":"Microsoft.ML.Recommender","Version":"0.21.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.SamplesUtils":{"Name":"Microsoft.ML.SampleUtils","Version":"0.21.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Tokenizers":{"Name":"Microsoft.ML.Tokenizers","Version":"0.21.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.TorchSharp":{"Name":"Microsoft.ML.TorchSharp","Version":"0.21.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.Data.Analysis":{"Name":"Microsoft.Data.Analysis","Version":"0.21.1","Feed":"https://api.nuget.org/v3/index.json"}}} \ No newline at end of file +{"ml-dotnet-preview":{"Microsoft.ML.Core":{"Name":"Microsoft.ML","Version":"4.0.0-preview.24162.2","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Data":{"Name":"Microsoft.ML","Version":"4.0.0-preview.24162.2","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.KMeansClustering":{"Name":"Microsoft.ML","Version":"4.0.0-preview.24162.2","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.PCA":{"Name":"Microsoft.ML","Version":"4.0.0-preview.24162.2","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.StandardTrainers":{"Name":"Microsoft.ML","Version":"4.0.0-preview.24162.2","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Transforms":{"Name":"Microsoft.ML","Version":"4.0.0-preview.24162.2","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.CpuMath":{"Name":"Microsoft.ML.CpuMath","Version":"4.0.0-preview.24162.2","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.DataView":{"Name":"Microsoft.ML.DataView","Version":"4.0.0-preview.24162.2","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.Extensions.ML":{"Name":"Microsoft.Extensions.ML","Version":"4.0.0-preview.24162.2","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.FastTree":{"Name":"Microsoft.ML.FastTree","Version":"4.0.0-preview.24162.2","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.ImageAnalytics":{"Name":"Microsoft.ML.ImageAnalytics","Version":"4.0.0-preview.24162.2","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.LightGbm":{"Name":"Microsoft.ML.LightGbm","Version":"4.0.0-preview.24162.2","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Mkl.Components":{"Name":"Microsoft.ML.Mkl.Components","Version":"4.0.0-preview.24162.2","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.OnnxTransformer":{"Name":"Microsoft.ML.OnnxTransformer","Version":"3.0.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.TensorFlow":{"Name":"Microsoft.ML.TensorFlow","Version":"4.0.0-preview.24162.2","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.TimeSeries":{"Name":"Microsoft.ML.TimeSeries","Version":"4.0.0-preview.24162.2","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Vision":{"Name":"Microsoft.ML.Vision","Version":"4.0.0-preview.24162.2","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.AutoML":{"Name":"Microsoft.ML.AutoML","Version":"0.22.0-preview.24162.2","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.SearchSpace":{"Name":"Microsoft.ML.AutoML","Version":"0.22.0-preview.24162.2","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.CodeGenerator":{"Name":"Microsoft.ML.CodeGenerator","Version":"0.22.0-preview.24162.2","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.DnnImageFeaturizer.AlexNet":{"Name":"Microsoft.ML.DnnImageFeaturizer.AlexNet","Version":"0.22.0-preview.24162.2","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.DnnImageFeaturizer.ResNet101":{"Name":"Microsoft.ML.DnnImageFeaturizer.ResNet101","Version":"0.22.0-preview.24162.2","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.DnnImageFeaturizer.ResNet18":{"Name":"Microsoft.ML.DnnImageFeaturizer.ResNet18","Version":"0.22.0-preview.24162.2","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.DnnImageFeaturizer.ResNet50":{"Name":"Microsoft.ML.DnnImageFeaturizer.ResNet50","Version":"0.22.0-preview.24162.2","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Ensemble":{"Name":"Microsoft.ML.Ensemble","Version":"0.22.0-preview.24162.2","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.EntryPoints":{"Name":"Microsoft.ML.EntryPoints","Version":"0.22.0-preview.24162.2","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Experimental":{"Name":"Microsoft.ML.Experimental","Version":"0.22.0-preview.24162.2","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.OnnxConverter":{"Name":"Microsoft.ML.OnnxConverter","Version":"0.22.0-preview.24162.2","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Parquet":{"Name":"Microsoft.ML.Parquet","Version":"0.22.0-preview.24162.2","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Recommender":{"Name":"Microsoft.ML.Recommender","Version":"0.22.0-preview.24162.2","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.SamplesUtils":{"Name":"Microsoft.ML.SampleUtils","Version":"0.22.0-preview.24162.2","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Tokenizers":{"Name":"Microsoft.ML.Tokenizers","Version":"0.22.0-preview.24162.2","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.TorchSharp":{"Name":"Microsoft.ML.TorchSharp","Version":"0.22.0-preview.24162.2","Feed":"https://api.nuget.org/v3/index.js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\ No newline at end of file diff --git a/dotnet/xml/PackageInformation/ml-dotnet.json b/dotnet/xml/PackageInformation/ml-dotnet.json index 65ee07dc2..4a8e605a9 100644 --- a/dotnet/xml/PackageInformation/ml-dotnet.json +++ b/dotnet/xml/PackageInformation/ml-dotnet.json @@ -1 +1 @@ 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\ No newline at end of file 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\ No newline at end of file From 8265e93dd9abb825ba9bae0eee22e6b5d7a7d4c0 Mon Sep 17 00:00:00 2001 From: Shujing Zhang Date: Thu, 5 Dec 2024 16:24:54 +0800 Subject: [PATCH 05/12] Delete .openpublishing.build.ps1 --- .openpublishing.build.ps1 | 17 ----------------- 1 file changed, 17 deletions(-) delete mode 100644 .openpublishing.build.ps1 diff --git a/.openpublishing.build.ps1 b/.openpublishing.build.ps1 deleted file mode 100644 index aadef7620..000000000 --- a/.openpublishing.build.ps1 +++ /dev/null @@ -1,17 +0,0 @@ -param( - [string]$buildCorePowershellUrl = "https://opbuildstorageprod.blob.core.windows.net/opps1container/.openpublishing.buildcore.ps1", - [string]$parameters -) -# Main -$errorActionPreference = 'Stop' - -# Step-1: Download buildcore script to local -echo "download build core script to local with source url: $buildCorePowershellUrl" -$repositoryRoot = Split-Path -Parent $MyInvocation.MyCommand.Definition -$buildCorePowershellDestination = "$repositoryRoot\.openpublishing.buildcore.ps1" -Invoke-WebRequest $buildCorePowershellUrl -OutFile "$buildCorePowershellDestination" - -# Step-2: Run build core -echo "run build core script with parameters: $parameters" -& "$buildCorePowershellDestination" "$parameters" -exit $LASTEXITCODE From e87ebe9fede6ab47a627dfd660308aa07ddbb3b1 Mon Sep 17 00:00:00 2001 From: Jeff Handley Date: Mon, 23 Dec 2024 04:14:01 -0800 Subject: [PATCH 06/12] Fix broken link format --- .../Microsoft.ML.Transforms.Text/TextFeaturizingEstimator.xml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/dotnet/xml/Microsoft.ML.Transforms.Text/TextFeaturizingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms.Text/TextFeaturizingEstimator.xml index 540a3fb1c..51bc724a8 100644 --- a/dotnet/xml/Microsoft.ML.Transforms.Text/TextFeaturizingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms.Text/TextFeaturizingEstimator.xml @@ -37,7 +37,7 @@ * [Tokenization](https://en.wikipedia.org/wiki/Lexical_analysis#Tokenization) * [Text normalization](https://en.wikipedia.org/wiki/Text_normalization) * [Predefined and custom stopwords removal](https://en.wikipedia.org/wiki/Stop_words) - * [Word-based or character-based Ngram extraction and SkipGram extraction (through the advanced [options](xref:Microsoft.ML.Transforms.TextFeaturizingEstimator.Options.WordFeatureExtractor))](https://en.wikipedia.org/wiki/N-gram) + * [Word-based or character-based Ngram extraction and SkipGram extraction](https://en.wikipedia.org/wiki/N-gram) (through the advanced [options](xref:Microsoft.ML.Transforms.TextFeaturizingEstimator.Options.WordFeatureExtractor)) * [TF, IDF or TF-IDF](https://en.wikipedia.org/wiki/Tf%E2%80%93idf) * [L-p vector normalization](xref: Microsoft.ML.Transforms.LpNormNormalizingTransformer) From 1fd9c66a7e65d9926f7edc3c67e5e00fe378f2c9 Mon Sep 17 00:00:00 2001 From: Jeff Handley Date: Mon, 23 Dec 2024 04:18:46 -0800 Subject: [PATCH 07/12] Remove errant space breaking xref link --- .../Microsoft.ML.Transforms.Text/TextFeaturizingEstimator.xml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/dotnet/xml/Microsoft.ML.Transforms.Text/TextFeaturizingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms.Text/TextFeaturizingEstimator.xml index 51bc724a8..4f4704d18 100644 --- a/dotnet/xml/Microsoft.ML.Transforms.Text/TextFeaturizingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms.Text/TextFeaturizingEstimator.xml @@ -39,7 +39,7 @@ * [Predefined and custom stopwords removal](https://en.wikipedia.org/wiki/Stop_words) * [Word-based or character-based Ngram extraction and SkipGram extraction](https://en.wikipedia.org/wiki/N-gram) (through the advanced [options](xref:Microsoft.ML.Transforms.TextFeaturizingEstimator.Options.WordFeatureExtractor)) * [TF, IDF or TF-IDF](https://en.wikipedia.org/wiki/Tf%E2%80%93idf) - * [L-p vector normalization](xref: Microsoft.ML.Transforms.LpNormNormalizingTransformer) + * [L-p vector normalization](xref:Microsoft.ML.Transforms.LpNormNormalizingTransformer) By default the features are made of (word/character) n-grams/skip-grams​ and the number of features are equal to the vocabulary size found by analyzing the data. To output an additional column with the tokens generated, use [OutputTokensColumnName](xref:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Options.OutputTokensColumnName). From ed4e4033572df6ef3192b903580fde169567cb39 Mon Sep 17 00:00:00 2001 From: "docsreference@microsoft.com" Date: Thu, 20 Feb 2025 17:49:58 +0000 Subject: [PATCH 08/12] CI Update Build.Reason:Manual by Alma Jenks (BEYONDSOFT CONSULTING INC) Build.Url:https://apidrop.visualstudio.com/Content%20CI/_build/results?buildId=502771&view=results source_repo.branch:master source_repo.csvPath:bundlepackages/ml-dotnet source_repo.url:https://apidrop.visualstudio.com/binaries/_git/mrefconfig --- .../xml/FrameworksIndex/ml-dotnet-3.0.0.xml | 10427 +++++++ .../xml/FrameworksIndex/ml-dotnet-preview.xml | 441 +- dotnet/xml/FrameworksIndex/ml-dotnet.xml | 548 +- .../ArrowStringDataFrameColumn.xml | 177 +- .../BooleanDataFrameColumn.xml | 4 +- .../ByteDataFrameColumn.xml | 4 +- .../CharDataFrameColumn.xml | 4 +- .../xml/Microsoft.Data.Analysis/DataFrame.xml | 240 +- ...DataFrameColumn+GetBufferLengthAtIndex.xml | 25 + .../DataFrameColumn+GetBufferSortIndex.xml | 27 + ...n+GetValueAndBufferSortIndexAtBuffer`1.xml | 31 + .../DataFrameColumn.xml | 304 +- .../DataFrameColumnCollection.xml | 8 +- .../Microsoft.Data.Analysis/DataFrameRow.xml | 2 +- .../DateTimeDataFrameColumn.xml | 4 +- .../DecimalDataFrameColumn.xml | 4 +- .../DoubleDataFrameColumn.xml | 4 +- .../Int16DataFrameColumn.xml | 4 +- .../Int32DataFrameColumn.xml | 4 +- .../Int64DataFrameColumn.xml | 4 +- .../PrimitiveDataFrameColumn`1.xml | 256 +- .../SByteDataFrameColumn.xml | 4 +- .../SingleDataFrameColumn.xml | 4 +- .../StringDataFrameColumn.xml | 199 +- .../UInt16DataFrameColumn.xml | 4 +- .../UInt32DataFrameColumn.xml | 4 +- .../UInt64DataFrameColumn.xml | 4 +- .../VBufferDataFrameColumn`1.xml | 125 +- .../ServiceCollectionExtensions.xml | 6 +- .../EstimatorType.xml | 108 +- .../xml/Microsoft.ML.AutoML/AutoCatalog.xml | 102 +- .../AutoMLExperimentExtension.xml | 38 +- .../ColumnInferenceResults.xml | 9 +- .../Microsoft.ML.AutoML/ColumnInformation.xml | 34 +- .../Microsoft.ML.AutoML/IDatasetManager.xml | 2 +- .../IEvaluateMetricManager.xml | 2 +- .../Microsoft.ML.AutoML/IMetricManager.xml | 2 +- dotnet/xml/Microsoft.ML.AutoML/IMonitor.xml | 12 +- dotnet/xml/Microsoft.ML.AutoML/ISweepable.xml | 2 +- .../xml/Microsoft.ML.AutoML/ISweepable`1.xml | 2 +- .../xml/Microsoft.ML.AutoML/ITrialRunner.xml | 2 +- dotnet/xml/Microsoft.ML.AutoML/ITuner.xml | 2 +- .../Microsoft.ML.Calibrators/ICalibrator.xml | 2 +- .../IWritable.xml | 2 +- .../ICSharpFile.xml | 2 +- .../CompositeDataLoader`2.xml | 10 +- .../Microsoft.ML.Data/DataViewTypeManager.xml | 16 +- .../xml/Microsoft.ML.Data/DatabaseSource.xml | 8 +- dotnet/xml/Microsoft.ML.Data/IFileHandle.xml | 2 +- .../Microsoft.ML.Data/IMultiStreamSource.xml | 2 +- .../xml/Microsoft.ML.Data/IRowToRowMapper.xml | 2 +- .../PredictionTransformerBase`1.xml | 10 +- .../SvmLightLoaderSaverCatalog.xml | 4 +- .../Microsoft.ML.Data/TransformerChain`1.xml | 18 +- .../xml/Microsoft.ML.Data/VBufferEditor.xml | 4 +- dotnet/xml/Microsoft.ML.Data/VBuffer`1.xml | 10 +- dotnet/xml/Microsoft.ML.Runtime/IChannel.xml | 2 +- .../Microsoft.ML.Runtime/IChannelProvider.xml | 2 +- .../IComponentFactory.xml | 2 +- .../IComponentFactory`1.xml | 2 +- .../IComponentFactory`2.xml | 2 +- .../IComponentFactory`3.xml | 2 +- .../IComponentFactory`4.xml | 2 +- .../IExceptionContext.xml | 2 +- dotnet/xml/Microsoft.ML.Runtime/IHost.xml | 2 +- .../Microsoft.ML.Runtime/IHostEnvironment.xml | 2 +- dotnet/xml/Microsoft.ML.Runtime/IPipe`1.xml | 2 +- .../Microsoft.ML.Runtime/IProgressChannel.xml | 2 +- .../IProgressChannelProvider.xml | 2 +- .../Microsoft.ML.Runtime/IProgressEntry.xml | 2 +- .../ChoiceOption.xml | 2 +- .../OptionBase.xml | 2 +- .../UniformNumericOption.xml | 2 +- .../BooleanChoiceAttribute.xml | 2 +- .../ChoiceAttribute.xml | 2 +- .../NestOptionAttribute.xml | 2 +- .../RangeAttribute.xml | 2 +- .../Microsoft.ML.SearchSpace/SearchSpace.xml | 2 +- .../Microsoft.ML.Tokenizers/BertOptions.xml | 248 + .../Microsoft.ML.Tokenizers/BertTokenizer.xml | 1349 + dotnet/xml/Microsoft.ML.Tokenizers/Bpe.xml | 337 +- .../Microsoft.ML.Tokenizers/BpeTokenizer.xml | 687 + .../CodeGenTokenizer.xml | 1172 + .../EncodeResults`1.xml | 93 + .../EncodeSettings.xml | 107 + .../Microsoft.ML.Tokenizers/EncodedToken.xml | 147 + .../EncodingResult.xml | 191 - .../EnglishRoberta.xml | 427 +- .../EnglishRobertaTokenizer.xml | 621 + .../LlamaTokenizer.xml | 58 + .../LowerCaseNormalizer.xml | 68 +- dotnet/xml/Microsoft.ML.Tokenizers/Model.xml | 241 +- .../Microsoft.ML.Tokenizers/Normalizer.xml | 46 +- .../Microsoft.ML.Tokenizers/Phi2Tokenizer.xml | 65 + .../Microsoft.ML.Tokenizers/PreTokenizer.xml | 216 +- .../RegexPreTokenizer.xml | 118 + .../RobertaPreTokenizer.xml | 59 +- .../SentencePieceNormalizer.xml | 215 + .../SentencePieceTokenizer.xml | 1229 + dotnet/xml/Microsoft.ML.Tokenizers/Split.xml | 109 +- .../TikTokenPreTokenizer.xml | 76 - .../xml/Microsoft.ML.Tokenizers/Tiktoken.xml | 508 - .../TiktokenTokenizer.xml | 572 + dotnet/xml/Microsoft.ML.Tokenizers/Token.xml | 24 +- .../xml/Microsoft.ML.Tokenizers/Tokenizer.xml | 736 +- .../UpperCaseNormalizer.xml | 68 +- .../Microsoft.ML.Tokenizers/WhiteSpace.xml | 52 +- .../WordPieceOptions.xml | 171 + .../WordPieceTokenizer.xml | 716 + .../Attention.xml | 23 + .../AutoFormerV2.xml | 23 + .../AutoFormerV2Backbone.xml | 23 + .../AutoFormerV2Block.xml | 23 + .../BasicLayer.xml | 23 + .../Conv2dBN.xml | 23 + .../ConvLayer.xml | 23 + .../ConvModule.xml | 23 + .../FPN.xml | 23 + .../MBConv.xml | 23 + .../MLP.xml | 23 + .../PatchEmbed.xml | 23 + .../PatchMerging.xml | 23 + .../RetinaHead.xml | 23 + .../NasBertEncoder.xml | 23 + .../IIncrementalState.xml | 2 +- .../BertTaskType.xml | 4 +- .../NasBertTrainer.xml | 14 +- .../NasBertTrainer`2.xml | 8 +- .../NasBertTransformer`2.xml | 8 +- .../SentenceSimilarityTrainer.xml | 21 +- .../TextClassificationTrainer.xml | 21 +- .../TorchSharpCatalog.xml | 118 +- .../FastForestBinaryTrainer.xml | 2 +- .../FastForestRegressionTrainer.xml | 2 +- .../FastTreeBinaryTrainer.xml | 2 +- .../FastTreeRankingTrainer.xml | 2 +- .../FastTreeRegressionTrainer.xml | 2 +- .../FastTreeTweedieTrainer.xml | 2 +- .../GamBinaryTrainer.xml | 2 +- .../GamRegressionTrainer.xml | 2 +- .../LightGbmBinaryTrainer.xml | 2 +- .../LightGbmMulticlassTrainer.xml | 2 +- .../LightGbmRankingTrainer.xml | 2 +- .../LightGbmRegressionTrainer.xml | 2 +- .../AveragedLinearOptions.xml | 6 +- .../AveragedPerceptronTrainer.xml | 2 +- .../FieldAwareFactorizationMachineTrainer.xml | 2 +- .../ICalculateFeatureContribution.xml | 2 +- .../IClassificationLoss.xml | 2 +- .../Microsoft.ML.Trainers/ILossFunction`2.xml | 2 +- .../Microsoft.ML.Trainers/IRegressionLoss.xml | 2 +- .../xml/Microsoft.ML.Trainers/IScalarLoss.xml | 2 +- .../ISupportSdcaClassificationLoss.xml | 2 +- .../ISupportSdcaLoss.xml | 2 +- .../ISupportSdcaRegressionLoss.xml | 2 +- .../ITrainerEstimator`2.xml | 8 +- .../LbfgsLogisticRegressionBinaryTrainer.xml | 2 +- .../LbfgsMaximumEntropyMulticlassTrainer.xml | 2 +- .../LbfgsPoissonRegressionTrainer.xml | 2 +- .../LbfgsTrainerBase`3+OptionsBase.xml | 16 +- .../LdSvmTrainer+Options.xml | 14 +- .../Microsoft.ML.Trainers/LdSvmTrainer.xml | 2 +- .../LinearSvmTrainer+Options.xml | 8 +- .../LinearSvmTrainer.xml | 2 +- .../MatrixFactorizationTrainer.xml | 2 +- .../NaiveBayesMulticlassModelParameters.xml | 4 +- .../xml/Microsoft.ML.Trainers/OlsTrainer.xml | 2 +- .../OnlineGradientDescentTrainer.xml | 2 +- .../OnlineLinearOptions.xml | 4 +- .../RandomizedPcaTrainer.xml | 2 +- .../SdcaLogisticRegressionBinaryTrainer.xml | 2 +- .../SdcaMaximumEntropyMulticlassTrainer.xml | 2 +- .../SdcaMulticlassTrainerBase`1.xml | 2 +- .../SdcaNonCalibratedBinaryTrainer.xml | 2 +- .../SdcaNonCalibratedMulticlassTrainer.xml | 2 +- .../SdcaRegressionTrainer.xml | 2 +- .../SdcaTrainerBase`3+OptionsBase.xml | 10 +- .../SgdBinaryTrainerBase`1+OptionsBase.xml | 8 +- .../SgdCalibratedTrainer.xml | 2 +- .../SgdNonCalibratedTrainer.xml | 2 +- ...olicSgdLogisticRegressionBinaryTrainer.xml | 2 +- .../OnnxSequenceTypeAttribute.xml | 4 +- ...essionOptions+CreateOnnxSessionOptions.xml | 23 + .../OnnxSessionOptions.xml | 395 + .../OnnxSessionOptionsExtensions.xml | 70 + .../OnnxTransformer.xml | 10 +- .../IStopWordsRemoverOptions.xml | 2 +- .../LatentDirichletAllocationEstimator.xml | 2 +- .../LatentDirichletAllocationTransformer.xml | 14 +- .../TextFeaturizingEstimator.xml | 2 +- .../WordBagEstimator.xml | 2 +- .../WordEmbeddingEstimator.xml | 2 +- .../WordHashBagEstimator.xml | 2 +- .../PredictionFunctionExtensions.xml | 6 +- .../ColumnSelectingEstimator.xml | 2 +- .../CountFeatureSelectingEstimator.xml | 2 +- ...eatureContributionCalculatingEstimator.xml | 2 +- .../HashingEstimator.xml | 2 +- .../IFunctionProvider.xml | 2 +- .../KeyToValueMappingEstimator.xml | 2 +- .../KeyToVectorMappingEstimator.xml | 2 +- .../MissingValueIndicatorEstimator.xml | 2 +- .../MissingValueReplacingEstimator.xml | 2 +- ...alInformationFeatureSelectingEstimator.xml | 2 +- .../OneHotEncodingEstimator.xml | 2 +- .../OneHotHashEncodingEstimator.xml | 2 +- .../TensorFlowModel.xml | 14 +- .../TensorFlowTransformer.xml | 10 +- .../TypeConvertingEstimator.xml | 2 +- .../ValueToKeyMappingEstimator.xml | 2 +- .../ImageClassificationModelParameters.xml | 10 +- .../Microsoft.ML/AnomalyDetectionCatalog.xml | 4 +- dotnet/xml/Microsoft.ML/ClusteringCatalog.xml | 2 +- .../ConversionsExtensionsCatalog.xml | 18 +- .../xml/Microsoft.ML/CustomMappingCatalog.xml | 24 +- .../FactorizationMachineExtensions.xml | 4 +- dotnet/xml/Microsoft.ML/ICanSaveModel.xml | 2 +- .../Microsoft.ML/IDataLoaderEstimator`2.xml | 2 +- dotnet/xml/Microsoft.ML/IDataLoader`1.xml | 2 +- dotnet/xml/Microsoft.ML/IDataView.xml | 2 +- dotnet/xml/Microsoft.ML/IEstimator`1.xml | 2 +- .../Microsoft.ML/IPredictionTransformer`1.xml | 2 +- .../ISingleFeaturePredictionTransformer`1.xml | 2 +- dotnet/xml/Microsoft.ML/ITransformer.xml | 2 +- .../Microsoft.ML/ImageEstimatorsCatalog.xml | 16 +- .../xml/Microsoft.ML/LightGbmExtensions.xml | 24 +- dotnet/xml/Microsoft.ML/LoggingEventArgs.xml | 6 +- dotnet/xml/Microsoft.ML/MLContext.xml | 190 +- .../Microsoft.ML/ModelOperationsCatalog.xml | 4 +- .../xml/Microsoft.ML/NormalizationCatalog.xml | 48 +- dotnet/xml/Microsoft.ML/OnnxCatalog.xml | 378 +- ...PermutationFeatureImportanceExtensions.xml | 58 +- dotnet/xml/Microsoft.ML/RankingCatalog.xml | 22 +- .../Microsoft.ML/StandardTrainersCatalog.xml | 36 +- dotnet/xml/Microsoft.ML/TensorflowCatalog.xml | 6 +- dotnet/xml/Microsoft.ML/TextCatalog.xml | 20 +- .../Microsoft.ML/TextLoaderSaverCatalog.xml | 12 +- dotnet/xml/Microsoft.ML/TimeSeriesCatalog.xml | 140 +- dotnet/xml/Microsoft.ML/TreeExtensions.xml | 38 +- .../PackageInformation/ml-dotnet-1.7.0.json | 2 +- .../PackageInformation/ml-dotnet-3.0.0.json | 1 + .../PackageInformation/ml-dotnet-preview.json | 2 +- dotnet/xml/PackageInformation/ml-dotnet.json | 2 +- .../Microsoft.ML.Mkl.Components.json | 210 + .../Microsoft.Data.Analysis.json | 23129 +++++++++++++++ .../Microsoft.Extensions.ML.json | 205 + .../ml-dotnet-3.0.0/Microsoft.ML.AutoML.json | 2662 ++ .../Microsoft.ML.CodeGenerator.json | 31 + .../ml-dotnet-3.0.0/Microsoft.ML.Core.json | 730 + .../ml-dotnet-3.0.0/Microsoft.ML.Data.json | 3323 +++ .../Microsoft.ML.DataView.json | 777 + ...crosoft.ML.DnnImageFeaturizer.AlexNet.json | 21 + ...osoft.ML.DnnImageFeaturizer.ResNet101.json | 21 + ...rosoft.ML.DnnImageFeaturizer.ResNet18.json | 21 + ...rosoft.ML.DnnImageFeaturizer.ResNet50.json | 21 + .../Microsoft.ML.Experimental.json | 27 + .../Microsoft.ML.FastTree.json | 1455 + .../Microsoft.ML.ImageAnalytics.json | 389 + .../Microsoft.ML.KMeansClustering.json | 137 + .../Microsoft.ML.LightGbm.json | 596 + .../Microsoft.ML.Mkl.Components.json | 214 + .../Microsoft.ML.OnnxConverter.json | 25 + .../Microsoft.ML.OnnxTransformer.json | 245 + 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+ + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/dotnet/xml/FrameworksIndex/ml-dotnet-preview.xml b/dotnet/xml/FrameworksIndex/ml-dotnet-preview.xml index 892aec2b1..069639c99 100644 --- a/dotnet/xml/FrameworksIndex/ml-dotnet-preview.xml +++ b/dotnet/xml/FrameworksIndex/ml-dotnet-preview.xml @@ -44,6 +44,11 @@ + + + + + @@ -68,7 +73,6 @@ - @@ -629,9 +633,9 @@ - + - + @@ -758,8 +762,8 @@ - - + + @@ -779,6 +783,7 @@ + @@ -811,7 +816,9 @@ + + @@ -826,6 +833,8 @@ + + @@ -858,6 +867,7 @@ + @@ -997,6 +1007,7 @@ + @@ -1013,13 +1024,15 @@ - + + + @@ -1030,6 +1043,9 @@ + + + @@ -3339,6 +3355,7 @@ + @@ -3348,7 +3365,9 @@ + + @@ -3361,6 +3380,8 @@ + + @@ -3420,13 +3441,12 @@ - + - @@ -4345,9 +4365,14 @@ + + + + + @@ -4372,7 +4397,7 @@ - + @@ -5763,7 +5788,11 @@ + + + + @@ -6129,11 +6158,16 @@ + + + + + @@ -8147,142 +8181,292 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + - - - - - - - - - + + + + + - + + + + + + + + + + - + + - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + - - - - - - - - - - + + + + + + + + + + + + + + + + + + + - - - - + - - - - - + + + + + + + + + + + + + + + + + + + + + + @@ -8292,47 +8476,58 @@ + + + + + + + + + + + @@ -8373,14 +8568,17 @@ + + + @@ -8454,6 +8652,7 @@ + diff --git a/dotnet/xml/FrameworksIndex/ml-dotnet.xml b/dotnet/xml/FrameworksIndex/ml-dotnet.xml index 81b1f703b..9b62301b5 100644 --- a/dotnet/xml/FrameworksIndex/ml-dotnet.xml +++ b/dotnet/xml/FrameworksIndex/ml-dotnet.xml @@ -9,7 +9,6 @@ - @@ -45,6 +44,11 @@ + + + + + @@ -63,13 +67,13 @@ + - @@ -630,9 +634,9 @@ - + - + @@ -759,8 +763,8 @@ - - + + @@ -780,6 +784,7 @@ + @@ -812,7 +817,9 @@ + + @@ -827,6 +834,8 @@ + + @@ -851,6 +860,7 @@ + @@ -859,6 +869,7 @@ + @@ -998,6 +1009,7 @@ + @@ -1014,13 +1026,15 @@ - + + + @@ -1031,6 +1045,9 @@ + + + @@ -3340,6 +3357,7 @@ + @@ -3349,7 +3367,9 @@ + + @@ -3362,6 +3382,8 @@ + + @@ -3388,6 +3410,7 @@ + @@ -3421,13 +3444,12 @@ - + - @@ -4346,9 +4368,14 @@ + + + + + @@ -4364,6 +4391,7 @@ + @@ -4373,7 +4401,7 @@ - + @@ -5764,11 +5792,16 @@ + + + + + @@ -6130,11 +6163,16 @@ + + + + + @@ -6193,10 +6231,17 @@ + + + + + + + @@ -6867,7 +6912,9 @@ + + @@ -6906,7 +6953,9 @@ + + @@ -7006,6 +7055,7 @@ + @@ -7023,11 +7073,29 @@ + + + + + + + + + + + + + + + + + + @@ -8125,169 +8193,314 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + - - - - - - - - - - - - - - - - - - - - + + + + + + + + + - - - - - - - - - - + + + + - - + - - - - - - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + - - - - - - - - + + + + + + + + + + + + + + + + + + + - - - - - - - - - - - - - - - - - - - + - - - - - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + @@ -8297,47 +8510,58 @@ + + + + + + + + + + + @@ -8378,14 +8602,17 @@ + + + @@ -8459,6 +8686,7 @@ + @@ -9878,6 +10106,30 @@ + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/dotnet/xml/Microsoft.Data.Analysis/ArrowStringDataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/ArrowStringDataFrameColumn.xml index cfc85e8f4..aa31150c1 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/ArrowStringDataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/ArrowStringDataFrameColumn.xml @@ -163,18 +163,47 @@ - - + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.ArrowStringDataFrameColumn + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + - - + + + + + + Method Microsoft.Data.Analysis 1.0.0.0 - Microsoft.Data.Analysis.DataFrameColumn + Microsoft.Data.Analysis.ArrowStringDataFrameColumn + Microsoft.Data.Analysis.DataFrameColumn @@ -191,6 +220,103 @@ + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.DataFrameColumn + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.DataFrameColumn + + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + + + + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.ArrowStringDataFrameColumn + + + + To be added. + To be added. + To be added. + + + + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.DataFrameColumn + + + + To be added. + To be added. + To be added. + + @@ -674,6 +800,32 @@ To be added. + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Int64> + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + + @@ -783,11 +935,15 @@ - - + + - - + + + + + + Method Microsoft.Data.Analysis @@ -806,6 +962,7 @@ A boolean value indicating the validity at this . To be added. + @@ -924,7 +1081,7 @@ Microsoft.Data.Analysis.DataFrameColumn - + To be added. diff --git a/dotnet/xml/Microsoft.Data.Analysis/BooleanDataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/BooleanDataFrameColumn.xml index 469f81dd6..9612811d8 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/BooleanDataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/BooleanDataFrameColumn.xml @@ -181,8 +181,8 @@ Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Boolean> - - + + To be added. diff --git a/dotnet/xml/Microsoft.Data.Analysis/ByteDataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/ByteDataFrameColumn.xml index c0da82d44..706b7589a 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/ByteDataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/ByteDataFrameColumn.xml @@ -657,8 +657,8 @@ Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Byte> - - + + To be added. diff --git a/dotnet/xml/Microsoft.Data.Analysis/CharDataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/CharDataFrameColumn.xml index 2a74afccb..8bdc78f48 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/CharDataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/CharDataFrameColumn.xml @@ -129,8 +129,8 @@ Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Char> - - + + To be added. diff --git a/dotnet/xml/Microsoft.Data.Analysis/DataFrame.xml b/dotnet/xml/Microsoft.Data.Analysis/DataFrame.xml index 34880d0b6..6081258ae 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/DataFrame.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/DataFrame.xml @@ -349,9 +349,9 @@ Microsoft.Data.Analysis.DataFrame - - - + + + The rows to be appended to this DataFrame @@ -381,9 +381,9 @@ Microsoft.Data.Analysis.DataFrame - - - + + + An enumeration of column name and value to be appended @@ -410,9 +410,9 @@ Microsoft.Data.Analysis.DataFrame - - - + + + @@ -1221,7 +1221,7 @@ Microsoft.Data.Analysis.DataFrame - + To be added. @@ -1680,11 +1680,11 @@ - - - - - + + + + + Method Microsoft.Data.Analysis @@ -1694,45 +1694,43 @@ Microsoft.Data.Analysis.DataFrame - - - - - - - - - - - + + + + + + + + + + + - stream of CSV data to be read in + filename column separator has a header or not column names (can be empty) column types (can be empty) - number of rows to read not including the header(if present) + number of rows to read number of rows used to guess types add one column with the row index The character encoding. Defaults to UTF8 if not specified If set to true, columns with repeated names are auto-renamed. culture info for formatting values - Reads a seekable stream of CSV data into a DataFrame. + Reads a text file as a DataFrame. - - - + DataFrame To be added. - - - - - + + + + + Method Microsoft.Data.Analysis @@ -1742,34 +1740,38 @@ Microsoft.Data.Analysis.DataFrame - - - - - - - - - - - + + + + + + + + + + + + - filename + stream of CSV data to be read in column separator has a header or not column names (can be empty) column types (can be empty) - number of rows to read + number of rows to read not including the header(if present) number of rows used to guess types add one column with the row index The character encoding. Defaults to UTF8 if not specified If set to true, columns with repeated names are auto-renamed. culture info for formatting values + function used to guess the type of a column based on its values - Reads a text file as a DataFrame. + Reads a seekable stream of CSV data into a DataFrame. - DataFrame + + + To be added. @@ -1812,11 +1814,11 @@ - - - - - + + + + + Method Microsoft.Data.Analysis @@ -1826,16 +1828,17 @@ Microsoft.Data.Analysis.DataFrame - - - - - - - - - - + + + + + + + + + + + csv data passed in as a string @@ -1848,6 +1851,7 @@ add one column with the row index If set to true, columns with repeated names are auto-renamed. culture info for formatting values + function used to guess the type of a column based on its values Reads CSV data passed in as a string into a DataFrame. @@ -1872,7 +1876,7 @@ System.Threading.Tasks.Task<Microsoft.Data.Analysis.DataFrame> - + To be added. @@ -1896,7 +1900,7 @@ System.Threading.Tasks.Task<Microsoft.Data.Analysis.DataFrame> - + To be added. @@ -1920,8 +1924,8 @@ Microsoft.Data.Analysis.DataFrame - - + + To be added. @@ -5264,7 +5268,7 @@ Microsoft.Data.Analysis.DataFrame - + The column name to order by @@ -5275,6 +5279,36 @@ To be added. + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.DataFrame + + + + + + + + The column name to order by. + Sorting order. + If true, null values are always put at the end. + + Orders the data frame by a specified column. + + To be added. + To be added. + + @@ -5290,7 +5324,7 @@ Microsoft.Data.Analysis.DataFrame - + The column name to order by @@ -5301,6 +5335,34 @@ To be added. + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.DataFrame + + + + + + + The column name to order by. + If true, null values are always put at the end. + + Orders the data frame by a specified column in descending order. + + To be added. + To be added. + + @@ -5739,7 +5801,7 @@ System.Void - + To be added. @@ -5762,8 +5824,8 @@ System.Void - - + + To be added. @@ -5924,6 +5986,32 @@ To be added. + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + System.String + + + + + + Max amount of rows to show in preview. + + A preview of the contents of this as a string. + + + To be added. + + diff --git a/dotnet/xml/Microsoft.Data.Analysis/DataFrameColumn+GetBufferLengthAtIndex.xml b/dotnet/xml/Microsoft.Data.Analysis/DataFrameColumn+GetBufferLengthAtIndex.xml new file mode 100644 index 000000000..f36945212 --- /dev/null +++ b/dotnet/xml/Microsoft.Data.Analysis/DataFrameColumn+GetBufferLengthAtIndex.xml @@ -0,0 +1,25 @@ + + + + + + + Microsoft.Data.Analysis + 1.0.0.0 + + + System.Delegate + + + + + + System.Int32 + + + To be added. + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.Data.Analysis/DataFrameColumn+GetBufferSortIndex.xml b/dotnet/xml/Microsoft.Data.Analysis/DataFrameColumn+GetBufferSortIndex.xml new file mode 100644 index 000000000..c269ebfa0 --- /dev/null +++ b/dotnet/xml/Microsoft.Data.Analysis/DataFrameColumn+GetBufferSortIndex.xml @@ -0,0 +1,27 @@ + + + + + + + Microsoft.Data.Analysis + 1.0.0.0 + + + System.Delegate + + + + + + + System.Int64 + + + To be added. + To be added. + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.Data.Analysis/DataFrameColumn+GetValueAndBufferSortIndexAtBuffer`1.xml b/dotnet/xml/Microsoft.Data.Analysis/DataFrameColumn+GetValueAndBufferSortIndexAtBuffer`1.xml new file mode 100644 index 000000000..b3f2f267b --- /dev/null +++ b/dotnet/xml/Microsoft.Data.Analysis/DataFrameColumn+GetValueAndBufferSortIndexAtBuffer`1.xml @@ -0,0 +1,31 @@ + + + + + + + Microsoft.Data.Analysis + 1.0.0.0 + + + + + + System.Delegate + + + + + + + System.ValueTuple<T,System.Int32> + + + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.Data.Analysis/DataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/DataFrameColumn.xml index fed0d24e4..322f5ca1b 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/DataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/DataFrameColumn.xml @@ -359,11 +359,41 @@ - - + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.DataFrameColumn + + + + + + + + Clone column to produce a copy + + A new + To be added. + + + + + - - + + + + + + Method Microsoft.Data.Analysis @@ -389,11 +419,38 @@ - + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.DataFrameColumn + + + + + + To be added. + To be added. + To be added. + To be added. + + + + - - + + + + + Method Microsoft.Data.Analysis @@ -846,6 +903,50 @@ To be added. + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.DataFrameColumn + + + + + Returns a with no missing values. + + To be added. + To be added. + + + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.DataFrameColumn + + + + To be added. + To be added. + To be added. + + @@ -1257,11 +1358,14 @@ - + - - + + + + + Method Microsoft.Data.Analysis @@ -1505,6 +1609,34 @@ To be added. + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Int64> + + + + + + + Sorting order. + If true, null values are always put at the end. + + Returns the indices that, when applied, result in this column being sorted./>. + + To be added. + To be added. + + @@ -1712,6 +1844,32 @@ To be added. + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + System.Boolean + + + + + + The index to look up. + + Indicates if the value at this is valid (not ). + + A boolean value indicating the validity at this . + To be added. + + @@ -5455,6 +5613,47 @@ To be added. + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + System.Void + + + + + + + + + + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + + @@ -5842,7 +6041,7 @@ System.Void - + The new name. @@ -5853,10 +6052,10 @@ - + - + @@ -5866,7 +6065,7 @@ 1.0.0.0 - + [System.Obsolete] [<System.Obsolete>] @@ -5928,7 +6127,7 @@ Microsoft.Data.Analysis.DataFrameColumn - + @@ -5939,6 +6138,34 @@ To be added. + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.DataFrameColumn + + + + + + + Sorting order. + If true, null values are always put at the end. + + Returns a copy of this column sorted by its values. + + To be added. + To be added. + + @@ -6098,6 +6325,53 @@ To be added. + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + System.String + + + + + A preview of the contents of this as a string. + + A preview of the contents of this . + To be added. + + + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + System.String + + + + + + To be added. + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.Data.Analysis/DataFrameColumnCollection.xml b/dotnet/xml/Microsoft.Data.Analysis/DataFrameColumnCollection.xml index ec789e932..ff287127a 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/DataFrameColumnCollection.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/DataFrameColumnCollection.xml @@ -169,7 +169,7 @@ Microsoft.Data.Analysis.DateTimeDataFrameColumn - + The name of the column @@ -703,8 +703,8 @@ System.Void - - + + To be added. @@ -725,7 +725,7 @@ 1.0.0.0 - + [System.Obsolete] [<System.Obsolete>] diff --git a/dotnet/xml/Microsoft.Data.Analysis/DataFrameRow.xml b/dotnet/xml/Microsoft.Data.Analysis/DataFrameRow.xml index 9e4d34973..0bb60f298 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/DataFrameRow.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/DataFrameRow.xml @@ -120,7 +120,7 @@ System.Object - + The name of the column that corresponds to the return value diff --git a/dotnet/xml/Microsoft.Data.Analysis/DateTimeDataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/DateTimeDataFrameColumn.xml index 34ef71ef8..52a462095 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/DateTimeDataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/DateTimeDataFrameColumn.xml @@ -129,8 +129,8 @@ Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.DateTime> - - + + To be added. diff --git a/dotnet/xml/Microsoft.Data.Analysis/DecimalDataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/DecimalDataFrameColumn.xml index ae53ff5b9..06bd24629 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/DecimalDataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/DecimalDataFrameColumn.xml @@ -597,8 +597,8 @@ Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Decimal> - - + + To be added. diff --git a/dotnet/xml/Microsoft.Data.Analysis/DoubleDataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/DoubleDataFrameColumn.xml index 05c66361d..dc53e18c1 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/DoubleDataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/DoubleDataFrameColumn.xml @@ -649,8 +649,8 @@ Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Double> - - + + To be added. diff --git a/dotnet/xml/Microsoft.Data.Analysis/Int16DataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/Int16DataFrameColumn.xml index 4476a9838..23d72acb1 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/Int16DataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/Int16DataFrameColumn.xml @@ -657,8 +657,8 @@ Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Int16> - - + + To be added. diff --git a/dotnet/xml/Microsoft.Data.Analysis/Int32DataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/Int32DataFrameColumn.xml index a06bb118b..dd96afdee 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/Int32DataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/Int32DataFrameColumn.xml @@ -677,8 +677,8 @@ Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Int32> - - + + To be added. diff --git a/dotnet/xml/Microsoft.Data.Analysis/Int64DataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/Int64DataFrameColumn.xml index 4f620775a..05877e2d3 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/Int64DataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/Int64DataFrameColumn.xml @@ -637,8 +637,8 @@ Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Int64> - - + + To be added. diff --git a/dotnet/xml/Microsoft.Data.Analysis/PrimitiveDataFrameColumn`1.xml b/dotnet/xml/Microsoft.Data.Analysis/PrimitiveDataFrameColumn`1.xml index f9ae0cc7b..029d3e3ea 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/PrimitiveDataFrameColumn`1.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/PrimitiveDataFrameColumn`1.xml @@ -407,6 +407,34 @@ To be added. + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.PrimitiveDataFrameColumn<T> + + + + + + + The function to apply. + A boolean flag to indicate if the operation should be in place. + + Applies a function to all values in the column, that are not null. + + A new if is not set. Returns this column otherwise. + To be added. + + @@ -418,6 +446,12 @@ Microsoft.Data.Analysis 1.0.0.0 + + + [System.Obsolete("Method is obsolete, use Apply(Func<T, T> func, bool inPlace = false) instead")] + [<System.Obsolete("Method is obsolete, use Apply(Func<T, T> func, bool inPlace = false) instead")>] + + Microsoft.Data.Analysis.PrimitiveDataFrameColumn<TResult> @@ -437,7 +471,7 @@ The new column's type The function to apply - Applies a function to all the values + Applies a function to all column values. A new PrimitiveDataFrameColumn containing the new values To be added. @@ -454,6 +488,12 @@ Microsoft.Data.Analysis 1.0.0.0 + + + [System.Obsolete("Method is obsolete, use Apply(Func<T, T> func, bool inPlace = false) instead")] + [<System.Obsolete("Method is obsolete, use Apply(Func<T, T> func, bool inPlace = false) instead")>] + + System.Void @@ -461,8 +501,10 @@ - To be added. - To be added. + The function to apply + + Applies a function to all column values in place. + To be added. @@ -543,7 +585,7 @@ Microsoft.Data.Analysis.PrimitiveDataFrameColumn<T> - + To be added. @@ -576,6 +618,32 @@ To be added. + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.PrimitiveDataFrameColumn<T> + + + + + + + + Returns a clone of this column. + + + To be added. + + @@ -603,11 +671,13 @@ - + - + + + Method Microsoft.Data.Analysis @@ -629,11 +699,13 @@ - + - + + + Method Microsoft.Data.Analysis @@ -652,12 +724,36 @@ - Returns a clone of this column + Returns a clone of this column. To be added. + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.DataFrameColumn + + + + + + To be added. + To be added. + To be added. + To be added. + + @@ -702,8 +798,8 @@ Microsoft.Data.Analysis.PrimitiveDataFrameColumn<T> - - + + To be added. @@ -1000,6 +1096,49 @@ + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.PrimitiveDataFrameColumn<T> + + + + To be added. + To be added. + To be added. + + + + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.DataFrameColumn + + + + To be added. + To be added. + To be added. + + @@ -1386,9 +1525,9 @@ - Indicates if the operation should be performed in place + Indicates if the operation should be performed in place. - Returns a new column with nulls replaced by value + Returns a new column with elements replaced by . To be added. To be added. @@ -1630,7 +1769,7 @@ 1.0.0.0 - + [System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.PrimitiveDataFrameColumn<>+<GetReadOnlyDataBuffers>d__63))] [<System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.PrimitiveDataFrameColumn<>+<GetReadOnlyDataBuffers>d__63))>] @@ -1664,7 +1803,7 @@ 1.0.0.0 - + [System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.PrimitiveDataFrameColumn<>+<GetReadOnlyNullBitMapBuffers>d__64))] [<System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.PrimitiveDataFrameColumn<>+<GetReadOnlyNullBitMapBuffers>d__64))>] @@ -1685,22 +1824,48 @@ Each encodes the values for its corresponding Data buffer + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Int64> + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + + - - - - - + + + + + Method Microsoft.Data.Analysis 1.0.0.0 - System.Nullable<T> + System.Nullable<T> - + To be added. @@ -1881,14 +2046,19 @@ To be added. To be added. To be added. + - - + + - - + + + + + + Method Microsoft.Data.Analysis @@ -1905,6 +2075,7 @@ To be added. To be added. To be added. + @@ -2050,6 +2221,7 @@ To be added. To be added. To be added. + @@ -2071,6 +2243,7 @@ To be added. To be added. To be added. + @@ -2254,6 +2427,7 @@ To be added. To be added. To be added. + @@ -2705,13 +2879,40 @@ Microsoft.Data.Analysis.PrimitiveDataFrameColumn<T> - + + + + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.PrimitiveDataFrameColumn<T> + + + + To be added. + To be added. To be added. To be added. To be added. + @@ -2887,6 +3088,7 @@ To be added. To be added. To be added. + diff --git a/dotnet/xml/Microsoft.Data.Analysis/SByteDataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/SByteDataFrameColumn.xml index 2c66c6f48..74ba4bae5 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/SByteDataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/SByteDataFrameColumn.xml @@ -657,8 +657,8 @@ Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.SByte> - - + + To be added. diff --git a/dotnet/xml/Microsoft.Data.Analysis/SingleDataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/SingleDataFrameColumn.xml index 39986b742..05206475b 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/SingleDataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/SingleDataFrameColumn.xml @@ -645,8 +645,8 @@ Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Single> - - + + To be added. diff --git a/dotnet/xml/Microsoft.Data.Analysis/StringDataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/StringDataFrameColumn.xml index 7fe9db871..e16447c8e 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/StringDataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/StringDataFrameColumn.xml @@ -251,6 +251,34 @@ To be added. + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.StringDataFrameColumn + + + + + + + The function to apply. + A boolean flag to indicate if the operation should be in place. + + Applies a function to all values in the column, that are not null. + + A new if is not set. Returns this column otherwise. + To be added. + + @@ -283,6 +311,30 @@ To be added. + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.StringDataFrameColumn + + + + + + To be added. + To be added. + To be added. + To be added. + + @@ -312,11 +364,37 @@ - + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.DataFrameColumn + + + + + + To be added. + To be added. + To be added. + To be added. + + + + - + + + Method Microsoft.Data.Analysis @@ -339,6 +417,49 @@ To be added. + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.StringDataFrameColumn + + + + To be added. + To be added. + To be added. + + + + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.DataFrameColumn + + + + To be added. + To be added. + To be added. + + @@ -556,11 +677,13 @@ - To be added. - To be added. - To be added. + + Indicates if the operation should be performed in place + + Returns a new column with elements replaced by . + To be added. - To be added. + Tries to convert value to the column's DataType @@ -658,18 +781,14 @@ 1.0.0.0 - - [System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.StringDataFrameColumn+<GetEnumerator>d__34))] - [<System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.StringDataFrameColumn+<GetEnumerator>d__34))>] + + [System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.StringDataFrameColumn+<GetEnumerator>d__19))] + [<System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.StringDataFrameColumn+<GetEnumerator>d__19))>] [System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.StringDataFrameColumn+<GetEnumerator>d__31))] [<System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.StringDataFrameColumn+<GetEnumerator>d__31))>] - - [System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.StringDataFrameColumn+<GetEnumerator>d__18))] - [<System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.StringDataFrameColumn+<GetEnumerator>d__18))>] - System.Collections.Generic.IEnumerator<System.String> @@ -728,6 +847,32 @@ To be added. + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Int64> + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + + @@ -1062,10 +1207,36 @@ Microsoft.Data.Analysis.StringDataFrameColumn - + + + + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.StringDataFrameColumn + + + + To be added. + To be added. To be added. To be added. To be added. diff --git a/dotnet/xml/Microsoft.Data.Analysis/UInt16DataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/UInt16DataFrameColumn.xml index 26b816d3e..c60800f40 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/UInt16DataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/UInt16DataFrameColumn.xml @@ -657,8 +657,8 @@ Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.UInt16> - - + + To be added. diff --git a/dotnet/xml/Microsoft.Data.Analysis/UInt32DataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/UInt32DataFrameColumn.xml index 1aa2383f1..93dd54b92 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/UInt32DataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/UInt32DataFrameColumn.xml @@ -669,8 +669,8 @@ Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.UInt32> - - + + To be added. diff --git a/dotnet/xml/Microsoft.Data.Analysis/UInt64DataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/UInt64DataFrameColumn.xml index 9bdeb6afe..a0457e3bd 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/UInt64DataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/UInt64DataFrameColumn.xml @@ -625,8 +625,8 @@ Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.UInt64> - - + + To be added. diff --git a/dotnet/xml/Microsoft.Data.Analysis/VBufferDataFrameColumn`1.xml b/dotnet/xml/Microsoft.Data.Analysis/VBufferDataFrameColumn`1.xml index 8ce360d2d..3170d5497 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/VBufferDataFrameColumn`1.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/VBufferDataFrameColumn`1.xml @@ -148,6 +148,30 @@ To be added. + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.VBufferDataFrameColumn<T> + + + + + + To be added. + To be added. + To be added. + To be added. + + @@ -177,10 +201,34 @@ - + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.DataFrameColumn + + + + + + To be added. + To be added. + To be added. + To be added. + + + + - + Method @@ -204,6 +252,53 @@ To be added. + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.DataFrameColumn + + + + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.DataFrameColumn + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + + @@ -309,6 +404,32 @@ To be added. + + + + + + + Method + + Microsoft.Data.Analysis + 1.0.0.0 + + + Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Int64> + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.Extensions.ML/ServiceCollectionExtensions.xml b/dotnet/xml/Microsoft.Extensions.ML/ServiceCollectionExtensions.xml index 7776b1168..01db93b58 100644 --- a/dotnet/xml/Microsoft.Extensions.ML/ServiceCollectionExtensions.xml +++ b/dotnet/xml/Microsoft.Extensions.ML/ServiceCollectionExtensions.xml @@ -92,8 +92,8 @@ - - + + To be added. @@ -128,7 +128,7 @@ Microsoft.Extensions.DependencyInjection.IServiceCollection - + diff --git a/dotnet/xml/Microsoft.ML.AutoML.CodeGen/EstimatorType.xml b/dotnet/xml/Microsoft.ML.AutoML.CodeGen/EstimatorType.xml index 92712d214..d66ca27c3 100644 --- a/dotnet/xml/Microsoft.ML.AutoML.CodeGen/EstimatorType.xml +++ b/dotnet/xml/Microsoft.ML.AutoML.CodeGen/EstimatorType.xml @@ -18,14 +18,12 @@ - + - + - - Field Microsoft.ML.AutoML @@ -41,14 +39,12 @@ - + - + - - Field Microsoft.ML.AutoML @@ -64,14 +60,12 @@ - + - + - - Field Microsoft.ML.AutoML @@ -87,14 +81,12 @@ - + - + - - Field Microsoft.ML.AutoML @@ -110,14 +102,12 @@ - + - + - - Field Microsoft.ML.AutoML @@ -266,14 +256,12 @@ - + - + - - Field Microsoft.ML.AutoML @@ -289,14 +277,12 @@ - + - + - - Field Microsoft.ML.AutoML @@ -464,14 +450,12 @@ - + - + - - Field Microsoft.ML.AutoML @@ -487,14 +471,12 @@ - + - + - - Field Microsoft.ML.AutoML @@ -510,14 +492,12 @@ - + - + - - Field Microsoft.ML.AutoML @@ -533,14 +513,12 @@ - + - + - - Field Microsoft.ML.AutoML @@ -575,14 +553,12 @@ - + - + - - Field Microsoft.ML.AutoML @@ -617,14 +593,12 @@ - + - + - - Field Microsoft.ML.AutoML @@ -678,14 +652,12 @@ - + - + - - Field Microsoft.ML.AutoML @@ -701,14 +673,12 @@ - + - + - - Field Microsoft.ML.AutoML @@ -743,14 +713,12 @@ - + - + - - Field Microsoft.ML.AutoML @@ -766,14 +734,12 @@ - + - + - - Field Microsoft.ML.AutoML @@ -922,14 +888,12 @@ - + - + - - Field Microsoft.ML.AutoML diff --git a/dotnet/xml/Microsoft.ML.AutoML/AutoCatalog.xml b/dotnet/xml/Microsoft.ML.AutoML/AutoCatalog.xml index 5f745e8e4..d133fa9f3 100644 --- a/dotnet/xml/Microsoft.ML.AutoML/AutoCatalog.xml +++ b/dotnet/xml/Microsoft.ML.AutoML/AutoCatalog.xml @@ -20,11 +20,11 @@ - - + + - - + + @@ -44,32 +44,26 @@ - + - + - + - + - + - + - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. label column name. feature column name. example weight column name. @@ -77,17 +71,23 @@ true if use lgbm as available trainer. true if use fast tree as available trainer. true if use as available trainer. + To be added. true if use as available trainer. + To be added. if provided, use it as initial option for fast tree, otherwise the default option will be used. if provided, use it as initial option for lgbm, otherwise the default option will be used. if provided, use it as initial option for fast forest, otherwise the default option will be used. if provided, use it as initial option for , otherwise the default option will be used. + To be added. if provided, use it as initial option for , otherwise the default option will be used. + To be added. if provided, use it as search space for fast tree, otherwise the default search space will be used. if provided, use it as search space for lgbm, otherwise the default search space will be used. if provided, use it as search space for fast forest, otherwise the default search space will be used. if provided, use it as search space for , otherwise the default search space will be used. + To be added. if provided, use it as search space for , otherwise the default search space will be used. + To be added. Create a list of for binary classification. @@ -530,11 +530,11 @@ input data. + output feature column. columns that should be treated as catalog. If not specified, it will automatically infer if a column is catalog or not. columns that should be treated as numeric. If not specified, it will automatically infer if a column is catalog or not. columns that should be treated as text. If not specified, it will automatically infer if a column is catalog or not. columns that should be treated as image path. If not specified, it will automatically infer if a column is catalog or not. - output feature column. columns that won't be included when featurizing, like label Create a single featurize pipeline according to . This function will collect all columns in and not in , @@ -761,30 +761,30 @@ Microsoft.ML.AutoML.SweepablePipeline - - - - - - - - - - - - - - - - - - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + label column name. @@ -819,11 +819,11 @@ - - + + - - + + @@ -843,26 +843,23 @@ - + - + - + - To be added. - To be added. - To be added. label column name. feature column name. example weight column name. @@ -870,16 +867,19 @@ true if use lgbm as available trainer. true if use fast tree as available trainer. true if use as available trainer. + To be added. true if use as available trainer. if provided, use it as initial option for fast tree, otherwise the default option will be used. if provided, use it as initial option for lgbm, otherwise the default option will be used. if provided, use it as initial option for fast forest, otherwise the default option will be used. if provided, use it as initial option for , otherwise the default option will be used. + To be added. if provided, use it as initial option for , otherwise the default option will be used. if provided, use it as search space for fast tree, otherwise the default search space will be used. if provided, use it as search space for lgbm, otherwise the default search space will be used. if provided, use it as search space for fast forest, otherwise the default search space will be used. if provided, use it as search space for , otherwise the default search space will be used. + To be added. if provided, use it as search space for sdca, otherwise the default search space will be used. Create a list of for regression. diff --git a/dotnet/xml/Microsoft.ML.AutoML/AutoMLExperimentExtension.xml b/dotnet/xml/Microsoft.ML.AutoML/AutoMLExperimentExtension.xml index 2d79bdca6..b899195a6 100644 --- a/dotnet/xml/Microsoft.ML.AutoML/AutoMLExperimentExtension.xml +++ b/dotnet/xml/Microsoft.ML.AutoML/AutoMLExperimentExtension.xml @@ -161,7 +161,7 @@ Microsoft.ML.AutoML.AutoMLExperiment - + @@ -189,7 +189,7 @@ Microsoft.ML.AutoML.AutoMLExperiment - + @@ -217,10 +217,10 @@ Microsoft.ML.AutoML.AutoMLExperiment - - - - + + + + @@ -254,10 +254,10 @@ Microsoft.ML.AutoML.AutoMLExperiment - - - - + + + + @@ -321,10 +321,10 @@ - step size for numeric option. + step size for numeric option. set as tuner for hyper parameter optimization. @@ -422,7 +422,7 @@ - + @@ -459,8 +459,8 @@ - - + + @@ -529,10 +529,10 @@ - + set as tuner for hyper parameter optimization. If is provided, it will use that seed to initialize . Otherwise, will be used. @@ -608,15 +608,15 @@ - number of regression trees when fitting random forest. - re-fit random forests in smac for every N trials. Number of points to use for random initialization. - split ratio for fitting random forest in smac. + re-fit random forests in smac for every N trials. + number of regression trees when fitting random forest. minimum number of data points required to be in a node if it is to be split further for fitting random forest in smac. + split ratio for fitting random forest in smac. Number of search parents to use for local search in maximizing EI acquisition function. Number of random configurations when maximizing EI acquisition function. - Number of neighbours to sample from when applying one-step mutation for generating new parameters. the threshold to exit during maximizing EI acquisition function. + Number of neighbours to sample from when applying one-step mutation for generating new parameters. Set as tuner for hyper-parameter optimization. The performance of smac is in a large extend determined by , and , which are used to fit smac's inner diff --git a/dotnet/xml/Microsoft.ML.AutoML/ColumnInferenceResults.xml b/dotnet/xml/Microsoft.ML.AutoML/ColumnInferenceResults.xml index 9b5f336a4..22dd0d79d 100644 --- a/dotnet/xml/Microsoft.ML.AutoML/ColumnInferenceResults.xml +++ b/dotnet/xml/Microsoft.ML.AutoML/ColumnInferenceResults.xml @@ -57,14 +57,13 @@ - Information about the inferred columns in the dataset. + Gets information about the inferred columns in the dataset. To be added. Contains the inferred purposes of each column. See for more details. - This can be fed to the AutoML API when running an experiment. - See - for example. + This value can be fed to the AutoML API when running an experiment. + See , for example. @@ -90,7 +89,7 @@ - Inferred for the dataset. + Gets the inferred for the dataset. To be added. diff --git a/dotnet/xml/Microsoft.ML.AutoML/ColumnInformation.xml b/dotnet/xml/Microsoft.ML.AutoML/ColumnInformation.xml index 6ea515106..6328ee092 100644 --- a/dotnet/xml/Microsoft.ML.AutoML/ColumnInformation.xml +++ b/dotnet/xml/Microsoft.ML.AutoML/ColumnInformation.xml @@ -14,7 +14,7 @@ - Information about the columns in a dataset. + Provides information about the columns in a dataset. Contains information about the purpose of each column in the dataset. For instance, @@ -22,8 +22,7 @@ the columns AutoML should ignore, which column is the label, etc. can be fed to the AutoML API when running an experiment. - See - for example. + See , for example. @@ -65,7 +64,7 @@ - The dataset columns that are categorical. + Gets or sets the dataset columns that are categorical. The default value is a new, empty . @@ -89,7 +88,7 @@ - The dataset column to use for example weight. + Gets or sets the dataset column to use for example weight. To be added. To be added. @@ -111,7 +110,7 @@ - The dataset column to use as a group ID for computation in a Ranking Task. + Gets or sets the dataset column to use as a group ID for computation in a Ranking Task. If a SamplingKeyColumnName is provided, then it should be the same as this column. To be added. @@ -140,7 +139,7 @@ - The dataset columns that AutoML should ignore. + Gets the dataset columns that AutoML should ignore. The default value is a new, empty . To be added. @@ -168,7 +167,7 @@ - The dataset columns that are image paths. + Gets the dataset columns that are image paths. The default value is a new, empty . To be added. @@ -190,7 +189,7 @@ - The dataset column to use as a item ID for computation. + Gets or sets the dataset column to use as a item ID for computation. To be added. To be added. @@ -212,7 +211,7 @@ - The dataset column to use as the label. + Gets or sets the dataset column to use as the label. The default value is "Label". To be added. @@ -240,7 +239,7 @@ - The dataset columns that are numeric. + Gets the dataset columns that are numeric. The default value is a new, empty . To be added. @@ -262,14 +261,15 @@ - The dataset column to use for grouping rows. + Gets or sets the dataset column to use for grouping rows. + + To be added. + If two examples share the same sampling key column name, they are guaranteed to appear in the same subset (train or test). This can be used to ensure no label leakage from the train to the test set. If , no row grouping will be performed. - - To be added. - To be added. + @@ -294,7 +294,7 @@ - The dataset columns that are text. + Gets the dataset columns that are text. The default value is a new, empty . To be added. @@ -316,7 +316,7 @@ - The dataset column to use as a user ID for computation. + Gets or sets the dataset column to use as a user ID for computation. To be added. To be added. diff --git a/dotnet/xml/Microsoft.ML.AutoML/IDatasetManager.xml b/dotnet/xml/Microsoft.ML.AutoML/IDatasetManager.xml index c0395394b..b0e3245ce 100644 --- a/dotnet/xml/Microsoft.ML.AutoML/IDatasetManager.xml +++ b/dotnet/xml/Microsoft.ML.AutoML/IDatasetManager.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.AutoML/IEvaluateMetricManager.xml b/dotnet/xml/Microsoft.ML.AutoML/IEvaluateMetricManager.xml index e1dd3dd9a..6347be443 100644 --- a/dotnet/xml/Microsoft.ML.AutoML/IEvaluateMetricManager.xml +++ b/dotnet/xml/Microsoft.ML.AutoML/IEvaluateMetricManager.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.AutoML/IMetricManager.xml b/dotnet/xml/Microsoft.ML.AutoML/IMetricManager.xml index 55e19e17d..bdda07268 100644 --- a/dotnet/xml/Microsoft.ML.AutoML/IMetricManager.xml +++ b/dotnet/xml/Microsoft.ML.AutoML/IMetricManager.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.AutoML/IMonitor.xml b/dotnet/xml/Microsoft.ML.AutoML/IMonitor.xml index 6dee66654..617a0dceb 100644 --- a/dotnet/xml/Microsoft.ML.AutoML/IMonitor.xml +++ b/dotnet/xml/Microsoft.ML.AutoML/IMonitor.xml @@ -1,6 +1,6 @@ - + @@ -89,11 +89,11 @@ - - + + - - + + @@ -107,7 +107,7 @@ System.Void - + diff --git a/dotnet/xml/Microsoft.ML.AutoML/ISweepable.xml b/dotnet/xml/Microsoft.ML.AutoML/ISweepable.xml index 9c39f5f9c..892f667b0 100644 --- a/dotnet/xml/Microsoft.ML.AutoML/ISweepable.xml +++ b/dotnet/xml/Microsoft.ML.AutoML/ISweepable.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.AutoML/ISweepable`1.xml b/dotnet/xml/Microsoft.ML.AutoML/ISweepable`1.xml index b1b2ad515..f277504b2 100644 --- a/dotnet/xml/Microsoft.ML.AutoML/ISweepable`1.xml +++ b/dotnet/xml/Microsoft.ML.AutoML/ISweepable`1.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.AutoML/ITrialRunner.xml b/dotnet/xml/Microsoft.ML.AutoML/ITrialRunner.xml index de69ca8b5..3f5eabe5b 100644 --- a/dotnet/xml/Microsoft.ML.AutoML/ITrialRunner.xml +++ b/dotnet/xml/Microsoft.ML.AutoML/ITrialRunner.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.AutoML/ITuner.xml b/dotnet/xml/Microsoft.ML.AutoML/ITuner.xml index 7cf579ddf..1f0a17fbf 100644 --- a/dotnet/xml/Microsoft.ML.AutoML/ITuner.xml +++ b/dotnet/xml/Microsoft.ML.AutoML/ITuner.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Calibrators/ICalibrator.xml b/dotnet/xml/Microsoft.ML.Calibrators/ICalibrator.xml index ea6ce0337..8d951ce26 100644 --- a/dotnet/xml/Microsoft.ML.Calibrators/ICalibrator.xml +++ b/dotnet/xml/Microsoft.ML.Calibrators/ICalibrator.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.CodeGenerator.CodeGenerator/IWritable.xml b/dotnet/xml/Microsoft.ML.CodeGenerator.CodeGenerator/IWritable.xml index b73f8cc0b..ee1583a41 100644 --- a/dotnet/xml/Microsoft.ML.CodeGenerator.CodeGenerator/IWritable.xml +++ b/dotnet/xml/Microsoft.ML.CodeGenerator.CodeGenerator/IWritable.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.CodeGenerator/ICSharpFile.xml b/dotnet/xml/Microsoft.ML.CodeGenerator/ICSharpFile.xml index 3245e6db1..a9ba4b130 100644 --- a/dotnet/xml/Microsoft.ML.CodeGenerator/ICSharpFile.xml +++ b/dotnet/xml/Microsoft.ML.CodeGenerator/ICSharpFile.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Data/CompositeDataLoader`2.xml b/dotnet/xml/Microsoft.ML.Data/CompositeDataLoader`2.xml index 6cc330875..386ada357 100644 --- a/dotnet/xml/Microsoft.ML.Data/CompositeDataLoader`2.xml +++ b/dotnet/xml/Microsoft.ML.Data/CompositeDataLoader`2.xml @@ -1,9 +1,9 @@ - - + + - - + + @@ -31,7 +31,7 @@ Microsoft.ML.IDataLoader<TSource> - + System.IDisposable diff --git a/dotnet/xml/Microsoft.ML.Data/DataViewTypeManager.xml b/dotnet/xml/Microsoft.ML.Data/DataViewTypeManager.xml index 422f990f7..d3f27661e 100644 --- a/dotnet/xml/Microsoft.ML.Data/DataViewTypeManager.xml +++ b/dotnet/xml/Microsoft.ML.Data/DataViewTypeManager.xml @@ -36,13 +36,13 @@ System.Void - - - + + + - Native type in C#. The corresponding type of in ML.NET's type system. + Native type in C#. The attached to . This function tells that should be representation of data in in @@ -52,10 +52,10 @@ - + - + @@ -65,7 +65,7 @@ 1.0.0.0 - + [System.Obsolete("This API is deprecated, please use the new form of Register which takes in a single DataViewTypeAttribute instead.", false)] [<System.Obsolete("This API is deprecated, please use the new form of Register which takes in a single DataViewTypeAttribute instead.", false)>] @@ -83,8 +83,8 @@ - Native type in C#. The corresponding type of in ML.NET's type system. + Native type in C#. The s attached to . This function tells that should be representation of data in in diff --git a/dotnet/xml/Microsoft.ML.Data/DatabaseSource.xml b/dotnet/xml/Microsoft.ML.Data/DatabaseSource.xml index adda56aea..e7753f865 100644 --- a/dotnet/xml/Microsoft.ML.Data/DatabaseSource.xml +++ b/dotnet/xml/Microsoft.ML.Data/DatabaseSource.xml @@ -61,10 +61,10 @@ 1.0.0.0 - - - - + + + + The factory used to create the .. diff --git a/dotnet/xml/Microsoft.ML.Data/IFileHandle.xml b/dotnet/xml/Microsoft.ML.Data/IFileHandle.xml index bfd62741f..6a7da4004 100644 --- a/dotnet/xml/Microsoft.ML.Data/IFileHandle.xml +++ b/dotnet/xml/Microsoft.ML.Data/IFileHandle.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Data/IMultiStreamSource.xml b/dotnet/xml/Microsoft.ML.Data/IMultiStreamSource.xml index e0cb49293..e608985dc 100644 --- a/dotnet/xml/Microsoft.ML.Data/IMultiStreamSource.xml +++ b/dotnet/xml/Microsoft.ML.Data/IMultiStreamSource.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Data/IRowToRowMapper.xml b/dotnet/xml/Microsoft.ML.Data/IRowToRowMapper.xml index 5de8813d5..000e068e0 100644 --- a/dotnet/xml/Microsoft.ML.Data/IRowToRowMapper.xml +++ b/dotnet/xml/Microsoft.ML.Data/IRowToRowMapper.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Data/PredictionTransformerBase`1.xml b/dotnet/xml/Microsoft.ML.Data/PredictionTransformerBase`1.xml index 0ebe709fc..c3827bb00 100644 --- a/dotnet/xml/Microsoft.ML.Data/PredictionTransformerBase`1.xml +++ b/dotnet/xml/Microsoft.ML.Data/PredictionTransformerBase`1.xml @@ -1,9 +1,9 @@ - - + + - - + + @@ -32,7 +32,7 @@ Microsoft.ML.ITransformer - + System.IDisposable diff --git a/dotnet/xml/Microsoft.ML.Data/SvmLightLoaderSaverCatalog.xml b/dotnet/xml/Microsoft.ML.Data/SvmLightLoaderSaverCatalog.xml index 398e7144f..5b065b48e 100644 --- a/dotnet/xml/Microsoft.ML.Data/SvmLightLoaderSaverCatalog.xml +++ b/dotnet/xml/Microsoft.ML.Data/SvmLightLoaderSaverCatalog.xml @@ -40,9 +40,9 @@ The catalog. + The number of rows from the sample to be used for determining the number of features. The number of features in the Features column. If 0 is specified, the loader will determine it by looking at the file sample given in . - The number of rows from the sample to be used for determining the number of features. If the file contains zero-based indices, this parameter should be set to true. If they are one-based it should be set to false. A data sample to be used for determining the number of features in the Features column. @@ -112,11 +112,11 @@ The catalog. The path to the file. + The number of rows from the sample to be used for determining the number of features. The number of features in the Features column. If 0 is specified, the loader will determine it by looking at the file given in . If the file contains zero-based indices, this parameter should be set to true. If they are one-based it should be set to false. - The number of rows from the sample to be used for determining the number of features. Load a from a text file using . diff --git a/dotnet/xml/Microsoft.ML.Data/TransformerChain`1.xml b/dotnet/xml/Microsoft.ML.Data/TransformerChain`1.xml index f34d45338..152d44cdb 100644 --- a/dotnet/xml/Microsoft.ML.Data/TransformerChain`1.xml +++ b/dotnet/xml/Microsoft.ML.Data/TransformerChain`1.xml @@ -1,9 +1,9 @@ - - + + - - + + @@ -36,7 +36,7 @@ System.Collections.IEnumerable - + System.IDisposable @@ -251,8 +251,8 @@ Microsoft.ML.DataViewSchema - - + + To be added. @@ -423,8 +423,8 @@ Microsoft.ML.IDataView - - + + To be added. diff --git a/dotnet/xml/Microsoft.ML.Data/VBufferEditor.xml b/dotnet/xml/Microsoft.ML.Data/VBufferEditor.xml index 76b10178d..d441fa171 100644 --- a/dotnet/xml/Microsoft.ML.Data/VBufferEditor.xml +++ b/dotnet/xml/Microsoft.ML.Data/VBufferEditor.xml @@ -20,7 +20,7 @@ - + @@ -79,7 +79,7 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Data/VBuffer`1.xml b/dotnet/xml/Microsoft.ML.Data/VBuffer`1.xml index fbb802018..1478bd6e2 100644 --- a/dotnet/xml/Microsoft.ML.Data/VBuffer`1.xml +++ b/dotnet/xml/Microsoft.ML.Data/VBuffer`1.xml @@ -1,9 +1,9 @@ - - + + - - + + @@ -19,7 +19,7 @@ System.ValueType - + System.Collections.IEnumerable diff --git a/dotnet/xml/Microsoft.ML.Runtime/IChannel.xml b/dotnet/xml/Microsoft.ML.Runtime/IChannel.xml index 7b91a9467..7384d5637 100644 --- a/dotnet/xml/Microsoft.ML.Runtime/IChannel.xml +++ b/dotnet/xml/Microsoft.ML.Runtime/IChannel.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Runtime/IChannelProvider.xml b/dotnet/xml/Microsoft.ML.Runtime/IChannelProvider.xml index d04512116..3b9ec38a1 100644 --- a/dotnet/xml/Microsoft.ML.Runtime/IChannelProvider.xml +++ b/dotnet/xml/Microsoft.ML.Runtime/IChannelProvider.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory.xml b/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory.xml index 06d250681..a4d819d45 100644 --- a/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory.xml +++ b/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory`1.xml b/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory`1.xml index 663258f66..02d06351b 100644 --- a/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory`1.xml +++ b/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory`1.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory`2.xml b/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory`2.xml index 819965cff..847e96061 100644 --- a/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory`2.xml +++ b/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory`2.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory`3.xml b/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory`3.xml index a6bf581a0..12d1e0034 100644 --- a/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory`3.xml +++ b/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory`3.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory`4.xml b/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory`4.xml index 8254a513e..4c6b43d4e 100644 --- a/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory`4.xml +++ b/dotnet/xml/Microsoft.ML.Runtime/IComponentFactory`4.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Runtime/IExceptionContext.xml b/dotnet/xml/Microsoft.ML.Runtime/IExceptionContext.xml index f88ad4870..613a55c06 100644 --- a/dotnet/xml/Microsoft.ML.Runtime/IExceptionContext.xml +++ b/dotnet/xml/Microsoft.ML.Runtime/IExceptionContext.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Runtime/IHost.xml b/dotnet/xml/Microsoft.ML.Runtime/IHost.xml index 0bcf4d817..97be12f2d 100644 --- a/dotnet/xml/Microsoft.ML.Runtime/IHost.xml +++ b/dotnet/xml/Microsoft.ML.Runtime/IHost.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Runtime/IHostEnvironment.xml b/dotnet/xml/Microsoft.ML.Runtime/IHostEnvironment.xml index 4e0bb5271..5a944f87d 100644 --- a/dotnet/xml/Microsoft.ML.Runtime/IHostEnvironment.xml +++ b/dotnet/xml/Microsoft.ML.Runtime/IHostEnvironment.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Runtime/IPipe`1.xml b/dotnet/xml/Microsoft.ML.Runtime/IPipe`1.xml index 36d034302..37ae19d4f 100644 --- a/dotnet/xml/Microsoft.ML.Runtime/IPipe`1.xml +++ b/dotnet/xml/Microsoft.ML.Runtime/IPipe`1.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Runtime/IProgressChannel.xml b/dotnet/xml/Microsoft.ML.Runtime/IProgressChannel.xml index a5b8771ed..7e2ce2655 100644 --- a/dotnet/xml/Microsoft.ML.Runtime/IProgressChannel.xml +++ b/dotnet/xml/Microsoft.ML.Runtime/IProgressChannel.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Runtime/IProgressChannelProvider.xml b/dotnet/xml/Microsoft.ML.Runtime/IProgressChannelProvider.xml index 20a9f8fd2..49c30bdc3 100644 --- a/dotnet/xml/Microsoft.ML.Runtime/IProgressChannelProvider.xml +++ b/dotnet/xml/Microsoft.ML.Runtime/IProgressChannelProvider.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Runtime/IProgressEntry.xml b/dotnet/xml/Microsoft.ML.Runtime/IProgressEntry.xml index 9340fda58..c439ecf1c 100644 --- a/dotnet/xml/Microsoft.ML.Runtime/IProgressEntry.xml +++ b/dotnet/xml/Microsoft.ML.Runtime/IProgressEntry.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.SearchSpace.Option/ChoiceOption.xml b/dotnet/xml/Microsoft.ML.SearchSpace.Option/ChoiceOption.xml index 147824810..ee324b81b 100644 --- a/dotnet/xml/Microsoft.ML.SearchSpace.Option/ChoiceOption.xml +++ b/dotnet/xml/Microsoft.ML.SearchSpace.Option/ChoiceOption.xml @@ -13,7 +13,7 @@ - + [System.Text.Json.Serialization.JsonConverter(typeof(Microsoft.ML.SearchSpace.Converter.ChoiceOptionConverter))] [<System.Text.Json.Serialization.JsonConverter(typeof(Microsoft.ML.SearchSpace.Converter.ChoiceOptionConverter))>] diff --git a/dotnet/xml/Microsoft.ML.SearchSpace.Option/OptionBase.xml b/dotnet/xml/Microsoft.ML.SearchSpace.Option/OptionBase.xml index 6f2a10420..c72560e50 100644 --- a/dotnet/xml/Microsoft.ML.SearchSpace.Option/OptionBase.xml +++ b/dotnet/xml/Microsoft.ML.SearchSpace.Option/OptionBase.xml @@ -13,7 +13,7 @@ - + [System.Text.Json.Serialization.JsonConverter(typeof(Microsoft.ML.SearchSpace.Converter.OptionConverter))] [<System.Text.Json.Serialization.JsonConverter(typeof(Microsoft.ML.SearchSpace.Converter.OptionConverter))>] diff --git a/dotnet/xml/Microsoft.ML.SearchSpace.Option/UniformNumericOption.xml b/dotnet/xml/Microsoft.ML.SearchSpace.Option/UniformNumericOption.xml index 866ff0310..bcbe39a09 100644 --- a/dotnet/xml/Microsoft.ML.SearchSpace.Option/UniformNumericOption.xml +++ b/dotnet/xml/Microsoft.ML.SearchSpace.Option/UniformNumericOption.xml @@ -13,7 +13,7 @@ - + [System.Text.Json.Serialization.JsonConverter(typeof(Microsoft.ML.SearchSpace.Converter.NumericOptionConverter))] [<System.Text.Json.Serialization.JsonConverter(typeof(Microsoft.ML.SearchSpace.Converter.NumericOptionConverter))>] diff --git a/dotnet/xml/Microsoft.ML.SearchSpace/BooleanChoiceAttribute.xml b/dotnet/xml/Microsoft.ML.SearchSpace/BooleanChoiceAttribute.xml index 1d750de38..3cca96bb6 100644 --- a/dotnet/xml/Microsoft.ML.SearchSpace/BooleanChoiceAttribute.xml +++ b/dotnet/xml/Microsoft.ML.SearchSpace/BooleanChoiceAttribute.xml @@ -13,7 +13,7 @@ 1.0.0.0 - + System.Attribute diff --git a/dotnet/xml/Microsoft.ML.SearchSpace/ChoiceAttribute.xml b/dotnet/xml/Microsoft.ML.SearchSpace/ChoiceAttribute.xml index e156e9797..1b2fa62b5 100644 --- a/dotnet/xml/Microsoft.ML.SearchSpace/ChoiceAttribute.xml +++ b/dotnet/xml/Microsoft.ML.SearchSpace/ChoiceAttribute.xml @@ -13,7 +13,7 @@ 1.0.0.0 - + System.Attribute diff --git a/dotnet/xml/Microsoft.ML.SearchSpace/NestOptionAttribute.xml b/dotnet/xml/Microsoft.ML.SearchSpace/NestOptionAttribute.xml index 80c1fb1d0..b34f765d8 100644 --- a/dotnet/xml/Microsoft.ML.SearchSpace/NestOptionAttribute.xml +++ b/dotnet/xml/Microsoft.ML.SearchSpace/NestOptionAttribute.xml @@ -13,7 +13,7 @@ 1.0.0.0 - + System.Attribute diff --git a/dotnet/xml/Microsoft.ML.SearchSpace/RangeAttribute.xml b/dotnet/xml/Microsoft.ML.SearchSpace/RangeAttribute.xml index 3229185ea..8d3e47e20 100644 --- a/dotnet/xml/Microsoft.ML.SearchSpace/RangeAttribute.xml +++ b/dotnet/xml/Microsoft.ML.SearchSpace/RangeAttribute.xml @@ -13,7 +13,7 @@ 1.0.0.0 - + System.Attribute diff --git a/dotnet/xml/Microsoft.ML.SearchSpace/SearchSpace.xml b/dotnet/xml/Microsoft.ML.SearchSpace/SearchSpace.xml index a879db866..450a0d838 100644 --- a/dotnet/xml/Microsoft.ML.SearchSpace/SearchSpace.xml +++ b/dotnet/xml/Microsoft.ML.SearchSpace/SearchSpace.xml @@ -35,7 +35,7 @@ - + [System.Text.Json.Serialization.JsonConverter(typeof(Microsoft.ML.SearchSpace.Converter.SearchSpaceConverter))] [<System.Text.Json.Serialization.JsonConverter(typeof(Microsoft.ML.SearchSpace.Converter.SearchSpaceConverter))>] diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/BertOptions.xml b/dotnet/xml/Microsoft.ML.Tokenizers/BertOptions.xml new file mode 100644 index 000000000..77c0cbf05 --- /dev/null +++ b/dotnet/xml/Microsoft.ML.Tokenizers/BertOptions.xml @@ -0,0 +1,248 @@ + + + + + + + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.WordPieceOptions + + + + + Options for the Bert tokenizer. + + To be added. + + + + + + + + Constructor + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Boolean + + + + Gets or sets a value indicating whether to apply basic tokenization. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + Gets or sets the classification token to use. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Boolean + + + + Gets or sets a value indicating whether to tokenize the CJK characters in separate tokens. + + To be added. + + This is useful when you want to tokenize CJK characters individually. + The following Unicode ranges are considered CJK characters for this purpose: + - U+3400 - U+4DBF CJK Unified Ideographs Extension A. + - U+4E00 - U+9FFF basic set of CJK characters. + - U+F900 - U+FAFF CJK Compatibility Ideographs. + - U+20000 - U+2A6DF CJK Unified Ideographs Extension B. + - U+2A700 - U+2B73F CJK Unified Ideographs Extension C. + - U+2B740 - U+2B81F CJK Unified Ideographs Extension D. + - U+2B820 - U+2CEAF CJK Unified Ideographs Extension E. + - U+2F800 - U+2FA1F CJK Compatibility Ideographs Supplement. + + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Boolean + + + + Gets or sets a value indicating whether to lower case the input before tokenization. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + Gets or sets the masking token to use. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + Gets or sets the padding token to use. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Boolean + + + + Gets or sets a value indicating whether to remove non-spacing marks. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + Gets or sets the separator token to use. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Boolean + + + + Gets or sets a value indicating whether to split on special tokens. + + To be added. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/BertTokenizer.xml b/dotnet/xml/Microsoft.ML.Tokenizers/BertTokenizer.xml new file mode 100644 index 000000000..7b8754563 --- /dev/null +++ b/dotnet/xml/Microsoft.ML.Tokenizers/BertTokenizer.xml @@ -0,0 +1,1349 @@ + + + + + + + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.WordPieceTokenizer + + + + + Tokenizer for Bert model. + + + The BertTokenizer is a based on the WordPieceTokenizer and is used to tokenize text for Bert models. + The implementation of the BertTokenizer is based on the original Bert implementation in the Hugging Face Transformers library. + https://huggingface.co/transformers/v3.0.2/model_doc/bert.html?highlight=berttokenizerfast#berttokenizer + + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Boolean + + + + Gets a value indicating whether the tokenizer should do basic tokenization. Like clean text, normalize it, lowercasing, etc. + + To be added. + To be added. + + + + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyList<System.Int32> + + + + + + + + + List of IDs to which the special tokens will be added. + To be added. + Optional second list of IDs for sequence pairs. + To be added. + + Build model inputs from a sequence or a pair of sequence for sequence classification tasks by concatenating and adding special tokens. A BERT sequence has the following format: + - single sequence: `[CLS] tokenIds [SEP]` + - pair of sequences: `[CLS] tokenIds [SEP] additionalTokenIds [SEP]` + + The list of IDs with special tokens added. + To be added. + When is null. + + + + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Buffers.OperationStatus + + + + + + + + + + + + + List of IDs to which the special tokens will be added. + To be added. + The destination buffer to write the token IDs with special tokens added. + To be added. + The number of elements written to the destination buffer. + To be added. + Optional second list of IDs for sequence pairs. + To be added. + + Build model inputs from a sequence or a pair of sequence for sequence classification tasks by concatenating and adding special tokens. A BERT sequence has the following format: + - single sequence: `[CLS] tokenIds [SEP]` + - pair of sequences: `[CLS] tokenIds [SEP] additionalTokenIds [SEP]` + + The status of the operation. + To be added. + When is null. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + Gets the classifier token which is used when doing sequence classification (classification of the whole sequence instead of per-token classification). + It is the first token of the sequence when built with special tokens. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + Gets the classifier token Id + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.BertTokenizer + + + + + + + The stream containing the vocabulary file. + The options to use for the Bert tokenizer. + + Create a new instance of the class. + + A new instance of the class. + + When creating the tokenizer, ensure that the vocabulary stream is sourced from a trusted provider. + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.BertTokenizer + + + + + + + The path to the vocabulary file. + The options to use for the Bert tokenizer. + + Create a new instance of the class. + + A new instance of the class. + + When creating the tokenizer, ensure that the vocabulary file is sourced from a trusted provider. + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.BertTokenizer + + + + + + + + + + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.BertTokenizer + + + + + + + + + + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Threading.Tasks.Task<Microsoft.ML.Tokenizers.BertTokenizer> + + + + + + + + The stream containing the vocabulary file. + The options to use for the Bert tokenizer. + The cancellation token. + + Create a new instance of the class asynchronously. + + A task that represents the asynchronous creation of the BertTokenizer. + + When creating the tokenizer, ensure that the vocabulary stream is sourced from a trusted provider. + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Threading.Tasks.Task<Microsoft.ML.Tokenizers.BertTokenizer> + + + + + + + + The path to the vocabulary file. + The options to use for the Bert tokenizer. + The cancellation token. + + Create a new instance of the class asynchronously. + + A task that represents the asynchronous creation of the BertTokenizer. + + When creating the tokenizer, ensure that the vocabulary file is sourced from a trusted provider. + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Threading.Tasks.Task<Microsoft.ML.Tokenizers.BertTokenizer> + + + + + + + + + + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + + + + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyList<System.Int32> + + + + + + + + + List of token IDs for the first sequence. + To be added. + Optional list of token IDs for the second sequence. + To be added. + + Create a mask from the two sequences passed to be used in a sequence-pair classification task. A BERT sequence pair mask has the following format: + 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 + | first sequence | second sequence | + If is null, this method only returns the first portion of the type ids (0s). + + List of token type IDs according to the given sequence(s). + To be added. + When is null. + + + + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Buffers.OperationStatus + + + + + + + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Boolean + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Boolean + + + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyList<System.Int32> + + + + + + + + The text to encode. + Indicate whether to consider pre-tokenization before tokenization. + Indicate whether to consider normalization before tokenization. + + Encodes input text to token Ids. + + The list of encoded Ids. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyList<System.Int32> + + + + + + + + The text to encode. + Indicate whether to consider pre-tokenization before tokenization. + Indicate whether to consider normalization before tokenization. + + Encodes input text to token Ids. + + The list of encoded Ids. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyList<System.Int32> + + + + + + + + + The text to encode. + Indicate whether to add special tokens to the encoded Ids. + Indicate whether to consider pre-tokenization before tokenization. + Indicate whether to consider normalization before tokenization. + + Encodes input text to token Ids. + + The list of encoded Ids. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyList<System.Int32> + + + + + + + + + The text to encode. + Indicate whether to add special tokens to the encoded Ids. + Indicate whether to consider pre-tokenization before tokenization. + Indicate whether to consider normalization before tokenization. + + Encodes input text to token Ids. + + The list of encoded Ids. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyList<System.Int32> + + + + + + + + + + + The text to encode. + The maximum number of tokens to return. + The normalized text. + The number of characters consumed from the input text. + Indicate whether to consider pre-tokenization before tokenization. + Indicate whether to consider normalization before tokenization. + + Encodes input text to token Ids. + + The list of encoded Ids. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyList<System.Int32> + + + + + + + + + + + The text to encode. + The maximum number of tokens to return. + The normalized text. + The number of characters consumed from the input text. + Indicate whether to consider pre-tokenization before tokenization. + Indicate whether to consider normalization before tokenization. + + Encodes input text to token Ids. + + The list of encoded Ids. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyList<System.Int32> + + + + + + + + + + + + The text to encode. + The maximum number of tokens to return. + Indicate whether to add special tokens to the encoded Ids. + The normalized text. + The number of characters consumed from the input text. + Indicate whether to consider pre-tokenization before tokenization. + Indicate whether to consider normalization before tokenization. + + Encodes input text to token Ids. + + The list of encoded Ids. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyList<System.Int32> + + + + + + + + + + + + The text to encode. + The maximum number of tokens to return. + Indicate whether to add special tokens to the encoded Ids. + The normalized text. + The number of characters consumed from the input text. + Indicate whether to consider pre-tokenization before tokenization. + Indicate whether to consider normalization before tokenization. + + Encodes input text to token Ids. + + The list of encoded Ids. + To be added. + + + + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyList<System.Int32> + + + + + + + + + + List of IDs. + To be added. + Optional second list of IDs for sequence pairs. + To be added. + Indicate whether or not the token list is already formatted with special tokens for the model. + + Retrieve sequence tokens mask from a IDs list. + + A list of integers in the range [0, 1]: 1 for a special token, 0 for a sequence token. + To be added. + + + + + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Buffers.OperationStatus + + + + + + + + + + + + + + List of IDs. + To be added. + The destination buffer to write the mask. The integers written values are in the range [0, 1]: 1 for a special token, 0 for a sequence token. + To be added. + The number of elements written to the destination buffer. + To be added. + Optional second list of IDs for sequence pairs. + To be added. + Indicate whether or not the token list is already formatted with special tokens for the model. + + Retrieve sequence tokens mask from a IDs list. + + The status of the operation. + To be added. + + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Boolean + + + + Gets a value indicating whether the tokenizer should split the CJK characters into tokens. + + To be added. + + This is useful when you want to tokenize CJK characters individually. + The following Unicode ranges are considered CJK characters for this purpose: + - U+3400 - U+4DBF CJK Unified Ideographs Extension A. + - U+4E00 - U+9FFF basic set of CJK characters. + - U+F900 - U+FAFF CJK Compatibility Ideographs. + - U+20000 - U+2A6DF CJK Unified Ideographs Extension B. + - U+2A700 - U+2B73F CJK Unified Ideographs Extension C. + - U+2B740 - U+2B81F CJK Unified Ideographs Extension D. + - U+2B820 - U+2CEAF CJK Unified Ideographs Extension E. + - U+2F800 - U+2FA1F CJK Compatibility Ideographs Supplement. + + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Boolean + + + + Gets a value indicating whether the tokenizer should lowercase the input text. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + Gets the mask token used for masking values. This is the token used when training this model with masked language modeling. + This is the token which the model will try to predict. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + Gets the mask token Id + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + Gets the token used for padding, for example when batching sequences of different lengths + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + Gets padding token Id + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Boolean + + + + Gets a value indicating whether to remove non-spacing marks. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + Gets the separator token, which is used when building a sequence from multiple sequences, e.g. two sequences for sequence classification or for a text and a question for question answering. + It is also used as the last token of a sequence built with special tokens. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + Gets the separator token Id + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Boolean + + + + Gets a value indicating whether the tokenizer should split on the special tokens or treat special tokens as normal text. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Boolean + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Boolean + + + To be added. + To be added. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/Bpe.xml b/dotnet/xml/Microsoft.ML.Tokenizers/Bpe.xml index 7581ba0f4..b8e2a94b9 100644 --- a/dotnet/xml/Microsoft.ML.Tokenizers/Bpe.xml +++ b/dotnet/xml/Microsoft.ML.Tokenizers/Bpe.xml @@ -49,11 +49,11 @@ 1.0.0.0 - - - - - + + + + + The JSON file path containing the dictionary of string keys and their ids. @@ -67,79 +67,12 @@ To be added. - - - - - - - Constructor - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - - - - - - - - - The JSON stream containing the dictionary of string keys and their ids. - The stream containing the tokens's pairs list. - The unknown token to be used by the model. - The prefix to attach to sub-word units that don’t represent a beginning of word. - The suffix to attach to sub-word units that represent an end of word. - Indicate whether allowing multiple unknown tokens get fused. - - Construct a new Bpe model object to use for text encoding. - - To be added. - - - - - - - - - Constructor - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - - - - - - - - - The JSON file path containing the dictionary of string keys and their ids. - The file path containing the tokens's pairs list. - The unknown token to be used by the model. - The prefix to attach to sub-word units that don’t represent a beginning of word. - The suffix to attach to sub-word units that represent an end of word. - Indicate whether allowing multiple unknown tokens get fused. - - Construct a new Bpe model object to use for text encoding. - - To be added. - - - + - - - - - + + Property Microsoft.ML.Tokenizers @@ -156,34 +89,6 @@ To be added. - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Int32 - - - - - - - The text to encode. If the value of the parameter is true, the entire text will be treated as a special token. - Specifies whether the entire is considered a special token. This parameter is ignored in this model. - - Get the number of tokens that the input text will be encoded to. - - The number of tokens that the input text will be encoded to. This parameter is ignored in this model. - To be added. - - @@ -206,72 +111,12 @@ To be added. - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Collections.Generic.IReadOnlyList<Microsoft.ML.Tokenizers.Token> - - - - - - - The text to encode. If the value of the parameter is true, the entire text will be treated as a special token. - Specifies whether the entire is considered a special token. This parameter is ignored in this model. - - Encode a text string to a list of tokens. - - The list of tokens generated from the text tokenization. - To be added. - - - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Void - - - - - - - - The text to encode. If the value of the parameter is true, the entire text will be treated as a special token. - Specifies whether the entire is considered a special token. This parameter is ignored in this model. - The list of accumulated encoded Ids. - - Encode a split text string to a list of Ids and add them to the accumulatedIds list. - - To be added. - - - + - - - - - + + Property Microsoft.ML.Tokenizers @@ -289,14 +134,11 @@ - + - - - - - + + Property Microsoft.ML.Tokenizers @@ -382,34 +224,6 @@ To be added. - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.String - - - - - - - The Id to map to the token. - Indicate if want to skip the special tokens during the decoding. - - Map the tokenized Id to the token. - - The mapped token of the Id. - To be added. - - @@ -425,8 +239,8 @@ System.String - - + + The Id to map to the token. @@ -438,86 +252,6 @@ To be added. - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Boolean - - - - - - To be added. - To be added. - To be added. - To be added. - - - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.String - - - - - - - The Id to map to the token. - Indicate if want to consider the special tokens during the decoding. - - Map the encoded Id to the token. - - The mapped token of the Id. - To be added. - - - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Nullable<System.Int32> - - - - - - - The token to map to the Id. - Indicate if want to consider the special tokens during the encoding. - - Map the token to encoded Id. - - The mapped Id of the token. - To be added. - - @@ -533,8 +267,8 @@ System.String[] - - + + The file system path to store the generated files at. @@ -561,7 +295,7 @@ System.Collections.Generic.IReadOnlyList<Microsoft.ML.Tokenizers.Token> - + The sequence to tokenize. @@ -587,7 +321,7 @@ System.Nullable<System.Int32> - + The token to map to the Id. @@ -599,14 +333,11 @@ - + - - - - - + + Property Microsoft.ML.Tokenizers @@ -623,27 +354,5 @@ To be added. - - - - - - - Property - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Collections.Generic.IReadOnlyDictionary<System.String,System.Int32> - - - - Gets the dictionary mapping tokens to Ids. - - To be added. - To be added. - - diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/BpeTokenizer.xml b/dotnet/xml/Microsoft.ML.Tokenizers/BpeTokenizer.xml new file mode 100644 index 000000000..4ded740c6 --- /dev/null +++ b/dotnet/xml/Microsoft.ML.Tokenizers/BpeTokenizer.xml @@ -0,0 +1,687 @@ + + + + + + + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.Tokenizer + + + + + Represent the Byte Pair Encoding model. + + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyDictionary<System.String,System.Int32> + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + A prefix to be used for every subword that is not a beginning-of-word + + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + + + + + The text to encode. + The span of the text to encode which will be used if the is . + The settings used to encode the text. + + Get the number of tokens that the input text will be encoded to. + + The number of token Ids that the input text will be encoded to. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.BpeTokenizer + + + + + + + The JSON stream containing the dictionary of string keys and their ids. + The stream containing the tokens's pairs list. + + Create a new Bpe tokenizer object to use for text encoding. + + To be added. + + When creating the tokenizer, ensure that the vocabulary stream is sourced from a trusted provider. + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.BpeTokenizer + + + + + + + The JSON file path containing the dictionary of string keys and their ids. + The file path containing the tokens's pairs list. + + Create a new Bpe tokenizer object to use for text encoding. + + To be added. + + When creating the tokenizer, ensure that the vocabulary file is sourced from a trusted provider. + + + + + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.BpeTokenizer + + + + + + + + + + + + + + + The JSON stream containing the dictionary of string keys and their ids. + The stream containing the tokens's pairs list. + The pre-tokenizer to use. + The normalizer to use. + The dictionary mapping special tokens to Ids. + To be added. + The unknown token to be used by the model. + The prefix to attach to sub-word units that don’t represent a beginning of word. + The suffix to attach to sub-word units that represent an end of word. + Indicate whether allowing multiple unknown tokens get fused. + + Create a new Bpe tokenizer object to use for text encoding. + + To be added. + + When creating the tokenizer, ensure that the vocabulary stream is sourced from a trusted provider. + + + + + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.BpeTokenizer + + + + + + + + + + + + + + + The JSON file path containing the dictionary of string keys and their ids. + The file path containing the tokens's pairs list. + The pre-tokenizer to use. + The normalizer to use. + The dictionary mapping special tokens to Ids. + To be added. + The unknown token to be used by the model. + The prefix to attach to sub-word units that don’t represent a beginning of word. + The suffix to attach to sub-word units that represent an end of word. + Indicate whether allowing multiple unknown tokens get fused. + + Create a new Bpe tokenizer object to use for text encoding. + + To be added. + + When creating the tokenizer, ensure that the vocabulary file is sourced from a trusted provider. + + + + + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Threading.Tasks.Task<Microsoft.ML.Tokenizers.BpeTokenizer> + + + + + + + + + + + + + + + The JSON stream containing the dictionary of string keys and their ids. + The stream containing the tokens's pairs list. + The pre-tokenizer to use. + The normalizer to use. + The dictionary mapping special tokens to Ids. + To be added. + The unknown token to be used by the model. + The prefix to attach to sub-word units that don’t represent a beginning of word. + The suffix to attach to sub-word units that represent an end of word. + Indicate whether allowing multiple unknown tokens get fused. + + Create a new Bpe tokenizer object asynchronously to use for text encoding. + + To be added. + + When creating the tokenizer, ensure that the vocabulary stream is sourced from a trusted provider. + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + + + The list of ids that we want to decode. + + Decode the given ids, back to a String. + + The decoded string. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + + + + The list of ids that we want to decode. + Indicate whether to consider special tokens or not. + + Decode the given ids, back to a String. + + The decoded string. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Buffers.OperationStatus + + + + + + + + + The list of ids that we want to decode. + The span to store the decoded text. + The number of ids consumed during the decoding. + The number of characters written to the destination span. + + Decode the given ids back to text and store the result in the span. + + The operation status indicates whether all IDs were successfully decoded or if the is too small to contain the entire decoded result. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Buffers.OperationStatus + + + + + + + + + + The list of ids that we want to decode. + The span to store the decoded text. + Indicate whether to consider special tokens or not. + The number of ids consumed during the decoding. + The number of characters written to the destination span. + + Decode the given ids back to text and store the result in the span. + + The operation status indicates whether all IDs were successfully decoded or if the is too small to contain the entire decoded result. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.EncodeResults<System.Int32> + + + + + + + + The text to encode. + The span of the text to encode which will be used if the is . + The settings used to encode the text. + + Encodes input text to token Ids. + + The encoded results containing the list of encoded Ids. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.EncodeResults<Microsoft.ML.Tokenizers.EncodedToken> + + + + + + + + The text to encode. + The span of the text to encode which will be used if the is . + The settings used to encode the text. + + Encodes input text to a list of s. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + An optional suffix to characterize and end-of-word sub-word + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Boolean + + + + Gets or sets whether allowing multiple unknown tokens get fused + + To be added. + To be added. + + + + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + + + + + + + + + The text to encode. + The span of the text to encode which will be used if the is . + The settings used to encode the text. + Indicate whether to find the index from the end of the text. + If the tokenizer's normalization is enabled or has is , this will be set to in its normalized form; otherwise, this value will be set to . + To be added. + The token count can be generated which should be smaller than the maximum token count. + + Find the index of the maximum encoding capacity without surpassing the token limit. + + + The index of the maximum encoding capacity within the processed text without surpassing the token limit. + If is , it represents the index immediately following the last character to be included. In cases where no tokens fit, the result will be 0; conversely, + if all tokens fit, the result will be length of the input text or the if the normalization is enabled. + If is , it represents the index of the first character to be included. In cases where no tokens fit, the result will be the text length; conversely, + if all tokens fit, the result will be zero. + + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.Normalizer + + + + Gets the Normalizer in use by the Tokenizer. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.PreTokenizer + + + + Gets the PreTokenizer used by the Tokenizer. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyDictionary<System.String,System.Int32> + + + + Gets the special tokens. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + Gets or Sets unknown token. The unknown token to be used when we encounter an unknown char + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyDictionary<System.String,System.Int32> + + + + Gets the dictionary mapping tokens to Ids. + + To be added. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/CodeGenTokenizer.xml b/dotnet/xml/Microsoft.ML.Tokenizers/CodeGenTokenizer.xml new file mode 100644 index 000000000..4e4f75005 --- /dev/null +++ b/dotnet/xml/Microsoft.ML.Tokenizers/CodeGenTokenizer.xml @@ -0,0 +1,1172 @@ + + + + + + + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.Tokenizer + + + + + Represent the Byte Pair Encoding model. + Implement the CodeGen tokenizer described in https://huggingface.co/docs/transformers/main/en/model_doc/codegen#overview + + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Boolean + + + + Gets the flag indicating whether to include the beginning of sentence token in the encoding. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyDictionary<System.String,System.Int32> + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Boolean + + + + Gets the flag indicating whether to include the end of sentence token in the encoding. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Boolean + + + + Gets the flag indicating whether to include a leading space before encoding the text. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Nullable<System.Int32> + + + + Gets the end of sentence token Id. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + Gets the beginning of sentence token. + + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + + + + + The text to encode. + The span of the text to encode which will be used if the is . + The settings used to encode the text. + + Get the number of tokens that the input text will be encoded to. + + The number of token Ids that the input text will be encoded to. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + + + + + + + + The text to encode. + Indicate whether to include a leading space before encoding the text. + Indicate whether to include the beginning of sentence token in the encoding. + Indicate whether to include the end of sentence token in the encoding. + Indicate whether to consider pre-tokenization before tokenization. + Indicate whether to consider normalization before tokenization. + + Get the number of tokens that the input text will be encoded to. + + The number of tokens Ids that the input text will be encoded to. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + + + + + + + + The text to encode. + Indicate whether to include a leading space before encoding the text. + Indicate whether to include the beginning of sentence token in the encoding. + Indicate whether to include the end of sentence token in the encoding. + Indicate whether to consider pre-tokenization before tokenization. + Indicate whether to consider normalization before tokenization. + + Get the number of tokens that the input text will be encoded to. + + The number of tokens Ids that the input text will be encoded to. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.CodeGenTokenizer + + + + + + + + + + The stream containing the vocab file. + The stream containing the merges file. + Indicate whether to add a space before the token. + Indicate emitting the beginning of sentence token during the encoding. + Indicate emitting the end of sentence token during the encoding. + + Create a CodeGen tokenizer from the given vocab and merges streams. + + The CodeGen tokenizer object. + + The tokenizer will be created according to the configuration specified in https://huggingface.co/Salesforce/codegen-350M-mono/raw/main/tokenizer.json. + It is important to provide the similar vocab and merges files to the ones used in the training of the model. + The vocab and merges files can be downloaded from the following links: + https://huggingface.co/Salesforce/codegen-350M-mono/resolve/main/vocab.json?download=true + https://huggingface.co/Salesforce/codegen-350M-mono/resolve/main/merges.txt?download=true + When creating the tokenizer, ensure that the vocabulary stream is sourced from a trusted provider. + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + + + The list of ids that we want to decode. + + Decode the given ids, back to a String. + + The decoded string. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + + + + + The list of ids that we want to decode. + Indicate whether the encoded string has a leading space. + Indicate whether to consider special tokens during decoding. + + Decode the given ids, back to a String. + + The decoded string. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Buffers.OperationStatus + + + + + + + + + The list of ids that we want to decode. + The span to store the decoded text. + The number of ids consumed during the decoding. + The number of characters written to the destination span. + + Decode the given ids back to text and store the result in the span. + + The operation status indicates whether all IDs were successfully decoded or if the is too small to contain the entire decoded result. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Buffers.OperationStatus + + + + + + + + + + + The list of ids that we want to decode. + The span to store the decoded text. + Indicate whether the encoded string has a leading space. + Indicate whether to consider special tokens during decoding. + The number of ids consumed during the decoding. + The number of characters written to the destination span. + + Decode the given ids back to text and store the result in the span. + + The operation status indicates whether all IDs were successfully decoded or if the is too small to contain the entire decoded result. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.EncodeResults<System.Int32> + + + + + + + + The text to encode. + The span of the text to encode which will be used if the is . + The settings used to encode the text. + + Encodes input text to token Ids. + + The encoded results containing the list of encoded Ids. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyList<System.Int32> + + + + + + + + + + + The text to encode. + Indicate whether to include a leading space before encoding the text. + Indicate whether to include the beginning of sentence token in the encoding. + Indicate whether to include the end of sentence token in the encoding. + Indicate whether to consider pre-tokenization before tokenization. + Indicate whether to consider normalization before tokenization. + + Encodes input text to tokens Ids. + + The list of encoded Ids. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyList<System.Int32> + + + + + + + + + + + The text to encode. + Indicate whether to include a leading space before encoding the text. + Indicate whether to include the beginning of sentence token in the encoding. + Indicate whether to include the end of sentence token in the encoding. + Indicate whether to consider pre-tokenization before tokenization. + Indicate whether to consider normalization before tokenization. + + Encodes input text to tokens Ids. + + The list of encoded Ids. + To be added. + + + + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyList<System.Int32> + + + + + + + + + + + + + + + The text to encode. + The maximum number of tokens to encode. + Indicate whether to include a leading space before encoding the text. + Indicate whether to include the beginning of sentence token in the encoding. + Indicate whether to include the end of sentence token in the encoding. + If the tokenizer's normalization is enabled, the input text will be represented in its normalization form; otherwise, it will be null. + To be added. + The length of the text that encompasses the maximum encoded tokens. + Indicate whether to consider pre-tokenization before tokenization. + Indicate whether to consider normalization before tokenization. + + Encodes input text to tokens Ids up to maximum number of tokens. + + The list of encoded Ids. + To be added. + + + + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyList<System.Int32> + + + + + + + + + + + + + + + The text to encode. + The maximum number of tokens to encode. + Indicate whether to include a leading space before encoding the text. + Indicate whether to include the beginning of sentence token in the encoding. + Indicate whether to include the end of sentence token in the encoding. + If the tokenizer's normalization is enabled, the input text will be represented in its normalization form; otherwise, it will be null. + To be added. + The length of the text that encompasses the maximum encoded tokens. + Indicate whether to consider pre-tokenization before tokenization. + Indicate whether to consider normalization before tokenization. + + Encodes input text to tokens Ids up to maximum number of tokens. + + The list of encoded Ids. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.EncodeResults<Microsoft.ML.Tokenizers.EncodedToken> + + + + + + + + The text to encode. + The span of the text to encode which will be used if the is . + The settings used to encode the text. + + Encodes input text to a list of s. + + To be added. + To be added. + + + + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyList<Microsoft.ML.Tokenizers.EncodedToken> + + + + + + + + + + + + + The text to encode. + Indicate whether to include a leading space before encoding the text. + Indicate whether to include the beginning of sentence token in the encoding. + Indicate whether to include the end of sentence token in the encoding. + If the tokenizer's normalization is enabled, the input text will be represented in its normalization form; otherwise, it will null. + To be added. + Indicate whether to consider pre-tokenization before tokenization. + Indicate whether to consider normalization before tokenization. + + Encodes input text to object has the tokens list, tokens Ids, tokens offset mapping. + + The tokenization result includes the tokens list, tokens Ids, tokens offset mapping. + To be added. + + + + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyList<Microsoft.ML.Tokenizers.EncodedToken> + + + + + + + + + + + + + The text to encode. + Indicate whether to include a leading space before encoding the text. + Indicate whether to include the beginning of sentence token in the encoding. + Indicate whether to include the end of sentence token in the encoding. + If the tokenizer's normalization is enabled, the input text will be represented in its normalization form; otherwise, it will null. + To be added. + Indicate whether to consider pre-tokenization before tokenization. + Indicate whether to consider normalization before tokenization. + + Encodes input text to object has the tokens list, tokens Ids, tokens offset mapping. + + The tokenization result includes the tokens list, tokens Ids, tokens offset mapping. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Nullable<System.Int32> + + + + Gets the end of sentence token Id. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + Gets the end of sentence token. + + To be added. + To be added. + + + + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + + + + + + + + + The text to encode. + The span of the text to encode which will be used if the is . + The settings used to encode the text. + Indicate whether to find the index from the end of the text. + If the tokenizer's normalization is enabled or has is , this will be set to in its normalized form; otherwise, this value will be set to . + To be added. + The token count can be generated which should be smaller than the maximum token count. + + Find the index of the maximum encoding capacity without surpassing the token limit. + + + The index of the maximum encoding capacity within the processed text without surpassing the token limit. + If is , it represents the index immediately following the last character to be included. In cases where no tokens fit, the result will be 0; conversely, + if all tokens fit, the result will be length of the input text or the if the normalization is enabled. + If is , it represents the index of the first character to be included. In cases where no tokens fit, the result will be the text length; conversely, + if all tokens fit, the result will be zero. + + To be added. + + + + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + + + + + + + + + + + + The text to encode. + The maximum token count to limit the encoding capacity. + Indicate whether to include a leading space before encoding the text. + Indicate whether to include the beginning of sentence token in the encoding. + Indicate whether to include the end of sentence token in the encoding. + If the tokenizer's normalization is enabled, the input text will be represented in its normalization form; otherwise, it will be null. + To be added. + The token count can be generated which should be smaller than the maximum token count. + Indicate whether to consider pre-tokenization before tokenization. + Indicate whether to consider normalization before tokenization. + + Find the index of the maximum encoding capacity from the start within the text without surpassing the token limit. + + + The index of the maximum encoding capacity within the processed text without surpassing the token limit. + It represents the index immediately following the last character to be included. In cases where no tokens fit, the result will be 0; conversely, + if all tokens fit, the result will be length of the text or the if the normalization is enabled. + + To be added. + + + + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + + + + + + + + + + + + The text to encode. + The maximum token count to limit the encoding capacity. + Indicate whether to include a leading space before encoding the text. + Indicate whether to include the beginning of sentence token in the encoding. + Indicate whether to include the end of sentence token in the encoding. + If the tokenizer's normalization is enabled, the input text will be represented in its normalization form; otherwise, it will be null. + To be added. + The token count can be generated which should be smaller than the maximum token count. + Indicate whether to consider pre-tokenization before tokenization. + Indicate whether to consider normalization before tokenization. + + Find the index of the maximum encoding capacity from the start within the text without surpassing the token limit. + + + The index of the maximum encoding capacity within the processed text without surpassing the token limit. + It represents the index immediately following the last character to be included. In cases where no tokens fit, the result will be 0; conversely, + if all tokens fit, the result will be length of the text or the if the normalization is enabled. + + To be added. + + + + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + + + + + + + + + + + + The text to encode. + The maximum token count to limit the encoding capacity. + Indicate whether to include a leading space before encoding the text. + Indicate whether to include the beginning of sentence token in the encoding. + Indicate whether to include the end of sentence token in the encoding. + If the tokenizer's normalization is enabled, the input text will be represented in its normalization form; otherwise, it will be null. + To be added. + The token count can be generated which should be smaller than the maximum token count. + Indicate whether to consider pre-tokenization before tokenization. + Indicate whether to consider normalization before tokenization. + + Find the index of the maximum encoding capacity from the end within the text without surpassing the token limit. + + + The start index of the maximum encoding capacity within the processed text without surpassing the token limit. + It represents the index at the first character to be included. In cases where no tokens fit, the result will be length of the ; conversely, if all tokens fit, the result will be 0. + + + If the whole text can be encoded within the token limit, the returned index will be 0. + + + + + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + + + + + + + + + + + + The text to encode. + The maximum token count to limit the encoding capacity. + Indicate whether to include a leading space before encoding the text. + Indicate whether to include the beginning of sentence token in the encoding. + Indicate whether to include the end of sentence token in the encoding. + If the tokenizer's normalization is enabled, the input text will be represented in its normalization form; otherwise, it will be null. + To be added. + The token count can be generated which should be smaller than the maximum token count. + Indicate whether to consider pre-tokenization before tokenization. + Indicate whether to consider normalization before tokenization. + + Find the index of the maximum encoding capacity from the end within the text without surpassing the token limit. + + + The start index of the maximum encoding capacity within the processed text without surpassing the token limit. + It represents the index at the first character to be included. In cases where no tokens fit, the result will be length of the text or the if normalization is enabled; + conversely, if all tokens fit, the result will be 0. + + + If the whole text can be encoded within the token limit, the returned index will be 0. + + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.Normalizer + + + + Gets the Normalizer in use by the Tokenizer. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.PreTokenizer + + + + Gets the PreTokenizer used by the Tokenizer. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyDictionary<System.String,System.Int32> + + + + Gets the added tokens. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + The Unknown token. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Nullable<System.Int32> + + + + Gets the Unknown token Id. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyDictionary<System.String,System.Int32> + + + + Gets the dictionary mapping tokens to Ids. + + To be added. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/EncodeResults`1.xml b/dotnet/xml/Microsoft.ML.Tokenizers/EncodeResults`1.xml new file mode 100644 index 000000000..2bffc1db4 --- /dev/null +++ b/dotnet/xml/Microsoft.ML.Tokenizers/EncodeResults`1.xml @@ -0,0 +1,93 @@ + + + + + + + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + + + + System.ValueType + + + + The type of the tokens. + + The result of encoding a text. + + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + Gets or sets the count of characters consumed from the input text. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + Gets or sets the normalized text generated during the encoding process. This can be if the encoding process does not normalize the input text. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyList<T> + + + + Gets or sets the list of tokens generated from the encoded text. + + To be added. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/EncodeSettings.xml b/dotnet/xml/Microsoft.ML.Tokenizers/EncodeSettings.xml new file mode 100644 index 000000000..77c5a0a26 --- /dev/null +++ b/dotnet/xml/Microsoft.ML.Tokenizers/EncodeSettings.xml @@ -0,0 +1,107 @@ + + + + + + + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.ValueType + + + + + The settings used to encode a text. + + To be added. + + + + + + + + Constructor + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + + + Initializes the instance. + + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Boolean + + + + Gets or sets a value indicating whether to consider the input normalization during encoding. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Boolean + + + + Gets or sets a value indicating whether to consider the pre-tokenization during encoding. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + Gets or sets the maximum number of tokens to generate. + + To be added. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/EncodedToken.xml b/dotnet/xml/Microsoft.ML.Tokenizers/EncodedToken.xml new file mode 100644 index 000000000..3111228ee --- /dev/null +++ b/dotnet/xml/Microsoft.ML.Tokenizers/EncodedToken.xml @@ -0,0 +1,147 @@ + + + + + + + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.ValueType + + + + System.IEquatable<Microsoft.ML.Tokenizers.EncodedToken> + + + + + Represent the token produced from the tokenization process containing the token substring, + the id associated to the token substring, and the offset mapping to the original string. + + To be added. + + + + + + + + + Constructor + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + + + + + + The Id value associated to the token. + The token string value. + The offset mapping to the original string. + + Construct a new Token object using the token value, Id, and the offset mapping to the original string. + + To be added. + + + + + + + + + Method + + M:System.IEquatable`1.Equals(`0) + + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Boolean + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + Gets the Id value associated to the token. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Range + + + + Gets the offset mapping to the original string. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + Gets the token string value. + + To be added. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/EncodingResult.xml b/dotnet/xml/Microsoft.ML.Tokenizers/EncodingResult.xml deleted file mode 100644 index 9ab8593d4..000000000 --- a/dotnet/xml/Microsoft.ML.Tokenizers/EncodingResult.xml +++ /dev/null @@ -1,191 +0,0 @@ - - - - - - - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Object - - - - - The Encoding represents the output of a Tokenizer. - - To be added. - - - - - - - - - Constructor - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - - - - - - - The list of tokens to merge. - The list of tokens to merge. - The list of tokens to merge. - Indicate whether the offsets is mapped to the original string or the normalized string. - - Create a new object of the EncodingResult object. - - To be added. - - - - - - - - - Property - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Collections.Generic.IReadOnlyList<System.Int32> - - - - Gets list of the tokens Ids. - The Ids are the main input to a Language Model. They are the token indices, the numerical representations that a LM understands. - - To be added. - To be added. - - - - - - - - - Property - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.String - - - - Gets the normalized form of the original string. - - To be added. - To be added. - - - - - - - - - Property - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - - [System.Runtime.CompilerServices.TupleElementNames(new System.String[] { "Index", "Length" })] - [<System.Runtime.CompilerServices.TupleElementNames(new System.String[] { "Index", "Length" })>] - - - - System.Collections.Generic.IReadOnlyList<System.ValueTuple<System.Int32,System.Int32>> - - - - Gets The list of offsets. These offsets let's you slice the input string, and thus retrieve - the original part that led to producing the corresponding token. - - To be added. - To be added. - - - - - - - - - Property - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Boolean - - - - Gets the normalized form of the original string. - - To be added. - To be added. - - - - - - - - - Property - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.String - - - - Gets the original tokenized string. - - To be added. - To be added. - - - - - - - - - Property - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Collections.Generic.IReadOnlyList<System.String> - - - - Gets the generated tokens. They are the string representation of the Ids. - - To be added. - To be added. - - - - diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/EnglishRoberta.xml b/dotnet/xml/Microsoft.ML.Tokenizers/EnglishRoberta.xml index 6b186d392..23e20cce2 100644 --- a/dotnet/xml/Microsoft.ML.Tokenizers/EnglishRoberta.xml +++ b/dotnet/xml/Microsoft.ML.Tokenizers/EnglishRoberta.xml @@ -31,9 +31,9 @@ 1.0.0.0 - - - + + + The stream of a JSON file containing the dictionary of string keys and their ids. @@ -57,9 +57,9 @@ 1.0.0.0 - - - + + + The JSON file path containing the dictionary of string keys and their ids. @@ -71,62 +71,6 @@ To be added. - - - - - - - Constructor - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - - - - - - - The stream of a JSON file containing the dictionary of string keys and their ids. - The stream of a file containing the tokens's pairs list. - Remap the original GPT-2 model Ids to high occurrence ranks and values. - Indicate if want to filter the unsupported characters during the decoding. - - Construct tokenizer's model object to use with the English Robert model. - - To be added. - - - - - - - - - Constructor - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - - - - - - - The JSON file path containing the dictionary of string keys and their ids. - The file path containing the tokens's pairs list. - Remap the original GPT-2 model Ids to high occurrence ranks and values. - Indicate if want to filter the unsupported characters during the decoding. - - Construct tokenizer's model object to use with the English Robert model. - - To be added. - - @@ -153,191 +97,6 @@ To be added. - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Collections.Generic.IReadOnlyList<System.Int32> - - - - - - The Ids list to map to the high occurrence rank. - - Convert a list of tokens Ids to highest occurrence rankings. - - The list of ranks mapped from the list of Ids. - To be added. - - - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Collections.Generic.IReadOnlyList<System.Int32> - - - - - - The Ids list to map to the high occurrence values. - - Convert a list of tokens Ids to highest occurrence values. - - The list of occurrence values mapped from the list of Ids. - To be added. - - - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Collections.Generic.IReadOnlyList<System.Int32> - - - - - - The high occurrence ranks list to map to the Ids list. - - Convert a list of highest occurrence rankings to tokens Ids list . - - The list of Ids mapped from the list of ranks. - To be added. - - - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Int32 - - - - - - - The text to encode. If the value of the parameter is true, the entire text will be treated as a special token. - Specifies whether the entire is considered a special token. This parameter is ignored in this model. - - Get the number of tokens that the input text will be encoded to. - - The number of tokens that the input text will be encoded to. - To be added. - - - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Collections.Generic.IReadOnlyList<Microsoft.ML.Tokenizers.Token> - - - - - - - The text to encode. If the value of the parameter is true, the entire text will be treated as a special token. - Specifies whether the entire is considered a special token. This parameter is ignored in this model. - - Encode a text string to a list of tokens. - - The list of tokens generated from the text tokenization. - To be added. - - - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Void - - - - - - - - The text to encode. If the value of the parameter is true, the entire text will be treated as a special token. - Specifies whether the entire is considered a special token. This parameter is ignored in this model. - The list of accumulated encoded Ids. - - Encode a split text string to a list of Ids and add them to the accumulatedIds list. - - To be added. - - - - - - - - - Property - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Boolean - - - - Indicate if want to filter the unsupported characters during the decoding. - - To be added. - To be added. - - @@ -424,7 +183,7 @@ System.Collections.Generic.IReadOnlyList<System.Int32> - + The Ids list to map to the high occurrence rank. @@ -450,7 +209,7 @@ System.Collections.Generic.IReadOnlyList<System.Int32> - + The Ids list to map to the high occurrence values. @@ -461,34 +220,6 @@ To be added. - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.String - - - - - - - The Id to map to the string. - Indicate if want to skip the special tokens during the decoding. - - Map the tokenized Id to the original string. - - The mapped token of the Id. - To be added. - - @@ -504,8 +235,8 @@ System.String - - + + The Id to map to the token. @@ -517,112 +248,6 @@ To be added. - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Boolean - - - - - - The character to check. - - Check if the character is supported by the tokenizer's model. - - True if the character is supported, otherwise false. - To be added. - - - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Boolean - - - - - - To be added. - To be added. - To be added. - To be added. - - - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.String - - - - - - - The Id to map to the string. - Indicate if want to consider the special tokens during the decoding. - - Map the encoded Id to the token. - - The mapped token of the Id. - To be added. - - - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Nullable<System.Int32> - - - - - - - The token to map to the Id. - Indicate if want to consider the special tokens during the encoding. - - Map the token to encoded Id. - - The mapped Id of the token. - To be added. - - @@ -638,7 +263,7 @@ System.Collections.Generic.IReadOnlyList<System.Int32> - + The high occurrence ranks list to map to the Ids list. @@ -686,8 +311,8 @@ System.String[] - - + + The file system path to store the generated files at. @@ -736,7 +361,7 @@ System.Collections.Generic.IReadOnlyList<Microsoft.ML.Tokenizers.Token> - + The sequence to tokenize. @@ -762,7 +387,7 @@ System.Nullable<System.Int32> - + The token to map to the Id. @@ -773,27 +398,5 @@ To be added. - - - - - - - Property - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Collections.Generic.IReadOnlyDictionary<System.String,System.Int32> - - - - Gets the dictionary mapping tokens to Ids. - - To be added. - To be added. - - diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/EnglishRobertaTokenizer.xml b/dotnet/xml/Microsoft.ML.Tokenizers/EnglishRobertaTokenizer.xml new file mode 100644 index 000000000..62e0c4152 --- /dev/null +++ b/dotnet/xml/Microsoft.ML.Tokenizers/EnglishRobertaTokenizer.xml @@ -0,0 +1,621 @@ + + + + + + + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.Tokenizer + + + + + Represent the Byte Pair Encoding model. + + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + + + The mask symbol. + + Add the mask symbol to the symbols list. + + The index of the mask symbol in the symbols list. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyList<System.Int32> + + + + + + The Ids list to map to the high occurrence rank. + + Convert a list of token Ids to highest occurrence rankings. + + The list of ranks mapped from the list of Ids. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyList<System.Int32> + + + + + + The Ids list to map to the high occurrence values. + + Convert a list of token Ids to highest occurrence values. + + The list of occurrence values mapped from the list of Ids. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyList<System.Int32> + + + + + + The high occurrence ranks list to map to the Ids list. + + Convert a list of highest occurrence rankings to token Ids list . + + The list of Ids mapped from the list of ranks. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + + + + + The text to encode. + The span of the text to encode which will be used if the is . + The settings used to encode the text. + + Get the number of tokens that the input text will be encoded to. + + The number of token Ids that the input text will be encoded to. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.EnglishRobertaTokenizer + + + + + + + + The stream of a JSON file containing the dictionary of string keys and their ids. + The stream of a file containing the tokens's pairs list. + Remap the original GPT-2 model Ids to high occurrence ranks and values. + + Create tokenizer's model object to use with the English Robert model. + + To be added. + + When creating the tokenizer, ensure that the vocabulary stream is sourced from a trusted provider. + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.EnglishRobertaTokenizer + + + + + + + + The JSON file path containing the dictionary of string keys and their ids. + The file path containing the tokens's pairs list. + Remap the original GPT-2 model Ids to high occurrence ranks and values. + + Create tokenizer's model object to use with the English Robert model. + + To be added. + + When creating the tokenizer, ensure that the vocabulary file is sourced from a trusted provider. + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.EnglishRobertaTokenizer + + + + + + + + + + + The stream of a JSON file containing the dictionary of string keys and their ids. + The stream of a file containing the tokens's pairs list. + Remap the original GPT-2 model Ids to high occurrence ranks and values. + The pre-tokenizer to use. + The normalizer to use. + Indicate if want to filter the unsupported characters during the decoding. + + Create tokenizer's model object to use with the English Robert model. + + To be added. + + When creating the tokenizer, ensure that the vocabulary stream is sourced from a trusted provider. + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.EnglishRobertaTokenizer + + + + + + + + + + + The JSON file path containing the dictionary of string keys and their ids. + The file path containing the tokens's pairs list. + Remap the original GPT-2 model Ids to high occurrence ranks and values. + The pre-tokenizer to use. + The normalizer to use. + Indicate if want to filter the unsupported characters during the decoding. + + Create tokenizer's model object to use with the English Robert model. + + To be added. + + When creating the tokenizer, ensure that the vocabulary file is sourced from a trusted provider. + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + + + The list of ids that we want to decode. + + Decode the given ids, back to a String. + + The decoded string. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Buffers.OperationStatus + + + + + + + + + The list of ids that we want to decode. + The span to store the decoded text. + The number of ids consumed during the decoding. + The number of characters written to the destination span. + + Decode the given ids back to text and store the result in the span. + + The operation status indicates whether all IDs were successfully decoded or if the is too small to contain the entire decoded result. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.EncodeResults<System.Int32> + + + + + + + + The text to encode. + The span of the text to encode which will be used if the is . + The settings used to encode the text. + + Encodes input text to token Ids. + + The encoded results containing the list of encoded Ids. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.EncodeResults<Microsoft.ML.Tokenizers.EncodedToken> + + + + + + + + The text to encode. + The span of the text to encode which will be used if the is . + The settings used to encode the text. + + Encodes input text to a list of s. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Boolean + + + + Indicate if want to filter the unsupported characters during the decoding. + + To be added. + To be added. + + + + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + + + + + + + + + The text to encode. + The span of the text to encode which will be used if the is . + The settings used to encode the text. + Indicate whether to find the index from the end of the text. + If the tokenizer's normalization is enabled or has is , this will be set to in its normalized form; otherwise, this value will be set to . + To be added. + The token count can be generated which should be smaller than the maximum token count. + + Find the index of the maximum encoding capacity without surpassing the token limit. + + + The index of the maximum encoding capacity within the processed text without surpassing the token limit. + If is , it represents the index immediately following the last character to be included. In cases where no tokens fit, the result will be 0; conversely, + if all tokens fit, the result will be length of the input text or the if the normalization is enabled. + If is , it represents the index of the first character to be included. In cases where no tokens fit, the result will be the text length; conversely, + if all tokens fit, the result will be zero. + + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Boolean + + + + + + The character to check. + + Check if the character is supported by the tokenizer's model. + + True if the character is supported, otherwise false. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.Normalizer + + + + Gets the Normalizer in use by the Tokenizer. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + Gets the index of the pad symbol inside the symbols list. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.PreTokenizer + + + + Gets the PreTokenizer used by the Tokenizer. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + Gets the symbols list length. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyDictionary<System.String,System.Int32> + + + + Gets the dictionary mapping tokens to Ids. + + To be added. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/LlamaTokenizer.xml b/dotnet/xml/Microsoft.ML.Tokenizers/LlamaTokenizer.xml new file mode 100644 index 000000000..bec070085 --- /dev/null +++ b/dotnet/xml/Microsoft.ML.Tokenizers/LlamaTokenizer.xml @@ -0,0 +1,58 @@ + + + + + + + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.SentencePieceTokenizer + + + + + LlamaTokenizer is SentencePieceTokenizer which is implemented based on https://github.com/google/sentencepiece. + + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.LlamaTokenizer + + + + + + + + + The stream containing the SentencePiece Bpe model. + Indicate emitting the beginning of sentence token during the encoding. + Indicate emitting the end of sentence token during the encoding. + The additional tokens to add to the vocabulary. + + Create from the given model stream a LlamaTokenizer which is based on SentencePieceTokenizer. The model stream should contain the SentencePiece Bpe model according to + https://github.com/google/sentencepiece/blob/master/src/sentencepiece_model.proto specification. + + To be added. + + When creating the tokenizer, ensure that the vocabulary stream is sourced from a trusted provider. + + + + + diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/LowerCaseNormalizer.xml b/dotnet/xml/Microsoft.ML.Tokenizers/LowerCaseNormalizer.xml index a47f154fa..effca3aa1 100644 --- a/dotnet/xml/Microsoft.ML.Tokenizers/LowerCaseNormalizer.xml +++ b/dotnet/xml/Microsoft.ML.Tokenizers/LowerCaseNormalizer.xml @@ -37,24 +37,72 @@ To be added. + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.LowerCaseNormalizer + + + + Gets a singleton instance of the . + + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + + + The original string to normalize to lowercase form. + + Lowercase the original string. + + The lower-cased normalized string. + To be added. + + - - + + - - - - - - + + + + + + Method Microsoft.ML.Tokenizers 1.0.0.0 - Microsoft.ML.Tokenizers.NormalizedString - System.String + System.String + Microsoft.ML.Tokenizers.NormalizedString diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/Model.xml b/dotnet/xml/Microsoft.ML.Tokenizers/Model.xml index d0ce2516d..032f7cdb7 100644 --- a/dotnet/xml/Microsoft.ML.Tokenizers/Model.xml +++ b/dotnet/xml/Microsoft.ML.Tokenizers/Model.xml @@ -35,127 +35,6 @@ To be added. - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Int32 - - - - - - - The text to encode. If the value of the parameter is true, the entire text will be treated as a special token. - Specifies whether the entire is considered a special token. - - Get the number of tokens that the input text will be encoded to. - - The number of tokens that the input text will be encoded to. - - This method does the default implementation that uses the EncodeToIds method to get the number of token's Ids. - Tokenizer's models which care about performance may choose to override this method to provide a more efficient implementation. - - - - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.String - - - - - - - - The list of ids that we want to decode. - Whether the special tokens should be kept in the decoded string. - The optional Decoder to merge the given list of tokens in a string. - - Decode the given ids, back to a String. - - The decoded string. - To be added. - - - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Collections.Generic.IReadOnlyList<Microsoft.ML.Tokenizers.Token> - - - - - - - The text to encode. If the value of the parameter is true, the entire text will be treated as a special token. - Specifies whether the entire is considered a special token. - - Encode a text to a list of tokens. - - The list of tokens generated from the text tokenization. - To be added. - - - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Void - - - - - - - - The text to encode. If the value of the parameter is true, the entire text will be treated as a special token. - Specifies whether the entire is considered a special token. - The list of accumulated encoded Ids. - - Encode a text to a list of Ids and add them to the accumulatedIds list. - - - This method does the default implementation that uses the Encode method to get the token's Ids. - Tokenizer's models which care about performance may choose to override this method to provide a more efficient implementation. - - - @@ -225,32 +104,6 @@ To be added. - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.String - - - - - - - To be added. - To be added. - To be added. - To be added. - To be added. - - @@ -266,8 +119,8 @@ System.String - - + + The Id to map to the token. @@ -279,88 +132,6 @@ To be added. - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Boolean - - - - - - - - Return true if the char is valid in the tokenizer; otherwise return false. - - - To be added. - - - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.String - - - - - - - The Id to map to the token. - Indicate if want to consider the special tokens during the decoding. - - Map the encoded Id to the token. - - The mapped token of the Id. - To be added. - - - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Nullable<System.Int32> - - - - - - - The token to map to Id - Indicate if want to consider the special tokens during the encoding. - - Map the token to encoded id with the option to skip the special tokens. - - The mapped Id of the token. - To be added. - - @@ -376,8 +147,8 @@ System.String[] - - + + The file system path to store the generated files at. @@ -404,7 +175,7 @@ System.Collections.Generic.IReadOnlyList<Microsoft.ML.Tokenizers.Token> - + The sequence to tokenize. @@ -430,7 +201,7 @@ System.Nullable<System.Int32> - + The token to map to the Id. diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/Normalizer.xml b/dotnet/xml/Microsoft.ML.Tokenizers/Normalizer.xml index 6cc09c6b1..a0e628ad4 100644 --- a/dotnet/xml/Microsoft.ML.Tokenizers/Normalizer.xml +++ b/dotnet/xml/Microsoft.ML.Tokenizers/Normalizer.xml @@ -36,23 +36,49 @@ - - + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + + + The original string to normalize. + + Process the original string to modify it and obtain a normalized string. + + The normalized string. + To be added. + + + + + - - - - - - + + + + + + Method Microsoft.ML.Tokenizers 1.0.0.0 - Microsoft.ML.Tokenizers.NormalizedString - System.String + System.String + Microsoft.ML.Tokenizers.NormalizedString diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/Phi2Tokenizer.xml b/dotnet/xml/Microsoft.ML.Tokenizers/Phi2Tokenizer.xml new file mode 100644 index 000000000..2053461a4 --- /dev/null +++ b/dotnet/xml/Microsoft.ML.Tokenizers/Phi2Tokenizer.xml @@ -0,0 +1,65 @@ + + + + + + + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.CodeGenTokenizer + + + + + Represent the Byte Pair Encoding model. + Implement the Phi2 tokenizer described in https://huggingface.co/microsoft/phi-2 + + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.Phi2Tokenizer + + + + + + + + + + The stream containing the vocab file. + The stream containing the merges file. + Indicate whether to add a space before the token. + Indicate emitting the beginning of sentence token during the encoding. + Indicate emitting the end of sentence token during the encoding. + + Create a CodeGen Phi2 tokenizer from the given vocab and merges streams. + + The CodeGen tokenizer object. + + The tokenizer will be created according to the configuration specified in https://huggingface.co/microsoft/phi-2/raw/main/tokenizer.json. + It is important to provide the similar vocab and merges files to the ones used in the training of the model. + The vocab and merges files can be downloaded from the following links: + https://huggingface.co/microsoft/phi-2/resolve/main/vocab.json?download=true + https://huggingface.co/microsoft/phi-2/resolve/main/merges.txt?download=true + When creating the tokenizer, ensure that the vocabulary stream is sourced from a trusted provider. + + + + + diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/PreTokenizer.xml b/dotnet/xml/Microsoft.ML.Tokenizers/PreTokenizer.xml index 0b3ace856..f82ab6bea 100644 --- a/dotnet/xml/Microsoft.ML.Tokenizers/PreTokenizer.xml +++ b/dotnet/xml/Microsoft.ML.Tokenizers/PreTokenizer.xml @@ -36,57 +36,231 @@ To be added. + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.PreTokenizer + + + + + + The dictionary containing the special tokens and their corresponding ids. + + Create a new instance of the class which split the text at the white spaces. + + The pre-tokenizer that splits the text at the white spaces. + + This pre-tokenizer uses the regex pattern "\S+" to split the text into tokens. + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.PreTokenizer + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.PreTokenizer + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.PreTokenizer + + + + + + The dictionary containing the special tokens and their corresponding ids. + + Create a new instance of the class which split the text at the word or non-word boundary. + The word is a set of alphabet, numeric, and underscore characters. + + The pre-tokenizer that splits the text at the word boundary. + + This pre-tokenizer uses the regex pattern "\w+|[^\w\s]+" to split the text into tokens. + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.PreTokenizer + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.PreTokenizer + + + + + + The dictionary containing the special tokens and their corresponding ids. + + Create a new instance of the class which split the text at the whitespace or punctuation characters. + + The pre-tokenizer that splits the text at the whitespace or punctuation characters. + + This pre-tokenizer uses the regex pattern "\w+|[\p{P}]" to split the text into tokens. + + + - - - - - + + + + + Method Microsoft.ML.Tokenizers 1.0.0.0 - System.Collections.Generic.IReadOnlyList<Microsoft.ML.Tokenizers.Split> + System.Collections.Generic.IEnumerable<System.ValueTuple<System.Int32,System.Int32>> + + + [System.Runtime.CompilerServices.TupleElementNames(new System.String[] { "Offset", "Length" })] + [<System.Runtime.CompilerServices.TupleElementNames(new System.String[] { "Offset", "Length" })>] + + - + - The string to split into tokens. + The character span to split into tokens. - Splits the given string in multiple substrings at the word boundary, keeping track of the offsets of said substrings from the original string. + Get the offsets and lengths of the tokens relative to the original string. - The list of the splits containing the tokens and the token's offsets to the original string. + The offsets and lengths of the tokens, expressed as pairs, are relative to the original string. To be added. - - - - - + + + + + + + + + Method Microsoft.ML.Tokenizers 1.0.0.0 - System.Collections.Generic.IEnumerable<Microsoft.ML.Tokenizers.Split> + System.Collections.Generic.IEnumerable<System.ValueTuple<System.Int32,System.Int32>> + + + [System.Runtime.CompilerServices.TupleElementNames(new System.String[] { "Offset", "Length" })] + [<System.Runtime.CompilerServices.TupleElementNames(new System.String[] { "Offset", "Length" })>] + + + System.Collections.Generic.IReadOnlyList<Microsoft.ML.Tokenizers.Split> - - + + The string to split into tokens. - Indicates whether to consider the special tokens. + The string to split into tokens. - Splits the given string in multiple substrings at the word boundary, keeping track of the offsets of said substrings from the original string. + Get the offsets and lengths of the tokens relative to the . - The list of the splits containing the tokens and the token's offsets to the original string. + The offsets and lengths of the tokens, expressed as pairs, are relative to the original string. To be added. diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/RegexPreTokenizer.xml b/dotnet/xml/Microsoft.ML.Tokenizers/RegexPreTokenizer.xml new file mode 100644 index 000000000..cc37a07cf --- /dev/null +++ b/dotnet/xml/Microsoft.ML.Tokenizers/RegexPreTokenizer.xml @@ -0,0 +1,118 @@ + + + + + + + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.PreTokenizer + + + + + The pre-tokenizer for Tiktoken tokenizer. + + To be added. + + + + + + + + + + + + + Constructor + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + + + + + + The regex to use for splitting the text into smaller tokens in the pre-tokenization process. + The dictionary containing the special tokens and their corresponding ids. + To be added. + + Initializes a new instance of the class. + + To be added. + When regex is null + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IEnumerable<System.ValueTuple<System.Int32,System.Int32>> + + + [System.Runtime.CompilerServices.TupleElementNames(new System.String[] { "Offset", "Length" })] + [<System.Runtime.CompilerServices.TupleElementNames(new System.String[] { "Offset", "Length" })>] + + + + + + + + The string to split into tokens. + + Get the offsets and lengths of the tokens relative to the . + + The offsets and lengths of the tokens, expressed as pairs, are relative to the original string. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IEnumerable<System.ValueTuple<System.Int32,System.Int32>> + + + [System.Runtime.CompilerServices.TupleElementNames(new System.String[] { "Offset", "Length" })] + [<System.Runtime.CompilerServices.TupleElementNames(new System.String[] { "Offset", "Length" })>] + + + + + + + + The string to split into tokens. + + Get the offsets and lengths of the tokens relative to the . + + The offsets and lengths of the tokens, expressed as pairs, are relative to the original string. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/RobertaPreTokenizer.xml b/dotnet/xml/Microsoft.ML.Tokenizers/RobertaPreTokenizer.xml index 9b3ebfea9..c44fa0baa 100644 --- a/dotnet/xml/Microsoft.ML.Tokenizers/RobertaPreTokenizer.xml +++ b/dotnet/xml/Microsoft.ML.Tokenizers/RobertaPreTokenizer.xml @@ -79,56 +79,73 @@ - - - - - + + + + + Method Microsoft.ML.Tokenizers 1.0.0.0 - System.Collections.Generic.IReadOnlyList<Microsoft.ML.Tokenizers.Split> + System.Collections.Generic.IEnumerable<System.ValueTuple<System.Int32,System.Int32>> + + + [System.Runtime.CompilerServices.TupleElementNames(new System.String[] { "Offset", "Length" })] + [<System.Runtime.CompilerServices.TupleElementNames(new System.String[] { "Offset", "Length" })>] + + - + - The string to split into tokens. + The string to split into tokens. - Splits the given string in multiple substrings at the word boundary, keeping track of the offsets of said substrings from the original string. + Get the offsets and lengths of the tokens relative to the . - The list of the splits containing the tokens and the token's offsets to the original string. + The offsets and lengths of the tokens, expressed as pairs, are relative to the original string. To be added. - - - - - + + + + + + + + + Method Microsoft.ML.Tokenizers 1.0.0.0 - System.Collections.Generic.IEnumerable<Microsoft.ML.Tokenizers.Split> + System.Collections.Generic.IEnumerable<System.ValueTuple<System.Int32,System.Int32>> + + + [System.Runtime.CompilerServices.TupleElementNames(new System.String[] { "Offset", "Length" })] + [<System.Runtime.CompilerServices.TupleElementNames(new System.String[] { "Offset", "Length" })>] + + + System.Collections.Generic.IReadOnlyList<Microsoft.ML.Tokenizers.Split> - - + + The string to split into tokens. - Indicates whether to keep the special tokens. + The string to split into tokens. - Splits the given string in multiple substrings at the word boundary, keeping track of the offsets of said substrings from the original string. + Get the offsets and lengths of the tokens relative to the . - The list of the splits containing the tokens and the token's offsets to the original string. + The offsets and lengths of the tokens, expressed as pairs, are relative to the original string. To be added. diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/SentencePieceNormalizer.xml b/dotnet/xml/Microsoft.ML.Tokenizers/SentencePieceNormalizer.xml new file mode 100644 index 000000000..aec6c85ee --- /dev/null +++ b/dotnet/xml/Microsoft.ML.Tokenizers/SentencePieceNormalizer.xml @@ -0,0 +1,215 @@ + + + + + + + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.Normalizer + + + + + Normalize the string to lowercase form before processing it with the tokenizer. + + To be added. + + + + + + + + + Constructor + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + + Creates a LowerCaseNormalizer object. + + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Boolean + + + + Indicate emitting the dummy prefix character U+2581 at the beginning of sentence token during the encoding. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Boolean + + + + Indicate escaping white spaces by adding the dummy prefix character U+2581. + + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + + + The original string to normalize. + + Normalize the original string according to SentencePiece normalization. + + The normalized string. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + + + The original string to normalize. + + Normalize the original string according to SentencePiece normalization. + + The normalized string. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Boolean + + + + Indicate removing extra white spaces from the original string during the normalization. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyDictionary<System.String,System.Int32> + + + + Indicate the added tokens. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Boolean + + + + Indicate treating white space as suffix. + + To be added. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/SentencePieceTokenizer.xml b/dotnet/xml/Microsoft.ML.Tokenizers/SentencePieceTokenizer.xml new file mode 100644 index 000000000..b8964279a --- /dev/null +++ b/dotnet/xml/Microsoft.ML.Tokenizers/SentencePieceTokenizer.xml @@ -0,0 +1,1229 @@ + + + + + + + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.Tokenizer + + + + + SentencePieceBpe is a tokenizer that splits the input into tokens using the SentencePiece Bpe model. + + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Boolean + + + + Indicate emitting the beginning of sentence token during the encoding. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Boolean + + + + Indicate emitting the prefix character U+2581 at the beginning of sentence token during the normalization and encoding. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Boolean + + + + Indicate emitting the end of sentence token during the encoding. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + The id of the beginning of sentence token. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + The beginning of sentence token. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Boolean + + + + Specifies whether the model will do a byte fallback when it encounters unknown tokens during the encoding process. + + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + + + + + The text to encode. + The span of the text to encode which will be used if the is . + The settings used to encode the text. + + Get the number of tokens that the input text will be encoded to. + + The number of token Ids that the input text will be encoded to. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + + + + + + + The text to encode. + Indicate emitting the beginning of sentence token during the encoding. + Indicate emitting the end of sentence token during the encoding. + Indicate whether to consider pre-tokenization before tokenization. + Indicate whether to consider normalization before tokenization. + + Get the number of tokens that the input text will be encoded to. + + The number of token Ids that the input text will be encoded to. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + + + + + + + The text to encode. + Indicate emitting the beginning of sentence token during the encoding. + Indicate emitting the end of sentence token during the encoding. + Indicate whether to consider pre-tokenization before tokenization. + Indicate whether to consider normalization before tokenization. + + Get the number of tokens that the input text will be encoded to. + + The number of token Ids that the input text will be encoded to. + To be added. + + + + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + + + + + + + + + + + The text to encode. + Indicate emitting the beginning of sentence token during the encoding. + Indicate emitting the end of sentence token during the encoding. + Indicate whether to consider pre-tokenization before tokenization. + Indicate whether to consider normalization before tokenization. + If the tokenizer's normalization is enabled or is false, this will be set to in its normalized form; otherwise, this value will be set to null. + To be added. + The length of the text that encompasses the maximum encoded tokens. + The maximum number of tokens to encode. + + Get the number of tokens that the input text will be encoded to. + + The number of tokens that the input text will be encoded to. + To be added. + + + + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + + + + + + + + + + + The text to encode. + Indicate emitting the beginning of sentence token during the encoding. + Indicate emitting the end of sentence token during the encoding. + Indicate whether to consider pre-tokenization before tokenization. + Indicate whether to consider normalization before tokenization. + If the tokenizer's normalization is enabled or is false, this will be set to in its normalized form; otherwise, this value will be set to null. + To be added. + The length of the text that encompasses the maximum encoded tokens. + The maximum number of tokens to encode. + + Get the number of tokens that the input text will be encoded to. + + The number of tokens that the input text will be encoded to. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + + + The list of ids that we want to decode. + + Decode the given ids, back to a String. + + The decoded string. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + + + + The list of ids that we want to decode. + Indicate whether to consider special tokens during decoding. + + Decode the given ids, back to a String. + + The decoded string. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Buffers.OperationStatus + + + + + + + + + The list of ids that we want to decode. + The span to store the decoded text. + The number of ids consumed during the decoding. + The number of characters written to the destination span. + + Decode the given ids back to text and store the result in the span. + + The operation status indicates whether all IDs were successfully decoded or if the is too small to contain the entire decoded result. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Buffers.OperationStatus + + + + + + + + + + The list of ids that we want to decode. + The span to store the decoded text. + Indicate whether to consider special tokens during decoding. + The number of ids consumed during the decoding. + The number of characters written to the destination span. + + Decode the given ids back to text and store the result in the span. + + The operation status indicates whether all IDs were successfully decoded or if the is too small to contain the entire decoded result. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.EncodeResults<System.Int32> + + + + + + + + The text to encode. + The span of the text to encode which will be used if the is . + The settings used to encode the text. + + Encodes input text to token Ids. + + The encoded results containing the list of encoded Ids. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyList<System.Int32> + + + + + + + + + + The text to encode. + Indicate emitting the beginning of sentence token during the encoding. + Indicate emitting the end of sentence token during the encoding. + Indicate whether to consider pre-tokenization before tokenization. + Indicate whether to consider normalization before tokenization. + + Encodes input text to token Ids. + + The list of encoded Ids. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyList<System.Int32> + + + + + + + + + + The text to encode. + Indicate emitting the beginning of sentence token during the encoding. + Indicate emitting the end of sentence token during the encoding. + Indicate whether to consider pre-tokenization before tokenization. + Indicate whether to consider normalization before tokenization. + + Encodes input text to token Ids. + + The list of encoded Ids. + To be added. + + + + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyList<System.Int32> + + + + + + + + + + + + + + The text to encode. + Indicate emitting the beginning of sentence token during the encoding. + Indicate emitting the end of sentence token during the encoding. + The maximum number of tokens to encode. + If the tokenizer's normalization is enabled or is false, this will be set to in its normalized form; otherwise, this value will be set to null. + To be added. + The length of the text that encompasses the maximum encoded tokens. + Indicate whether to consider pre-tokenization before tokenization. + Indicate whether to consider normalization before tokenization. + + Encodes input text to token Ids up to maximum number of tokens. + + The list of encoded Ids. + To be added. + + + + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyList<System.Int32> + + + + + + + + + + + + + + The text to encode. + Indicate emitting the beginning of sentence token during the encoding. + Indicate emitting the end of sentence token during the encoding. + The maximum number of tokens to encode. + If the tokenizer's normalization is enabled or is false, this will be set to in its normalized form; otherwise, this value will be set to null. + To be added. + The length of the text that encompasses the maximum encoded tokens. + Indicate whether to consider pre-tokenization before tokenization. + Indicate whether to consider normalization before tokenization. + + Encodes input text to token Ids up to maximum number of tokens. + + The list of encoded Ids. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.EncodeResults<Microsoft.ML.Tokenizers.EncodedToken> + + + + + + + + The text to encode. + The span of the text to encode which will be used if the is . + The settings used to encode the text. + + Encodes input text to a list of s. + + To be added. + To be added. + + + + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyList<Microsoft.ML.Tokenizers.EncodedToken> + + + + + + + + + + + + The text to encode. + If the tokenizer's normalization is enabled or is false, this will be set to in its normalized form; otherwise, this value will be set to null. + To be added. + Indicate emitting the beginning of sentence token during the encoding. + Indicate emitting the end of sentence token during the encoding. + Indicate whether to consider pre-tokenization before tokenization. + Indicate whether to consider normalization before tokenization. + + Encodes input text a list of s with string value of the token, id, and offset. + + The tokenization result includes a list of s with string value of the token, id, and offset. + To be added. + + + + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyList<Microsoft.ML.Tokenizers.EncodedToken> + + + + + + + + + + + + The text to encode. + If the tokenizer's normalization is enabled or is false, this will be set to in its normalized form; otherwise, this value will be set to null. + To be added. + Indicate emitting the beginning of sentence token during the encoding. + Indicate emitting the end of sentence token during the encoding. + Indicate whether to consider pre-tokenization before tokenization. + Indicate whether to consider normalization before tokenization. + + Encodes input text a list of s with string value of the token, id, and offset. + + The tokenization result includes a list of s with string value of the token, id, and offset. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + The id of the end of sentence token. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + The end of sentence token. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Boolean + + + + Indicate if the spaces should be replaced with character U+2581 during the normalization and encoding. + + To be added. + To be added. + + + + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + + + + + + + + + The text to encode. + The span of the text to encode which will be used if the is . + The settings used to encode the text. + Indicate whether to find the index from the end of the text. + If the tokenizer's normalization is enabled or has is , this will be set to in its normalized form; otherwise, this value will be set to . + To be added. + The token count can be generated which should be smaller than the maximum token count. + + Find the index of the maximum encoding capacity without surpassing the token limit. + + + The index of the maximum encoding capacity within the processed text without surpassing the token limit. + If is , it represents the index immediately following the last character to be included. In cases where no tokens fit, the result will be 0; conversely, + if all tokens fit, the result will be length of the input text or the if the normalization is enabled. + If is , it represents the index of the first character to be included. In cases where no tokens fit, the result will be the text length; conversely, + if all tokens fit, the result will be zero. + + To be added. + + + + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + + + + + + + + + + + The text to encode. + Indicate emitting the beginning of sentence token during the encoding. + Indicate emitting the end of sentence token during the encoding. + The maximum token count to limit the encoding capacity. + If the tokenizer's normalization is enabled or is false, this will be set to in its normalized form; otherwise, this value will be set to null. + To be added. + The token count can be generated which should be smaller than the maximum token count. + Indicate whether to consider pre-tokenization before tokenization. + Indicate whether to consider normalization before tokenization. + + Find the index of the maximum encoding capacity from the start within the text without surpassing the token limit. + + + The index of the maximum encoding capacity within the processed text without surpassing the token limit. + It represents the index immediately following the last character to be included. In cases where no tokens fit, the result will be 0; conversely, + if all tokens fit, the result will be length of the text or the if the normalization is enabled. + + To be added. + + + + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + + + + + + + + + + + The text to encode. + Indicate emitting the beginning of sentence token during the encoding. + Indicate emitting the end of sentence token during the encoding. + The maximum token count to limit the encoding capacity. + If the tokenizer's normalization is enabled or is false, this will be set to in its normalized form; otherwise, this value will be set to null. + To be added. + The token count can be generated which should be smaller than the maximum token count. + Indicate whether to consider pre-tokenization before tokenization. + Indicate whether to consider normalization before tokenization. + + Find the index of the maximum encoding capacity from the start within the text without surpassing the token limit. + + + The index of the maximum encoding capacity within the processed text without surpassing the token limit. + It represents the index immediately following the last character to be included. In cases where no tokens fit, the result will be 0; conversely, + if all tokens fit, the result will be length of the text or the if the normalization is enabled. + + To be added. + + + + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + + + + + + + + + + The text to encode. + Indicate emitting the beginning of sentence token during the encoding. + Indicate emitting the end of sentence token during the encoding. + The maximum token count to limit the encoding capacity. + Indicate whether to consider normalization before tokenization. + If the tokenizer's normalization is enabled or is false, this will be set to in its normalized form; otherwise, this value will be set to null. + To be added. + The token count can be generated which should be smaller than the maximum token count. + + Find the index of the maximum encoding capacity from the end within the text without surpassing the token limit. + + + The start index of the maximum encoding capacity within the processed text without surpassing the token limit. + It represents the index at the first character to be included. In cases where no tokens fit, the result will be length of the ; conversely, if all tokens fit, the result will be 0. + + To be added. + + + + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + + + + + + + + + + The text to encode. + Indicate emitting the beginning of sentence token during the encoding. + Indicate emitting the end of sentence token during the encoding. + The maximum token count to limit the encoding capacity. + Indicate whether to consider normalization before tokenization. + If the tokenizer's normalization is enabled or is false, this will be set to in its normalized form; otherwise, this value will be set to null. + To be added. + The token count can be generated which should be smaller than the maximum token count. + + Find the index of the maximum encoding capacity from the end within the text without surpassing the token limit. + + + The start index of the maximum encoding capacity within the processed text without surpassing the token limit. + It represents the index at the first character to be included. In cases where no tokens fit, the result will be length of the ; conversely, if all tokens fit, the result will be 0. + + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.Normalizer + + + + Gets the Normalizer in use by the Tokenizer. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.PreTokenizer + + + + Gets the PreTokenizer used by the Tokenizer. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyDictionary<System.String,System.Int32> + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Boolean + + + + Indicate emitting the character U+2581 at the end of the last sentence token instead beginning of sentence token during the normalization and encoding. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + The id of the unknown token. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + The unknown token. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyDictionary<System.String,System.Int32> + + + + The vocabulary of the model. + + To be added. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/Split.xml b/dotnet/xml/Microsoft.ML.Tokenizers/Split.xml index 620edb386..2b79f8150 100644 --- a/dotnet/xml/Microsoft.ML.Tokenizers/Split.xml +++ b/dotnet/xml/Microsoft.ML.Tokenizers/Split.xml @@ -1,20 +1,15 @@ - - + + - - - - - - + + Microsoft.ML.Tokenizers 1.0.0.0 System.Object - System.ValueType @@ -42,8 +37,8 @@ 1.0.0.0 - - + + [System.Runtime.CompilerServices.TupleElementNames(new System.String[] { "Index", "End" })] @@ -61,47 +56,12 @@ To be added. - - - - - - - Constructor - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - - - - - [System.Runtime.CompilerServices.TupleElementNames(new System.String[] { "Index", "Length" })] - [<System.Runtime.CompilerServices.TupleElementNames(new System.String[] { "Index", "Length" })>] - - - - - - - The token string - The offset mapping to the original string - Indicates whether the token is a special token - - create a Split object using the token and the offset - - To be added. - - - - + + - - Method M:System.IEquatable`1.Equals(`0) @@ -125,49 +85,22 @@ To be added. - - - - - - - Property - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Boolean - - - - Gets if the current Split is a special token. - - To be added. - To be added. - - - + - Property Microsoft.ML.Tokenizers 1.0.0.0 - + [System.Runtime.CompilerServices.TupleElementNames(new System.String[] { "Index", "End" })] [<System.Runtime.CompilerServices.TupleElementNames(new System.String[] { "Index", "End" })>] - - [System.Runtime.CompilerServices.TupleElementNames(new System.String[] { "Index", "Length" })] - [<System.Runtime.CompilerServices.TupleElementNames(new System.String[] { "Index", "Length" })>] - System.ValueTuple<System.Int32,System.Int32> @@ -180,28 +113,6 @@ To be added. - - - - - - - Property - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.ReadOnlySpan<System.Char> - - - - Gets the underlying split token as a span. - - To be added. - To be added. - - diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/TikTokenPreTokenizer.xml b/dotnet/xml/Microsoft.ML.Tokenizers/TikTokenPreTokenizer.xml deleted file mode 100644 index e7a0ac55b..000000000 --- a/dotnet/xml/Microsoft.ML.Tokenizers/TikTokenPreTokenizer.xml +++ /dev/null @@ -1,76 +0,0 @@ - - - - - - - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - Microsoft.ML.Tokenizers.PreTokenizer - - - - - The pre-tokenizer for Tiktoken tokenizer. - - To be added. - - - - - - - - - Constructor - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - - - - - The regex to use for splitting the text into smaller tokens in the pre-tokenization process. - Encode the special token to Id. - - Initializes a new instance of the class. - - To be added. - When regex is null - - - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Collections.Generic.IEnumerable<Microsoft.ML.Tokenizers.Split> - - - - - - - The string to split into tokens. - Indicates whether to consider the special tokens. - - Splits the given string in multiple substrings at the word boundary, keeping track of the offsets of said substrings from the original string. - - The list of the splits containing the tokens and the token's offsets to the original string. - To be added. - - - - diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/Tiktoken.xml b/dotnet/xml/Microsoft.ML.Tokenizers/Tiktoken.xml deleted file mode 100644 index f49970325..000000000 --- a/dotnet/xml/Microsoft.ML.Tokenizers/Tiktoken.xml +++ /dev/null @@ -1,508 +0,0 @@ - - - - - - - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - Microsoft.ML.Tokenizers.Model - - - - - Represent the rapid Byte Pair Encoding model commonly referred to as Tiktoken. - - To be added. - - - - - - - - - Constructor - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - - - - - - The stream to the BPE vocab file. - The dictionary mapping special tokens to Ids. - The size of the cache to use. - - Create a new Tiktoken tokenizer's model object. - - To be added. - Thrown when is null or empty. - Thrown when failed to load the BPE vocab file. - - - - - - - - - Constructor - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - - - - - - The path to the BPE vocab file. - The dictionary mapping special tokens to Ids. - The size of the cache to use. - - Create a new Tiktoken tokenizer's model object. - - To be added. - Thrown when is null or empty. - Thrown when failed to load the BPE vocab file. - - - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Int32 - - - - - - - The text to encode. If the value of the parameter is true, the entire text will be treated as a special token. - Specifies whether the entire is considered a special token. - - Get the number of tokens that the input text will be encoded to. - - The number of tokens that the input text will be encoded to. - To be added. - - - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Threading.Tasks.Task<Microsoft.ML.Tokenizers.Tiktoken> - - - - - - - - - The stream to the BPE vocab file. - The dictionary mapping special tokens to Ids. - The size of the cache to use. - - used to request cancellation of the operation. - - Create a new Tiktoken tokenizer's model object asynchronously. - - Tiktoken tokenizer's object. - To be added. - - - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Threading.Tasks.Task<Microsoft.ML.Tokenizers.Tiktoken> - - - - - - - - - The BPE vocab file. - The dictionary mapping special tokens to Ids. - The size of the cache to use. - - used to request cancellation of the operation. - - Create a new Tiktoken tokenizer's object asynchronously. - - Tiktoken tokenizer's model object. - To be added. - - - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - Microsoft.ML.Tokenizers.Tokenizer - - - - - - - - - - Model name - The stream to the BPE vocab file. - Extra special tokens other than the built-in ones for the model - The size of the cache to use. - To normalize the text before tokenization - - Create a Tiktoken tokenizer based on model name and vocab file. - - The tokenizer - To be added. - - - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Threading.Tasks.Task<Microsoft.ML.Tokenizers.Tokenizer> - - - - - - - - - Model name - Extra special tokens other than the built-in ones for the model - To normalize the text before tokenization - - used to request cancellation of the operation. - - Create tokenizer based on model name - - The tokenizer - To be added. - - - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Threading.Tasks.Task<Microsoft.ML.Tokenizers.Tokenizer> - - - - - - - - - - - Model name - The stream to the BPE vocab file. - Extra special tokens other than the built-in ones for the model - The size of the cache to use. - To normalize the text before tokenization - - used to request cancellation of the operation. - - Create a Tiktoken tokenizer based on model name and vocab file. - - The tokenizer - To be added. - - - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.String - - - - - - - - The list of ids that we want to decode. - Whether the special tokens should be kept in the decoded string. - The optional Decoder to merge the given list of tokens in a string. - - Decode the given ids, back to a String. - - The decoded string. - To be added. - - - - - - - - - Property - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Collections.Generic.IReadOnlyDictionary<System.Int32,System.ReadOnlyMemory<System.Byte>> - - - - Gets the dictionary mapping Ids to token utf-8 bytes. - - To be added. - To be added. - - - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Collections.Generic.IReadOnlyList<Microsoft.ML.Tokenizers.Token> - - - - - - - The text to encode. If the value of the parameter is true, the entire text will be treated as a special token. - Specifies whether the entire is considered a special token. - - Encode a split text string to a list of tokens. - - The list of tokens generated from the text tokenization. - To be added. - - - - - - - - - Property - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Collections.Generic.IReadOnlyDictionary<System.ReadOnlyMemory<System.Byte>,System.Int32> - - - - Gets the dictionary mapping token bytes to Ids. - - To be added. - To be added. - - - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Void - - - - - - - - The text to encode. If the value of the parameter is true, the entire text will be treated as a special token. - Specifies whether the entire is considered a special token. - The list of accumulated Ids. - - Encode text to a list of Ids. - - To be added. - - - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.String - - - - - - - The Id to map to the token. - Indicate if want to consider the special tokens during the decoding. - - Map the encoded Id to the token. - - The mapped token of the Id. - To be added. - - - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Nullable<System.Int32> - - - - - - - The token to map to the Id. - Indicate if want to consider the special tokens during the encoding. - - Map the token to encoded Id. - - The mapped Id of the token. - To be added. - - - - - - - - - Property - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Collections.Generic.IReadOnlyDictionary<System.String,System.Int32> - - - - Gets the dictionary mapping special tokens to Ids. - - To be added. - To be added. - - - - - - - - - Property - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Collections.Generic.IReadOnlyDictionary<System.String,System.Int32> - - - - Gets the dictionary mapping tokens to Ids. - - To be added. - This may not contain the full set of vocabulary tokens, use Encoder to get the full set of vocabulary. - - - - diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/TiktokenTokenizer.xml b/dotnet/xml/Microsoft.ML.Tokenizers/TiktokenTokenizer.xml new file mode 100644 index 000000000..d86382c4a --- /dev/null +++ b/dotnet/xml/Microsoft.ML.Tokenizers/TiktokenTokenizer.xml @@ -0,0 +1,572 @@ + + + + + + + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.Tokenizer + + + + + Represent the rapid Byte Pair Encoding tokenizer. + + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + + + + + The text to encode. + The span of the text to encode which will be used if the is . + The settings used to encode the text. + + Get the number of tokens that the input text will be encoded to. + + The number of token Ids that the input text will be encoded to. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.TiktokenTokenizer + + + + + + + + + + The stream to the BPE vocab file. + The pre-tokenizer to use. + The normalizer to use. + The dictionary mapping special tokens to Ids. + The size of the cache to use. + + Create a new Tiktoken tokenizer's object. + + The tokenizer's object. + + When creating the tokenizer, ensure that the vocabulary stream is sourced from a trusted provider. + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.TiktokenTokenizer + + + + + + + + + + The BPE vocab file. + The pre-tokenizer to use. + The normalizer to use. + The dictionary mapping special tokens to Ids. + The size of the cache to use. + + Create a new Tiktoken tokenizer's object. + + The tokenizer's object. + + When creating the tokenizer, ensure that the vocabulary file is sourced from a trusted provider. + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Threading.Tasks.Task<Microsoft.ML.Tokenizers.TiktokenTokenizer> + + + + + + + + + + + The stream to the BPE vocab file. + The pre-tokenizer to use. + The normalizer to use. + The dictionary mapping special tokens to Ids. + The size of the cache to use. + + used to request cancellation of the operation. + + Create a new Tiktoken tokenizer's object asynchronously. + + The tokenizer's object. + + When creating the tokenizer, ensure that the vocabulary stream is sourced from a trusted provider. + + + + + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Threading.Tasks.Task<Microsoft.ML.Tokenizers.TiktokenTokenizer> + + + + + + + + + + + + The BPE vocab file. + The pre-tokenizer to use. + The normalizer to use. + The dictionary mapping special tokens to Ids. + To be added. + The size of the cache to use. + + used to request cancellation of the operation. + + Create a new Tiktoken tokenizer's object asynchronously. + + The tokenizer's object. + + When creating the tokenizer, ensure that the vocabulary file is sourced from a trusted provider. + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.TiktokenTokenizer + + + + + + + + Encoding name + Extra special tokens other than the built-in ones for the encoding + To normalize the text before tokenization + + Create tokenizer based on encoding name + + The tokenizer + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.TiktokenTokenizer + + + + + + + + Model name + Extra special tokens other than the built-in ones for the model + To normalize the text before tokenization + + Create tokenizer based on model name + + The tokenizer + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.TiktokenTokenizer + + + + + + + + + + Model name + The stream to the BPE vocab file. + Extra special tokens other than the built-in ones for the model + The size of the cache to use. + To normalize the text before tokenization + + Create a Tiktoken tokenizer based on model name and vocab file. + + The tokenizer + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Threading.Tasks.Task<Microsoft.ML.Tokenizers.TiktokenTokenizer> + + + + + + + + + + + Model name + The stream to the BPE vocab file. + Extra special tokens other than the built-in ones for the model + The size of the cache to use. + To normalize the text before tokenization + + used to request cancellation of the operation. + + Create a Tiktoken tokenizer based on model name and vocab file. + + The tokenizer + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + + + The list of ids that we want to decode. + + Decode the given ids, back to a String. + + The decoded string. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Buffers.OperationStatus + + + + + + + + + The list of ids that we want to decode. + The span to store the decoded text. + The number of ids consumed during the decoding. + The number of characters written to the destination span. + + Decode the given ids back to text and store the result in the span. + + The operation status indicates whether all IDs were successfully decoded or if the is too small to contain the entire decoded result. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.EncodeResults<System.Int32> + + + + + + + + The text to encode. + The span of the text to encode which will be used if the is . + The settings used to encode the text. + + Encodes input text to token Ids. + + The encoded results containing the list of encoded Ids. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.EncodeResults<Microsoft.ML.Tokenizers.EncodedToken> + + + + + + + + The text to encode. + The span of the text to encode which will be used if the is . + The settings used to encode the text. + + Encodes input text to a list of s. + + To be added. + To be added. + + + + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + + + + + + + + + The text to encode. + The span of the text to encode which will be used if the is . + The settings used to encode the text. + Indicate whether to find the index from the end of the text. + If the tokenizer's normalization is enabled or has is , this will be set to in its normalized form; otherwise, this value will be set to . + To be added. + The token count can be generated which should be smaller than the maximum token count. + + Find the index of the maximum encoding capacity without surpassing the token limit. + + + The index of the maximum encoding capacity within the processed text without surpassing the token limit. + If is , it represents the index immediately following the last character to be included. In cases where no tokens fit, the result will be 0; conversely, + if all tokens fit, the result will be length of the input text or the if the normalization is enabled. + If is , it represents the index of the first character to be included. In cases where no tokens fit, the result will be the text length; conversely, + if all tokens fit, the result will be zero. + + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.Normalizer + + + + Gets the Normalizer in use by the Tokenizer. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.PreTokenizer + + + + Gets the PreTokenizer used by the Tokenizer. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyDictionary<System.String,System.Int32> + + + + Gets the dictionary mapping special tokens to Ids. + + To be added. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/Token.xml b/dotnet/xml/Microsoft.ML.Tokenizers/Token.xml index 29fa7c470..ae1e7ae44 100644 --- a/dotnet/xml/Microsoft.ML.Tokenizers/Token.xml +++ b/dotnet/xml/Microsoft.ML.Tokenizers/Token.xml @@ -47,14 +47,11 @@ - + - - - - - + + Property Microsoft.ML.Tokenizers @@ -72,28 +69,21 @@ - + - - - - - + + Property Microsoft.ML.Tokenizers 1.0.0.0 - + [System.Runtime.CompilerServices.TupleElementNames(new System.String[] { "Index", "End" })] [<System.Runtime.CompilerServices.TupleElementNames(new System.String[] { "Index", "End" })>] - - [System.Runtime.CompilerServices.TupleElementNames(new System.String[] { "Index", "Length" })] - [<System.Runtime.CompilerServices.TupleElementNames(new System.String[] { "Index", "Length" })>] - System.ValueTuple<System.Int32,System.Int32> diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/Tokenizer.xml b/dotnet/xml/Microsoft.ML.Tokenizers/Tokenizer.xml index 957a3e715..d547776ae 100644 --- a/dotnet/xml/Microsoft.ML.Tokenizers/Tokenizer.xml +++ b/dotnet/xml/Microsoft.ML.Tokenizers/Tokenizer.xml @@ -1,9 +1,12 @@ - - + + - + + + + Microsoft.ML.Tokenizers 1.0.0.0 @@ -14,11 +17,29 @@ - A Tokenizer works as a pipeline. It processes some raw text as input and outputs a EncodingResult object. + Provides an abstraction for tokenizers, enabling the encoding of text into tokens and the decoding of token IDs back into text. To be added. + + + + + + Constructor + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + + + Initializes a new instance of the class. + + To be added. + + @@ -45,40 +66,42 @@ To be added. - - - - - - - Constructor + + + + + + + Method Microsoft.ML.Tokenizers 1.0.0.0 + + System.Int32 + - - - - + + + - The Model in use by the Tokenizer. - The optional PreTokenizer in use by the Tokenizer. WhiteSpace PreTokenizer will be used if this parameter is null. - The optional Normalizer in use by the Tokenizer. - The optional Decoder in use by the Tokenizer during the decoding operation to merge the given list of tokens in a string. + The text to encode. + Indicate whether to consider pre-tokenization before tokenization. + Indicate whether to consider normalization before tokenization. - Create a new Tokenizer object. + Get the number of tokens that the input text will be encoded to. + The number of token Ids that the input text will be encoded to. To be added. - - - - - + + + + + Method Microsoft.ML.Tokenizers @@ -88,31 +111,93 @@ System.Int32 - - + + + The text to encode. - Indicate if want to consider the special tokens during the encoding. + Indicate whether to consider pre-tokenization before tokenization. + Indicate whether to consider normalization before tokenization. Get the number of tokens that the input text will be encoded to. - The number of tokens Ids that the input text will be encoded to. + The number of token Ids that the input text will be encoded to. To be added. - The input text is null. - Unable to encode the text. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + + + + + The text to encode. + The span of the text to encode which will be used if the is . + The settings used to encode the text. + + Get the number of tokens that the input text will be encoded to. + + The number of token Ids that the input text will be encoded to. + + Types derived from may override this implementation to provide a more efficient implementation. + By default, it uses . + - - + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + + + The list of ids that we want to decode. + + Decode the given ids, back to a String. + + The decoded string. + + Types derived from may override this implementation to provide a more efficient implementation. + By default, it uses . + + + is null. + + contains invalid data. + + + + + - - - - - - + + Method Microsoft.ML.Tokenizers @@ -122,7 +207,7 @@ System.String - + @@ -138,15 +223,11 @@ - - + + - - - - - - + + Method Microsoft.ML.Tokenizers @@ -156,7 +237,7 @@ System.String - + @@ -171,15 +252,44 @@ To be added. + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Buffers.OperationStatus + + + + + + + + + The list of ids that we want to decode. + The span to store the decoded text. + The number of ids consumed during the decoding. + The number of characters written to the destination span. + + Decode the given ids back to text and store the result in the span. + + The operation status indicates whether all IDs were successfully decoded or if the is too small to contain the entire decoded result. + To be added. + + - + - - - - - + + Property Microsoft.ML.Tokenizers @@ -222,40 +332,42 @@ To be added. - - - - - - + + + + + + Method Microsoft.ML.Tokenizers 1.0.0.0 - Microsoft.ML.Tokenizers.EncodingResult + System.Collections.Generic.IReadOnlyList<System.Int32> - - + + + The text to encode. - Indicate if want to consider the special tokens during the encoding. + Indicate whether to consider pre-tokenization before tokenization. + Indicate whether to consider normalization before tokenization. - Encodes input text to object has the tokens list, tokens Ids, tokens offset mapping. + Encodes input text to token Ids. - The tokenization result includes the tokens list, tokens Ids, tokens offset mapping. + The list of encoded Ids. To be added. - - - - - + + + + + Method Microsoft.ML.Tokenizers @@ -265,25 +377,242 @@ System.Collections.Generic.IReadOnlyList<System.Int32> - - + + + The text to encode. - Indicate if want to consider the special tokens during the encoding. + Indicate whether to consider pre-tokenization before tokenization. + Indicate whether to consider normalization before tokenization. - Encodes input text to tokens Ids. + Encodes input text to token Ids. - The tokenization result includes the tokens list, tokens Ids, tokens offset mapping. + The list of encoded Ids. To be added. - - - - - - + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.EncodeResults<System.Int32> + + + + + + + + The text to encode. + The span of the text to encode which will be used if the is . + The settings used to encode the text. + + Encodes input text to token Ids. + + The encoded results containing the list of encoded Ids. + + Types derived from may override this implementation to provide a more efficient implementation. + By default, it uses . + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyList<System.Int32> + + + + + + + + + + + The text to encode. + The maximum number of tokens to encode. + If the tokenizer's normalization is enabled or is , this will be set to in its normalized form; otherwise, this value will be set to . + The characters count of the text that encompasses the maximum encoded tokens. + Indicate whether to consider pre-tokenization before tokenization. + Indicate whether to consider normalization before tokenization. + + Encodes input text to token Ids up to maximum number of tokens. + + The list of encoded Ids. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyList<System.Int32> + + + + + + + + + + + To be added. + The maximum number of tokens to encode. + If the tokenizer's normalization is enabled or is , this will be set to in its normalized form; otherwise, this value will be set to . + The characters count of the text that encompasses the maximum encoded tokens. + Indicate whether to consider pre-tokenization before tokenization. + Indicate whether to consider normalization before tokenization. + + Encodes input text to token Ids up to maximum number of tokens. + The text to encode. + The list of encoded Ids. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.EncodeResults<Microsoft.ML.Tokenizers.EncodedToken> + + + + + + + + The text to encode. + The span of the text to encode which will be used if the is . + The settings used to encode the text. + + Encodes input text to a list of s. + + To be added. + To be added. + + + + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyList<Microsoft.ML.Tokenizers.EncodedToken> + + + + + + + + + + The text to encode. + If the tokenizer's normalization is enabled or is , this will be set to in its normalized form; otherwise, this value will be set to . + To be added. + Indicate whether to consider pre-tokenization before tokenization. + Indicate whether to consider normalization before tokenization. + + Encodes input text to a list of s. + + The list of encoded s. + To be added. + + + + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyList<Microsoft.ML.Tokenizers.EncodedToken> + + + + + + + + + + The text to encode. + If the tokenizer's normalization is enabled or is , this will be set to in its normalized form; otherwise, this value will be set to . + To be added. + Indicate whether to consider pre-tokenization before tokenization. + Indicate whether to consider normalization before tokenization. + + Encodes input text to a list of s. + + The list of encoded s. + To be added. + + + + + + + + + + + + Method Microsoft.ML.Tokenizers @@ -293,60 +622,89 @@ System.Int32 - - - - - + + + + + + + The text to encode. - The maximum token count to limit the encoding capacity. - If the tokenizer's normalization is enabled, the input text will be represented in its normalization form; otherwise, it will remain unchanged as the input text. + The maximum number of tokens to encode. + If the tokenizer's normalization is enabled or is , this will be set to in its normalized form; otherwise, this value will be set to . + To be added. The token count can be generated which should be smaller than the maximum token count. - Indicate if want to consider the special tokens during the encoding. + Indicate whether to consider pre-tokenization before tokenization. + Indicate whether to consider normalization before tokenization. - Find the index of the maximum encoding capacity from the start within the text without surpassing the token limit. + Find the index of the maximum encoding capacity without surpassing the token limit. The index of the maximum encoding capacity within the processed text without surpassing the token limit. - It represents the index immediately following the last character to be included. In cases where no tokens fit, the result will be 0; conversely, if all tokens fit, the result will be length of the . + It represents the index immediately following the last character to be included. In cases where no tokens fit, the result will be 0; conversely, + if all tokens fit, the result will be length of the input text or the if the normalization is enabled. To be added. - The input text is null. - The maximum token count must be greater than 0. - - - - - - + + + + + + + + + + Method Microsoft.ML.Tokenizers 1.0.0.0 - System.Boolean + System.Int32 - + + + + + + + - To be added. - To be added. - To be added. + The text to encode. + The maximum number of tokens to encode. + If the tokenizer's normalization is enabled or is , this will be set to in its normalized form; otherwise, this value will be set to . + To be added. + The token count can be generated which should be smaller than the maximum token count. + Indicate whether to consider pre-tokenization before tokenization. + Indicate whether to consider normalization before tokenization. + + Find the index of the maximum encoding capacity without surpassing the token limit. + + + The index of the maximum encoding capacity within the processed text without surpassing the token limit. + It represents the index immediately following the last character to be included. In cases where no tokens fit, the result will be 0; conversely, + if all tokens fit, the result will be length of the input text or the if the normalization is enabled. + To be added. - - - - - - + + + + + + + + + + Method Microsoft.ML.Tokenizers @@ -356,30 +714,128 @@ System.Int32 - - - - - + + + + + + + The text to encode. - The maximum token count to limit the encoding capacity. - If the tokenizer's normalization is enabled, the input text will be represented in its normalization form; otherwise, it will remain unchanged as the input text. + The span of the text to encode which will be used if the is . + The settings used to encode the text. + Indicate whether to find the index from the end of the text. + If the tokenizer's normalization is enabled or has is , this will be set to in its normalized form; otherwise, this value will be set to . + To be added. The token count can be generated which should be smaller than the maximum token count. - Indicate if want to consider the special tokens during the encoding. - Find the index of the maximum encoding capacity from the end within the text without surpassing the token limit. + Find the index of the maximum encoding capacity without surpassing the token limit. - The start index of the maximum encoding capacity within the processed text without surpassing the token limit. - It represents the index at the first character to be included. In cases where no tokens fit, the result will be length of the ; conversely, if all tokens fit, the result will be 0. + The index of the maximum encoding capacity within the processed text without surpassing the token limit. + If is , it represents the index immediately following the last character to be included. In cases where no tokens fit, the result will be 0; conversely, + if all tokens fit, the result will be length of the input text or the if the normalization is enabled. + If is , it represents the index of the first character to be included. In cases where no tokens fit, the result will be the text length; conversely, + if all tokens fit, the result will be zero. - If the whole text can be encoded within the token limit, the returned index will be 0. + Types derived from may override this implementation to provide a more efficient implementation. + By default, it uses . - The input text is null. - The maximum token count must be greater than 0. + + + + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + + + + + + + + + The text to encode. + The maximum number of tokens to encode. + If the tokenizer's normalization is enabled or is , this will be set to in its normalized form; otherwise, this value will be set to . + To be added. + The token count can be generated which should be smaller than the maximum token count. + Indicate whether to consider pre-tokenization before tokenization. + Indicate whether to consider normalization before tokenization. + + Find the index of the maximum encoding capacity without surpassing the token limit. + + + The index of the maximum encoding capacity within the processed text without surpassing the token limit. + It represents the index of the first character to be included. In cases where no tokens fit, the result will be the text length; conversely, + if all tokens fit, the result will be zero. + + To be added. + + + + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + + + + + + + + + The text to encode. + The maximum number of tokens to encode. + If the tokenizer's normalization is enabled or is , this will be set to in its normalized form; otherwise, this value will be set to . + To be added. + The token count can be generated which should be smaller than the maximum token count. + Indicate whether to consider pre-tokenization before tokenization. + Indicate whether to consider normalization before tokenization. + + Find the index of the maximum encoding capacity without surpassing the token limit. + + + The index of the maximum encoding capacity within the processed text without surpassing the token limit. + It represents the index of the first character to be included. In cases where no tokens fit, the result will be the text length; conversely, + if all tokens fit, the result will be zero. + + To be added. @@ -405,14 +861,14 @@ - + - - - - - + + + + + Property Microsoft.ML.Tokenizers @@ -423,21 +879,21 @@ - Gets or sets the Normalizer in use by the Tokenizer. + Gets the Normalizer in use by the Tokenizer. To be added. To be added. - + - - - - - + + + + + Property Microsoft.ML.Tokenizers @@ -448,7 +904,7 @@ - Gets or sets the PreTokenizer used by the Tokenizer. + Gets the PreTokenizer used by the Tokenizer. To be added. To be added. diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/UpperCaseNormalizer.xml b/dotnet/xml/Microsoft.ML.Tokenizers/UpperCaseNormalizer.xml index 358da3470..ea27392c0 100644 --- a/dotnet/xml/Microsoft.ML.Tokenizers/UpperCaseNormalizer.xml +++ b/dotnet/xml/Microsoft.ML.Tokenizers/UpperCaseNormalizer.xml @@ -37,24 +37,72 @@ To be added. + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.UpperCaseNormalizer + + + + Gets a singleton instance of the . + + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + + + The original string to normalize to uppercase form. + + Uppercase the original string. + + The upper-cased normalized string. + To be added. + + - - + + - - - - - - + + + + + + Method Microsoft.ML.Tokenizers 1.0.0.0 - Microsoft.ML.Tokenizers.NormalizedString - System.String + System.String + Microsoft.ML.Tokenizers.NormalizedString diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/WhiteSpace.xml b/dotnet/xml/Microsoft.ML.Tokenizers/WhiteSpace.xml index 151689a9e..d6ae35b87 100644 --- a/dotnet/xml/Microsoft.ML.Tokenizers/WhiteSpace.xml +++ b/dotnet/xml/Microsoft.ML.Tokenizers/WhiteSpace.xml @@ -57,28 +57,6 @@ To be added. - - - - - - - Property - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - Microsoft.ML.Tokenizers.WhiteSpace - - - - Gets a singleton instance of the WhiteSpace pre-tokenizer.. - - To be added. - To be added. - - @@ -94,7 +72,7 @@ System.Collections.Generic.IReadOnlyList<Microsoft.ML.Tokenizers.Split> - + The string to split into tokens. @@ -105,33 +83,5 @@ To be added. - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Collections.Generic.IEnumerable<Microsoft.ML.Tokenizers.Split> - - - - - - - The string to split into tokens. - Indicates whether to consider the special tokens. - - Splits the given string in multiple substrings at the word boundary, keeping track of the offsets of said substrings from the original string. - - The list of the splits containing the tokens and the token's offsets to the original string. - To be added. - - diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/WordPieceOptions.xml b/dotnet/xml/Microsoft.ML.Tokenizers/WordPieceOptions.xml new file mode 100644 index 000000000..72f3dddab --- /dev/null +++ b/dotnet/xml/Microsoft.ML.Tokenizers/WordPieceOptions.xml @@ -0,0 +1,171 @@ + + + + + + + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Object + + + + + Options for the WordPiece tokenizer. + + To be added. + + + + + + + + Constructor + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + Gets or set the prefix to use for sub-words that are not the first part of a word. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + Gets or set the maximum number of characters to consider for a single word. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.Normalizer + + + + Gets or sets the to override the default normalizer, if desired. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.PreTokenizer + + + + Gets or sets the to override the default normalizer, if desired. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyDictionary<System.String,System.Int32> + + + + Gets or set the special tokens to use. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + Gets or set the unknown token to use. + + To be added. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/WordPieceTokenizer.xml b/dotnet/xml/Microsoft.ML.Tokenizers/WordPieceTokenizer.xml new file mode 100644 index 000000000..ecd08ab83 --- /dev/null +++ b/dotnet/xml/Microsoft.ML.Tokenizers/WordPieceTokenizer.xml @@ -0,0 +1,716 @@ + + + + + + + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.Tokenizer + + + + + Represent the WordPiece tokenizer. + + + The WordPiece tokenizer is a sub-word tokenizer that is used in BERT and other transformer models. + The implementation is based on the Hugging Face WordPiece tokenizer https://huggingface.co/docs/tokenizers/api/models#tokenizers.models.WordPiece. + + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + Gets the prefix to use for sub-words that are not the first part of a word. + + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + + + + + The text to encode. + The span of the text to encode which will be used if the is . + The settings used to encode the text. + + Get the number of tokens that the input text will be encoded to. + + The number of token Ids that the input text will be encoded to. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.WordPieceTokenizer + + + + + + + The path to the WordPiece vocab file. + The options to use for the WordPiece tokenizer. + + Create a new instance of the class. + + A new instance of the class. + + If the is null, the whitespace pre-tokenizer will be used. + When creating the tokenizer, ensure that the vocabulary stream is sourced from a trusted provider. + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.WordPieceTokenizer + + + + + + + The path to the WordPiece vocab file. + The options to use for the WordPiece tokenizer. + + Create a new instance of the class. + + A new instance of the class. + + If the is null, the whitespace pre-tokenizer will be used. + When creating the tokenizer, ensure that the vocabulary file is sourced from a trusted provider. + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.WordPieceTokenizer + + + + + + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.WordPieceTokenizer + + + + + + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Threading.Tasks.Task<Microsoft.ML.Tokenizers.WordPieceTokenizer> + + + + + + + + The path to the WordPiece vocab file. + The options to use for the WordPiece tokenizer. + The cancellation token. + + Create a new instance of the class asynchronously. + + A new instance of the class. + + If the is null, the whitespace pre-tokenizer will be used. + When creating the tokenizer, ensure that the vocabulary stream is sourced from a trusted provider. + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Threading.Tasks.Task<Microsoft.ML.Tokenizers.WordPieceTokenizer> + + + + + + + + The path to the WordPiece vocab file. + The options to use for the WordPiece tokenizer. + The cancellation token. + + Create a new instance of the class asynchronously. + + A new instance of the class. + + If the is null, the whitespace pre-tokenizer will be used. + When creating the tokenizer, ensure that the vocabulary file is sourced from a trusted provider. + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Threading.Tasks.Task<Microsoft.ML.Tokenizers.WordPieceTokenizer> + + + + + + + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Threading.Tasks.Task<Microsoft.ML.Tokenizers.WordPieceTokenizer> + + + + + + + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + + + The list of ids that we want to decode. + + Decode the given ids, back to a String. + + The decoded string. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + + + + The list of ids that we want to decode. + Indicate whether to skip the special tokens during the decoding. + + Decode the given ids, back to a String. + + The decoded string. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Buffers.OperationStatus + + + + + + + + + The list of ids that we want to decode. + The span to store the decoded text. + The number of ids consumed during the decoding. + The number of characters written to the destination span. + + Decode the given ids back to text and store the result in the span. + + The operation status indicates whether all IDs were successfully decoded or if the is too small to contain the entire decoded result. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Buffers.OperationStatus + + + + + + + + + + The list of ids that we want to decode. + The span to store the decoded text. + Indicate whether to skip the special tokens during the decoding. + The number of ids consumed during the decoding. + The number of characters written to the destination span. + + Decode the given ids back to text and store the result in the span. + + The operation status indicates whether all IDs were successfully decoded or if the is too small to contain the entire decoded result. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.EncodeResults<System.Int32> + + + + + + + + The text to encode. + The span of the text to encode which will be used if the is . + The settings used to encode the text. + + Encodes input text to token Ids. + + The encoded results containing the list of encoded Ids. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.EncodeResults<Microsoft.ML.Tokenizers.EncodedToken> + + + + + + + + The text to encode. + The span of the text to encode which will be used if the is . + The settings used to encode the text. + + Encodes input text to a list of s. + + To be added. + To be added. + + + + + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + + + + + + + + + The text to encode. + The span of the text to encode which will be used if the is . + The settings used to encode the text. + Indicate whether to find the index from the end of the text. + If the tokenizer's normalization is enabled or has is , this will be set to in its normalized form; otherwise, this value will be set to . + To be added. + The token count can be generated which should be smaller than the maximum token count. + + Find the index of the maximum encoding capacity without surpassing the token limit. + + + The index of the maximum encoding capacity within the processed text without surpassing the token limit. + If is , it represents the index immediately following the last character to be included. In cases where no tokens fit, the result will be 0; conversely, + if all tokens fit, the result will be length of the input text or the if the normalization is enabled. + If is , it represents the index of the first character to be included. In cases where no tokens fit, the result will be the text length; conversely, + if all tokens fit, the result will be zero. + + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + Gets the maximum number of characters to authorize in a single word. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.Normalizer + + + + Gets the Normalizer in use by the Tokenizer. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.PreTokenizer + + + + Gets the PreTokenizer used by the Tokenizer. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Collections.Generic.IReadOnlyDictionary<System.String,System.Int32> + + + + Gets the special tokens and their corresponding ids. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.String + + + + Gets the unknown token. + A token that is not in the vocabulary cannot be converted to an ID and is set to be this token instead. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + Gets the unknown token ID. + A token that is not in the vocabulary cannot be converted to an ID and is set to be this token instead. + + To be added. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/Attention.xml b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/Attention.xml index 7b050150d..eb76d2c49 100644 --- a/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/Attention.xml +++ b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/Attention.xml @@ -54,6 +54,29 @@ To be added. + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Void + + + + + + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/AutoFormerV2.xml b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/AutoFormerV2.xml index 6a91075c1..db5b3d89f 100644 --- a/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/AutoFormerV2.xml +++ b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/AutoFormerV2.xml @@ -54,6 +54,29 @@ To be added. + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Void + + + + + + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/AutoFormerV2Backbone.xml b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/AutoFormerV2Backbone.xml index abc9e80a1..91f143e8d 100644 --- a/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/AutoFormerV2Backbone.xml +++ b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/AutoFormerV2Backbone.xml @@ -67,6 +67,29 @@ To be added. + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Void + + + + + + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/AutoFormerV2Block.xml b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/AutoFormerV2Block.xml index f7b1e9c06..e35df4f13 100644 --- a/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/AutoFormerV2Block.xml +++ b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/AutoFormerV2Block.xml @@ -64,6 +64,29 @@ To be added. + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Void + + + + + + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/BasicLayer.xml b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/BasicLayer.xml index 7b38b1e83..84693ed6a 100644 --- a/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/BasicLayer.xml +++ b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/BasicLayer.xml @@ -65,6 +65,29 @@ To be added. + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Void + + + + + + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/Conv2dBN.xml b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/Conv2dBN.xml index c99bde7f8..f26d06d81 100644 --- a/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/Conv2dBN.xml +++ b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/Conv2dBN.xml @@ -57,6 +57,29 @@ To be added. + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Void + + + + + + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/ConvLayer.xml b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/ConvLayer.xml index 590bcc607..619eab7e3 100644 --- a/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/ConvLayer.xml +++ b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/ConvLayer.xml @@ -53,6 +53,29 @@ To be added. + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Void + + + + + + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/ConvModule.xml b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/ConvModule.xml index c465a9236..7e92196d6 100644 --- a/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/ConvModule.xml +++ b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/ConvModule.xml @@ -59,6 +59,29 @@ To be added. + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Void + + + + + + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/FPN.xml b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/FPN.xml index 4382b1d8d..c8bd6e6ef 100644 --- a/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/FPN.xml +++ b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/FPN.xml @@ -49,6 +49,29 @@ To be added. + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Void + + + + + + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/MBConv.xml b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/MBConv.xml index b684204bd..87e07f224 100644 --- a/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/MBConv.xml +++ b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/MBConv.xml @@ -49,6 +49,29 @@ To be added. + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Void + + + + + + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/MLP.xml b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/MLP.xml index fb7ffcbec..d1f3963ec 100644 --- a/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/MLP.xml +++ b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/MLP.xml @@ -51,6 +51,29 @@ To be added. + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Void + + + + + + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/PatchEmbed.xml b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/PatchEmbed.xml index b1b55b92f..01273344b 100644 --- a/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/PatchEmbed.xml +++ b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/PatchEmbed.xml @@ -47,6 +47,29 @@ To be added. + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Void + + + + + + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/PatchMerging.xml b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/PatchMerging.xml index 02f0bb890..a58765de9 100644 --- a/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/PatchMerging.xml +++ b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/PatchMerging.xml @@ -49,6 +49,29 @@ To be added. + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Void + + + + + + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/RetinaHead.xml b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/RetinaHead.xml index 0b6b8b2a3..3627c2ee4 100644 --- a/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/RetinaHead.xml +++ b/dotnet/xml/Microsoft.ML.TorchSharp.AutoFormerV2/RetinaHead.xml @@ -53,6 +53,29 @@ To be added. + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Void + + + + + + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.NasBert.Models/NasBertEncoder.xml b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert.Models/NasBertEncoder.xml index a073c1280..bad13188b 100644 --- a/dotnet/xml/Microsoft.ML.TorchSharp.NasBert.Models/NasBertEncoder.xml +++ b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert.Models/NasBertEncoder.xml @@ -138,6 +138,29 @@ To be added. + + + + + + + Method + + Microsoft.ML.TorchSharp + 1.0.0.0 + + + System.Void + + + + + + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.NasBert.Modules/IIncrementalState.xml b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert.Modules/IIncrementalState.xml index 1bdf927ba..38235b11c 100644 --- a/dotnet/xml/Microsoft.ML.TorchSharp.NasBert.Modules/IIncrementalState.xml +++ b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert.Modules/IIncrementalState.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/BertTaskType.xml b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/BertTaskType.xml index 6254bbaed..5271c143a 100644 --- a/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/BertTaskType.xml +++ b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/BertTaskType.xml @@ -68,11 +68,11 @@ 1.0.0.0 - + [System.ComponentModel.EditorBrowsable(System.ComponentModel.EditorBrowsableState.Never)] [<System.ComponentModel.EditorBrowsable(System.ComponentModel.EditorBrowsableState.Never)>] - + [System.Obsolete("Please use NamedEntityRecognition instead", false)] [<System.Obsolete("Please use NamedEntityRecognition instead", false)>] diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NasBertTrainer.xml b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NasBertTrainer.xml index 30cd4f849..d78d3d34e 100644 --- a/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NasBertTrainer.xml +++ b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NasBertTrainer.xml @@ -1,9 +1,9 @@ - - + + - - + + @@ -26,10 +26,10 @@ - - + + - + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NasBertTrainer`2.xml b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NasBertTrainer`2.xml index b4735db98..233a363b3 100644 --- a/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NasBertTrainer`2.xml +++ b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NasBertTrainer`2.xml @@ -1,9 +1,9 @@ - - + + - - + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NasBertTransformer`2.xml b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NasBertTransformer`2.xml index 3c4a9a189..157f7b5ab 100644 --- a/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NasBertTransformer`2.xml +++ b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/NasBertTransformer`2.xml @@ -1,9 +1,9 @@ - - + + - - + + diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/SentenceSimilarityTrainer.xml b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/SentenceSimilarityTrainer.xml index 542f2991e..57fc1da1e 100644 --- a/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/SentenceSimilarityTrainer.xml +++ b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/SentenceSimilarityTrainer.xml @@ -18,31 +18,32 @@ - The for training a Deep Neural Network(DNN) to classify text. + Represents the for training a Deep Neural Network (DNN) to determine sentence similarity. type and the sentence columns must be of type. + ### Input and output columns + The input label column data must be type and the sentence columns must be of type . This trainer outputs the following columns: - | Output Column Name | Column Type | Description| + | Output column name | Column type | Description| | -- | -- | -- | - | `Score` | | The degree of similarity between the 2 sentences. | - ### Trainer Characteristics - | | | + | `Score` | | The degree of similarity between the two sentences. | + + ### Trainer characteristics + | Characteristic | Value | | -- | -- | - | Machine learning task | Rregression | + | Machine learning task | Regression | | Is normalization required? | No | | Is caching required? | No | | Required NuGet in addition to Microsoft.ML | Microsoft.ML.TorchSharp and libtorch-cpu or libtorch-cuda-11.3 or any of the OS specific variants. | | Exportable to ONNX | No | - ### Training Algorithm Details - Trains a Deep Neural Network(DNN) by leveraging an existing pre-trained NAS-BERT roBERTa model for the purpose of determining sentence similarity. + ### Training algorithm details + Trains a Deep Neural Network (DNN) by leveraging an existing, pretrained NAS-BERT roBERTa model for the purpose of determining sentence similarity. ]]> diff --git a/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/TextClassificationTrainer.xml b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/TextClassificationTrainer.xml index 0e2ed18b1..f1572191f 100644 --- a/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/TextClassificationTrainer.xml +++ b/dotnet/xml/Microsoft.ML.TorchSharp.NasBert/TextClassificationTrainer.xml @@ -18,23 +18,24 @@ - The for training a Deep Neural Network(DNN) to classify text. + The for training a Deep Neural Network (DNN) to classify text. . + ### Input and output columns + The input label column data must be [key](xref:Microsoft.ML.Data.KeyDataViewType) type and the sentence columns must be of type . This trainer outputs the following columns: - | Output Column Name | Column Type | Description| + | Output column name | Column type | Description| | -- | -- | -- | - | `PredictedLabel` | [key](xref:Microsoft.ML.Data.KeyDataViewType) type | The predicted label's index. If its value is i, the actual label would be the i-th category in the key-valued input label type. | - | `Score` | Vector of | The scores of all classes.Higher value means higher probability to fall into the associated class. If the i-th element has the largest value, the predicted label index would be i.Note that i is zero-based index. | - ### Trainer Characteristics - | | | + | `PredictedLabel` | [key](xref:Microsoft.ML.Data.KeyDataViewType) type | The predicted label's index. If its value is `i`, the actual label would be the `i`-th category in the key-valued input label type. | + | `Score` | Vector of | The scores of all classes. Higher value means higher probability to fall into the associated class. If the `i`-th element has the largest value, the predicted label index would be `i`. Note that `i` is a zero-based index. | + + ### Trainer characteristics + | Characteristic | Value | | -- | -- | | Machine learning task | Multiclass classification | | Is normalization required? | No | @@ -42,8 +43,8 @@ | Required NuGet in addition to Microsoft.ML | Microsoft.ML.TorchSharp and libtorch-cpu or libtorch-cuda-11.3 or any of the OS specific variants. | | Exportable to ONNX | No | - ### Training Algorithm Details - Trains a Deep Neural Network(DNN) by leveraging an existing pre-trained NAS-BERT roBERTa model for the purpose of classifying text. + ### Training algorithm details + Trains a Deep Neural Network (DNN) by leveraging an existing, pretrained NAS-BERT roBERTa model for the purpose of classifying text. ]]> diff --git a/dotnet/xml/Microsoft.ML.TorchSharp/TorchSharpCatalog.xml b/dotnet/xml/Microsoft.ML.TorchSharp/TorchSharpCatalog.xml index 02d203669..e5a5c43b8 100644 --- a/dotnet/xml/Microsoft.ML.TorchSharp/TorchSharpCatalog.xml +++ b/dotnet/xml/Microsoft.ML.TorchSharp/TorchSharpCatalog.xml @@ -36,13 +36,13 @@ Microsoft.ML.TorchSharp.AutoFormerV2.ObjectDetectionMetrics - - - - - - - + + + + + + + The transform's catalog. @@ -74,8 +74,8 @@ Microsoft.ML.TorchSharp.NasBert.NerTrainer - - + + The transform's catalog. @@ -102,14 +102,14 @@ Microsoft.ML.TorchSharp.NasBert.NerTrainer - - - - - - - - + + + + + + + + The transform's catalog. @@ -141,11 +141,11 @@ 1.0.0.0 - + [System.ComponentModel.EditorBrowsable(System.ComponentModel.EditorBrowsableState.Never)] [<System.ComponentModel.EditorBrowsable(System.ComponentModel.EditorBrowsableState.Never)>] - + [System.Obsolete("Please use NamedEntityRecognition method instead", false)] [<System.Obsolete("Please use NamedEntityRecognition method instead", false)>] @@ -154,8 +154,8 @@ Microsoft.ML.TorchSharp.NasBert.NerTrainer - - + + The transform's catalog. @@ -179,11 +179,11 @@ 1.0.0.0 - + [System.ComponentModel.EditorBrowsable(System.ComponentModel.EditorBrowsableState.Never)] [<System.ComponentModel.EditorBrowsable(System.ComponentModel.EditorBrowsableState.Never)>] - + [System.Obsolete("Please use NamedEntityRecognition method instead", false)] [<System.Obsolete("Please use NamedEntityRecognition method instead", false)>] @@ -192,14 +192,14 @@ Microsoft.ML.TorchSharp.NasBert.NerTrainer - - - - - - - - + + + + + + + + The transform's catalog. @@ -232,8 +232,8 @@ Microsoft.ML.TorchSharp.AutoFormerV2.ObjectDetectionTrainer - - + + The transform's catalog. @@ -260,14 +260,14 @@ Microsoft.ML.TorchSharp.AutoFormerV2.ObjectDetectionTrainer - - - - - - - - + + + + + + + + The transform's catalog. @@ -300,8 +300,8 @@ Microsoft.ML.TorchSharp.Roberta.QATrainer - - + + The transform's catalog. @@ -330,18 +330,18 @@ Microsoft.ML.TorchSharp.Roberta.QATrainer - - - - - - - - - - - - + + + + + + + + + + + + The transform's catalog. @@ -380,8 +380,8 @@ Microsoft.ML.TorchSharp.NasBert.SentenceSimilarityTrainer - - + + The transform's catalog. @@ -454,8 +454,8 @@ Microsoft.ML.TorchSharp.NasBert.TextClassificationTrainer - - + + The transform's catalog. diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestBinaryTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestBinaryTrainer.xml index 625008d74..a985a615c 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestBinaryTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestBinaryTrainer.xml @@ -40,9 +40,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-fastforest.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestRegressionTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestRegressionTrainer.xml index dbee4d909..4452bafaf 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestRegressionTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestRegressionTrainer.xml @@ -40,9 +40,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-fastforest.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeBinaryTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeBinaryTrainer.xml index 29fedb89e..dc480f636 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeBinaryTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeBinaryTrainer.xml @@ -40,9 +40,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-fasttree.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRankingTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRankingTrainer.xml index dd2d9564c..1ecf69043 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRankingTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRankingTrainer.xml @@ -40,9 +40,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-fasttree.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRegressionTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRegressionTrainer.xml index 20c4b0d97..ba97f27cb 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRegressionTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRegressionTrainer.xml @@ -40,9 +40,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-fasttree.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeTweedieTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeTweedieTrainer.xml index 5e4ccb7fa..e9b6de079 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeTweedieTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeTweedieTrainer.xml @@ -48,9 +48,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamBinaryTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamBinaryTrainer.xml index 16d24117e..ac6820f17 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamBinaryTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamBinaryTrainer.xml @@ -40,9 +40,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-gam.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamRegressionTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamRegressionTrainer.xml index 961bfb007..94b23fe95 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamRegressionTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamRegressionTrainer.xml @@ -40,9 +40,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-gam.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmBinaryTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmBinaryTrainer.xml index aa610a8bc..1e395805e 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmBinaryTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmBinaryTrainer.xml @@ -41,8 +41,8 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-lightgbm.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmMulticlassTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmMulticlassTrainer.xml index 7ecf6ea2b..112e22049 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmMulticlassTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmMulticlassTrainer.xml @@ -41,9 +41,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-lightgbm.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRankingTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRankingTrainer.xml index b6d25114f..c75484a8e 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRankingTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRankingTrainer.xml @@ -41,9 +41,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-lightgbm.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRegressionTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRegressionTrainer.xml index 3247ba90e..b1b1f8be4 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRegressionTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRegressionTrainer.xml @@ -41,9 +41,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-lightgbm.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/AveragedLinearOptions.xml b/dotnet/xml/Microsoft.ML.Trainers/AveragedLinearOptions.xml index cc8bbfb9c..050b5236e 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/AveragedLinearOptions.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/AveragedLinearOptions.xml @@ -72,7 +72,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.BooleanChoice] [<Microsoft.ML.SearchSpace.BooleanChoice>] @@ -103,7 +103,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(0, 32768, 0, false)] [<Microsoft.ML.SearchSpace.Range(0, 32768, 0, false)>] @@ -156,7 +156,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(0.0001, 1, 1, true)] [<Microsoft.ML.SearchSpace.Range(0.0001, 1, 1, true)>] diff --git a/dotnet/xml/Microsoft.ML.Trainers/AveragedPerceptronTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/AveragedPerceptronTrainer.xml index f993d7c05..e335e87b0 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/AveragedPerceptronTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/AveragedPerceptronTrainer.xml @@ -58,9 +58,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/FieldAwareFactorizationMachineTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/FieldAwareFactorizationMachineTrainer.xml index 34de1ec04..e618ff2aa 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/FieldAwareFactorizationMachineTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/FieldAwareFactorizationMachineTrainer.xml @@ -72,10 +72,10 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/ICalculateFeatureContribution.xml b/dotnet/xml/Microsoft.ML.Trainers/ICalculateFeatureContribution.xml index 1bd1290cd..65c4c42e9 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/ICalculateFeatureContribution.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/ICalculateFeatureContribution.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/IClassificationLoss.xml b/dotnet/xml/Microsoft.ML.Trainers/IClassificationLoss.xml index a897a3393..7a5a02476 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/IClassificationLoss.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/IClassificationLoss.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/ILossFunction`2.xml b/dotnet/xml/Microsoft.ML.Trainers/ILossFunction`2.xml index da6f27292..ef5573270 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/ILossFunction`2.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/ILossFunction`2.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/IRegressionLoss.xml b/dotnet/xml/Microsoft.ML.Trainers/IRegressionLoss.xml index 4d037c93e..afff9dfd0 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/IRegressionLoss.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/IRegressionLoss.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/IScalarLoss.xml b/dotnet/xml/Microsoft.ML.Trainers/IScalarLoss.xml index e70e351e3..3cf005fbb 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/IScalarLoss.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/IScalarLoss.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/ISupportSdcaClassificationLoss.xml b/dotnet/xml/Microsoft.ML.Trainers/ISupportSdcaClassificationLoss.xml index a9cb03d71..06a1d2c76 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/ISupportSdcaClassificationLoss.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/ISupportSdcaClassificationLoss.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/ISupportSdcaLoss.xml b/dotnet/xml/Microsoft.ML.Trainers/ISupportSdcaLoss.xml index 4ddfbd0fb..47fdc6198 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/ISupportSdcaLoss.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/ISupportSdcaLoss.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/ISupportSdcaRegressionLoss.xml b/dotnet/xml/Microsoft.ML.Trainers/ISupportSdcaRegressionLoss.xml index 9de39d2ee..39f3f2f99 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/ISupportSdcaRegressionLoss.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/ISupportSdcaRegressionLoss.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/ITrainerEstimator`2.xml b/dotnet/xml/Microsoft.ML.Trainers/ITrainerEstimator`2.xml index abe127096..a1b693f5b 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/ITrainerEstimator`2.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/ITrainerEstimator`2.xml @@ -1,9 +1,9 @@ - - + + - + @@ -45,7 +45,7 @@ - + Property diff --git a/dotnet/xml/Microsoft.ML.Trainers/LbfgsLogisticRegressionBinaryTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/LbfgsLogisticRegressionBinaryTrainer.xml index 663dc7186..6750230e4 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/LbfgsLogisticRegressionBinaryTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/LbfgsLogisticRegressionBinaryTrainer.xml @@ -66,9 +66,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/LbfgsMaximumEntropyMulticlassTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/LbfgsMaximumEntropyMulticlassTrainer.xml index 7a633436a..9636ee96c 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/LbfgsMaximumEntropyMulticlassTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/LbfgsMaximumEntropyMulticlassTrainer.xml @@ -61,9 +61,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/LbfgsPoissonRegressionTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/LbfgsPoissonRegressionTrainer.xml index 1667ef9f4..63fad6047 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/LbfgsPoissonRegressionTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/LbfgsPoissonRegressionTrainer.xml @@ -45,9 +45,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/LbfgsTrainerBase`3+OptionsBase.xml b/dotnet/xml/Microsoft.ML.Trainers/LbfgsTrainerBase`3+OptionsBase.xml index c35470114..6210c7bdc 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/LbfgsTrainerBase`3+OptionsBase.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/LbfgsTrainerBase`3+OptionsBase.xml @@ -65,7 +65,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.BooleanChoice] [<Microsoft.ML.SearchSpace.BooleanChoice>] @@ -92,7 +92,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.BooleanChoice] [<Microsoft.ML.SearchSpace.BooleanChoice>] @@ -119,7 +119,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(2, 512, 2, true)] [<Microsoft.ML.SearchSpace.Range(2, 512, 2, true)>] @@ -146,7 +146,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(0, 1, 0, false)] [<Microsoft.ML.SearchSpace.Range(0, 1, 0, false)>] @@ -177,7 +177,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(0.03125, 32768, 1, true)] [<Microsoft.ML.SearchSpace.Range(0.03125, 32768, 1, true)>] @@ -204,7 +204,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(0.03125, 32768, 1, true)] [<Microsoft.ML.SearchSpace.Range(0.03125, 32768, 1, true)>] @@ -231,7 +231,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(1, 2147483647, 1, true)] [<Microsoft.ML.SearchSpace.Range(1, 2147483647, 1, true)>] @@ -279,7 +279,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(1E-07, 0.1, 0.0001, true)] [<Microsoft.ML.SearchSpace.Range(1E-07, 0.1, 0.0001, true)>] diff --git a/dotnet/xml/Microsoft.ML.Trainers/LdSvmTrainer+Options.xml b/dotnet/xml/Microsoft.ML.Trainers/LdSvmTrainer+Options.xml index e1f83dd7f..346527d6b 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/LdSvmTrainer+Options.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/LdSvmTrainer+Options.xml @@ -64,7 +64,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(0.0001, 1, 0.0001, true)] [<Microsoft.ML.SearchSpace.Range(0.0001, 1, 0.0001, true)>] @@ -91,7 +91,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(0.0001, 1, 0.0001, true)] [<Microsoft.ML.SearchSpace.Range(0.0001, 1, 0.0001, true)>] @@ -118,7 +118,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(0.0001, 1, 0.0001, true)] [<Microsoft.ML.SearchSpace.Range(0.0001, 1, 0.0001, true)>] @@ -145,7 +145,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(1, 2147483647, 1, true)] [<Microsoft.ML.SearchSpace.Range(1, 2147483647, 1, true)>] @@ -172,7 +172,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(0.0001, 1, 0.0001, true)] [<Microsoft.ML.SearchSpace.Range(0.0001, 1, 0.0001, true)>] @@ -199,7 +199,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(1, 128, 1, true)] [<Microsoft.ML.SearchSpace.Range(1, 128, 1, true)>] @@ -226,7 +226,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.BooleanChoice(true)] [<Microsoft.ML.SearchSpace.BooleanChoice(true)>] diff --git a/dotnet/xml/Microsoft.ML.Trainers/LdSvmTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/LdSvmTrainer.xml index 3d7e005f6..ad398a5bd 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/LdSvmTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/LdSvmTrainer.xml @@ -51,8 +51,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/LinearSvmTrainer+Options.xml b/dotnet/xml/Microsoft.ML.Trainers/LinearSvmTrainer+Options.xml index ff73397e6..26cfe870c 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/LinearSvmTrainer+Options.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/LinearSvmTrainer+Options.xml @@ -48,7 +48,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(1, 128, 1, true)] [<Microsoft.ML.SearchSpace.Range(1, 128, 1, true)>] @@ -94,7 +94,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(1E-06, 1, 0.0001, true)] [<Microsoft.ML.SearchSpace.Range(1E-06, 1, 0.0001, true)>] @@ -119,7 +119,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.BooleanChoice(false)] [<Microsoft.ML.SearchSpace.BooleanChoice(false)>] @@ -144,7 +144,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.BooleanChoice(false)] [<Microsoft.ML.SearchSpace.BooleanChoice(false)>] diff --git a/dotnet/xml/Microsoft.ML.Trainers/LinearSvmTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/LinearSvmTrainer.xml index 548ad158c..9181b901d 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/LinearSvmTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/LinearSvmTrainer.xml @@ -50,8 +50,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/MatrixFactorizationTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/MatrixFactorizationTrainer.xml index 5ef96189d..9f84844c2 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/MatrixFactorizationTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/MatrixFactorizationTrainer.xml @@ -107,9 +107,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/NaiveBayesMulticlassModelParameters.xml b/dotnet/xml/Microsoft.ML.Trainers/NaiveBayesMulticlassModelParameters.xml index 8d3fdae74..26372c96a 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/NaiveBayesMulticlassModelParameters.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/NaiveBayesMulticlassModelParameters.xml @@ -34,7 +34,7 @@ 1.0.0.0 - + [System.Obsolete("This API is deprecated, please use GetFeatureHistogramLong() which returns _featureHistogram with type IReadOnlyList<long> to avoid overflow errors with large datasets.", true)] [<System.Obsolete("This API is deprecated, please use GetFeatureHistogramLong() which returns _featureHistogram with type IReadOnlyList<long> to avoid overflow errors with large datasets.", true)>] @@ -86,7 +86,7 @@ 1.0.0.0 - + [System.Obsolete("This API is deprecated, please use GetLabelHistogramLong() which returns _labelHistogram with type IReadOnlyList<long> to avoid overflow errors with large datasets.", true)] [<System.Obsolete("This API is deprecated, please use GetLabelHistogramLong() which returns _labelHistogram with type IReadOnlyList<long> to avoid overflow errors with large datasets.", true)>] diff --git a/dotnet/xml/Microsoft.ML.Trainers/OlsTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/OlsTrainer.xml index 864f4b598..3b05e91ee 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/OlsTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/OlsTrainer.xml @@ -45,9 +45,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/OnlineGradientDescentTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/OnlineGradientDescentTrainer.xml index 8a7d3f654..32f49fe30 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/OnlineGradientDescentTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/OnlineGradientDescentTrainer.xml @@ -45,9 +45,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/OnlineLinearOptions.xml b/dotnet/xml/Microsoft.ML.Trainers/OnlineLinearOptions.xml index 1c8b56eee..9ae9f8464 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/OnlineLinearOptions.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/OnlineLinearOptions.xml @@ -47,7 +47,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(0, 1, 0, false)] [<Microsoft.ML.SearchSpace.Range(0, 1, 0, false)>] @@ -78,7 +78,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(1, 512, 1, true)] [<Microsoft.ML.SearchSpace.Range(1, 512, 1, true)>] diff --git a/dotnet/xml/Microsoft.ML.Trainers/RandomizedPcaTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/RandomizedPcaTrainer.xml index 00aacf60b..55c4d1d00 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/RandomizedPcaTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/RandomizedPcaTrainer.xml @@ -60,9 +60,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SdcaLogisticRegressionBinaryTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/SdcaLogisticRegressionBinaryTrainer.xml index 575376c5f..1332754d2 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SdcaLogisticRegressionBinaryTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SdcaLogisticRegressionBinaryTrainer.xml @@ -44,9 +44,9 @@ [!include[references](~/../docs/samples/docs/api-reference/algo-details-sdca-refs.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SdcaMaximumEntropyMulticlassTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/SdcaMaximumEntropyMulticlassTrainer.xml index 09cce5fb4..e9fa09377 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SdcaMaximumEntropyMulticlassTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SdcaMaximumEntropyMulticlassTrainer.xml @@ -49,9 +49,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SdcaMulticlassTrainerBase`1.xml b/dotnet/xml/Microsoft.ML.Trainers/SdcaMulticlassTrainerBase`1.xml index e5caa696d..023e55568 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SdcaMulticlassTrainerBase`1.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SdcaMulticlassTrainerBase`1.xml @@ -72,12 +72,12 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedBinaryTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedBinaryTrainer.xml index ee81fc3ba..a734fde4b 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedBinaryTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedBinaryTrainer.xml @@ -42,9 +42,9 @@ [!include[references](~/../docs/samples/docs/api-reference/algo-details-sdca-refs.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedMulticlassTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedMulticlassTrainer.xml index 5ea6bcdd3..1bac4efbe 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedMulticlassTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedMulticlassTrainer.xml @@ -49,9 +49,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SdcaRegressionTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/SdcaRegressionTrainer.xml index ebef8cc02..2baa269fd 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SdcaRegressionTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SdcaRegressionTrainer.xml @@ -44,9 +44,9 @@ [!include[references](~/../docs/samples/docs/api-reference/algo-details-sdca-refs.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SdcaTrainerBase`3+OptionsBase.xml b/dotnet/xml/Microsoft.ML.Trainers/SdcaTrainerBase`3+OptionsBase.xml index 5b3525aa9..74b6240bc 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SdcaTrainerBase`3+OptionsBase.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SdcaTrainerBase`3+OptionsBase.xml @@ -49,7 +49,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(1E-07, 1, 1E-07, true)] [<Microsoft.ML.SearchSpace.Range(1E-07, 1, 1E-07, true)>] @@ -100,7 +100,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(1E-07, 1, 1E-07, true)] [<Microsoft.ML.SearchSpace.Range(1E-07, 1, 1E-07, true)>] @@ -127,7 +127,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(1E-07, 32768, 1E-07, true)] [<Microsoft.ML.SearchSpace.Range(1E-07, 32768, 1E-07, true)>] @@ -154,7 +154,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(1E-07, 32768, 1E-07, true)] [<Microsoft.ML.SearchSpace.Range(1E-07, 32768, 1E-07, true)>] @@ -181,7 +181,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(10, 1000, 10, true)] [<Microsoft.ML.SearchSpace.Range(10, 1000, 10, true)>] diff --git a/dotnet/xml/Microsoft.ML.Trainers/SgdBinaryTrainerBase`1+OptionsBase.xml b/dotnet/xml/Microsoft.ML.Trainers/SgdBinaryTrainerBase`1+OptionsBase.xml index d0b1623ef..174301f88 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SgdBinaryTrainerBase`1+OptionsBase.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SgdBinaryTrainerBase`1+OptionsBase.xml @@ -76,7 +76,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(1E-06, 0.1, 0.1, true)] [<Microsoft.ML.SearchSpace.Range(1E-06, 0.1, 0.1, true)>] @@ -104,7 +104,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(0.03125, 32768, 1, true)] [<Microsoft.ML.SearchSpace.Range(0.03125, 32768, 1, true)>] @@ -131,7 +131,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(0.001, 1, 0.001, true)] [<Microsoft.ML.SearchSpace.Range(0.001, 1, 0.001, true)>] @@ -158,7 +158,7 @@ 1.0.0.0 - + [Microsoft.ML.SearchSpace.Range(1, 20, 1, true)] [<Microsoft.ML.SearchSpace.Range(1, 20, 1, true)>] diff --git a/dotnet/xml/Microsoft.ML.Trainers/SgdCalibratedTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/SgdCalibratedTrainer.xml index 359194997..2612f2d59 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SgdCalibratedTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SgdCalibratedTrainer.xml @@ -40,9 +40,9 @@ [!include[io](~/../docs/samples/docs/api-reference/algo-details-sgd.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SgdNonCalibratedTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/SgdNonCalibratedTrainer.xml index 09f0d24e5..8738de803 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SgdNonCalibratedTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SgdNonCalibratedTrainer.xml @@ -38,9 +38,9 @@ [!include[io](~/../docs/samples/docs/api-reference/algo-details-sgd.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SymbolicSgdLogisticRegressionBinaryTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/SymbolicSgdLogisticRegressionBinaryTrainer.xml index f141c13fd..124727e43 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SymbolicSgdLogisticRegressionBinaryTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SymbolicSgdLogisticRegressionBinaryTrainer.xml @@ -51,9 +51,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms.Onnx/OnnxSequenceTypeAttribute.xml b/dotnet/xml/Microsoft.ML.Transforms.Onnx/OnnxSequenceTypeAttribute.xml index cf537bd03..337ded7e3 100644 --- a/dotnet/xml/Microsoft.ML.Transforms.Onnx/OnnxSequenceTypeAttribute.xml +++ b/dotnet/xml/Microsoft.ML.Transforms.Onnx/OnnxSequenceTypeAttribute.xml @@ -33,11 +33,11 @@ 1.0.0.0 - + [System.ComponentModel.EditorBrowsable(System.ComponentModel.EditorBrowsableState.Never)] [<System.ComponentModel.EditorBrowsable(System.ComponentModel.EditorBrowsableState.Never)>] - + [System.Obsolete("Please specify sequence type when use OnnxSequenceType Attribute", false)] [<System.Obsolete("Please specify sequence type when use OnnxSequenceType Attribute", false)>] diff --git a/dotnet/xml/Microsoft.ML.Transforms.Onnx/OnnxSessionOptions+CreateOnnxSessionOptions.xml b/dotnet/xml/Microsoft.ML.Transforms.Onnx/OnnxSessionOptions+CreateOnnxSessionOptions.xml new file mode 100644 index 000000000..83e114866 --- /dev/null +++ b/dotnet/xml/Microsoft.ML.Transforms.Onnx/OnnxSessionOptions+CreateOnnxSessionOptions.xml @@ -0,0 +1,23 @@ + + + + + + + + Microsoft.ML.OnnxTransformer + 1.0.0.0 + + + System.Delegate + + + + Microsoft.ML.OnnxRuntime.SessionOptions + + + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.ML.Transforms.Onnx/OnnxSessionOptions.xml b/dotnet/xml/Microsoft.ML.Transforms.Onnx/OnnxSessionOptions.xml new file mode 100644 index 000000000..087d3ffad --- /dev/null +++ b/dotnet/xml/Microsoft.ML.Transforms.Onnx/OnnxSessionOptions.xml @@ -0,0 +1,395 @@ + + + + + + + + Microsoft.ML.OnnxTransformer + 1.0.0.0 + + + System.Object + + + + To be added. + To be added. + + + + + + + + Constructor + + Microsoft.ML.OnnxTransformer + 1.0.0.0 + + + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.OnnxTransformer + 1.0.0.0 + + + Microsoft.ML.Transforms.Onnx.OnnxSessionOptions+CreateOnnxSessionOptions + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.OnnxTransformer + 1.0.0.0 + + + System.Boolean + + + + Enables Arena allocator for the CPU memory allocations. Default is true. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.OnnxTransformer + 1.0.0.0 + + + System.Boolean + + + + Enables the use of the memory allocation patterns in the first Run() call for subsequent runs. Default = true. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.OnnxTransformer + 1.0.0.0 + + + System.Boolean + + + + Enables profiling of InferenceSession.Run() calls. Default is false + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.OnnxTransformer + 1.0.0.0 + + + Microsoft.ML.OnnxRuntime.ExecutionMode + + + + Sets the execution mode for the session. Default is set to ORT_SEQUENTIAL. + See [ONNX_Runtime_Perf_Tuning.md] for more details. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.OnnxTransformer + 1.0.0.0 + + + System.Int32 + + + + Sets the number of threads used to parallelize the execution of the graph (across nodes) + If sequential execution is enabled this value is ignored + A value of 0 means ORT will pick a default. Only used when is false. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.OnnxTransformer + 1.0.0.0 + + + System.Int32 + + + + Sets the number of threads used to parallelize the execution within nodes + A value of 0 means ORT will pick a default. Only used when is false. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.OnnxTransformer + 1.0.0.0 + + + Microsoft.ML.OnnxRuntime.GraphOptimizationLevel + + + + Sets the graph optimization level for the session. Default is set to ORT_ENABLE_ALL. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.OnnxTransformer + 1.0.0.0 + + + System.Int32 + + + + Sets the number of threads used to parallelize the execution of the graph (across nodes) + If sequential execution is enabled this value is ignored + A value of 0 means ORT will pick a default + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.OnnxTransformer + 1.0.0.0 + + + System.Int32 + + + + Sets the number of threads used to parallelize the execution within nodes + A value of 0 means ORT will pick a default + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.OnnxTransformer + 1.0.0.0 + + + System.String + + + + Log Id to be used for the session. Default is empty string. + + To be added. + To be added. + + + + + + + + + Field + + Microsoft.ML.OnnxTransformer + 1.0.0.0 + + + Microsoft.ML.OnnxRuntime.OrtLoggingLevel + + + + Log Severity Level for the session logs. Default = ORT_LOGGING_LEVEL_WARNING + + To be added. + + + + + + + + + Property + + Microsoft.ML.OnnxTransformer + 1.0.0.0 + + + System.Int32 + + + + Log Verbosity Level for the session logs. Default = 0. Valid values are >=0. + This takes into effect only when the LogSeverityLevel is set to ORT_LOGGING_LEVEL_VERBOSE. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.OnnxTransformer + 1.0.0.0 + + + System.String + + + + Set filepath to save optimized model after graph level transformations. Default is empty, which implies saving is disabled. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.OnnxTransformer + 1.0.0.0 + + + System.Boolean + + + + Per session threads. Default is true. + If false this makes all sessions in the process use a global TP. + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.OnnxTransformer + 1.0.0.0 + + + System.String + + + + Path prefix to use for output of profiling data + + To be added. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.Transforms.Onnx/OnnxSessionOptionsExtensions.xml b/dotnet/xml/Microsoft.ML.Transforms.Onnx/OnnxSessionOptionsExtensions.xml new file mode 100644 index 000000000..c6f7ae1d9 --- /dev/null +++ b/dotnet/xml/Microsoft.ML.Transforms.Onnx/OnnxSessionOptionsExtensions.xml @@ -0,0 +1,70 @@ + + + + + + + + Microsoft.ML.OnnxTransformer + 1.0.0.0 + + + System.Object + + + + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.OnnxTransformer + 1.0.0.0 + + + Microsoft.ML.Transforms.Onnx.OnnxSessionOptions + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.OnnxTransformer + 1.0.0.0 + + + System.Void + + + + + + + To be added. + To be added. + To be added. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.Transforms.Onnx/OnnxTransformer.xml b/dotnet/xml/Microsoft.ML.Transforms.Onnx/OnnxTransformer.xml index 7c07d8a16..892da377f 100644 --- a/dotnet/xml/Microsoft.ML.Transforms.Onnx/OnnxTransformer.xml +++ b/dotnet/xml/Microsoft.ML.Transforms.Onnx/OnnxTransformer.xml @@ -1,9 +1,9 @@ - - + + - - + + @@ -16,7 +16,7 @@ Microsoft.ML.Data.RowToRowTransformerBase - + System.IDisposable diff --git a/dotnet/xml/Microsoft.ML.Transforms.Text/IStopWordsRemoverOptions.xml b/dotnet/xml/Microsoft.ML.Transforms.Text/IStopWordsRemoverOptions.xml index f424898c8..6aff38b50 100644 --- a/dotnet/xml/Microsoft.ML.Transforms.Text/IStopWordsRemoverOptions.xml +++ b/dotnet/xml/Microsoft.ML.Transforms.Text/IStopWordsRemoverOptions.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Transforms.Text/LatentDirichletAllocationEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms.Text/LatentDirichletAllocationEstimator.xml index 3780d9618..a6c7b244d 100644 --- a/dotnet/xml/Microsoft.ML.Transforms.Text/LatentDirichletAllocationEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms.Text/LatentDirichletAllocationEstimator.xml @@ -49,7 +49,7 @@ we would get the results displayed in the table below. Example documents: * I like to eat bananas. * I eat bananas everyday. - * First celebrated in 1970, Earth Day now includes events in more than 193 countries, + * First celebrated in 1970, Earth Day now includes events in more than 193 countries/regions, which are now coordinated globally by the Earth Day Network. Notice the similarity in values of the first and second row, compared to the third, diff --git a/dotnet/xml/Microsoft.ML.Transforms.Text/LatentDirichletAllocationTransformer.xml b/dotnet/xml/Microsoft.ML.Transforms.Text/LatentDirichletAllocationTransformer.xml index ce2ae18b3..5c20e8cc0 100644 --- a/dotnet/xml/Microsoft.ML.Transforms.Text/LatentDirichletAllocationTransformer.xml +++ b/dotnet/xml/Microsoft.ML.Transforms.Text/LatentDirichletAllocationTransformer.xml @@ -60,21 +60,21 @@ - - - - - + + + + + Method Microsoft.ML.Transforms 1.0.0.0 - Microsoft.ML.Transforms.Text.LatentDirichletAllocationTransformer+ModelParameters + Microsoft.ML.Transforms.Text.LatentDirichletAllocationTransformer+ModelParameters - + index of column options pair diff --git a/dotnet/xml/Microsoft.ML.Transforms.Text/TextFeaturizingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms.Text/TextFeaturizingEstimator.xml index 7b4069a55..540a3fb1c 100644 --- a/dotnet/xml/Microsoft.ML.Transforms.Text/TextFeaturizingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms.Text/TextFeaturizingEstimator.xml @@ -48,8 +48,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms.Text/WordBagEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms.Text/WordBagEstimator.xml index 08d67c0f8..55f823165 100644 --- a/dotnet/xml/Microsoft.ML.Transforms.Text/WordBagEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms.Text/WordBagEstimator.xml @@ -40,8 +40,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms.Text/WordEmbeddingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms.Text/WordEmbeddingEstimator.xml index b32dbb323..8cedabcc4 100644 --- a/dotnet/xml/Microsoft.ML.Transforms.Text/WordEmbeddingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms.Text/WordEmbeddingEstimator.xml @@ -48,8 +48,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms.Text/WordHashBagEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms.Text/WordHashBagEstimator.xml index 9d06e6361..3fce04c9c 100644 --- a/dotnet/xml/Microsoft.ML.Transforms.Text/WordHashBagEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms.Text/WordHashBagEstimator.xml @@ -40,8 +40,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms.TimeSeries/PredictionFunctionExtensions.xml b/dotnet/xml/Microsoft.ML.Transforms.TimeSeries/PredictionFunctionExtensions.xml index 17ce8fa7c..bf62b8417 100644 --- a/dotnet/xml/Microsoft.ML.Transforms.TimeSeries/PredictionFunctionExtensions.xml +++ b/dotnet/xml/Microsoft.ML.Transforms.TimeSeries/PredictionFunctionExtensions.xml @@ -45,9 +45,9 @@ - - - + + + Class describing input schema to the model. diff --git a/dotnet/xml/Microsoft.ML.Transforms/ColumnSelectingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/ColumnSelectingEstimator.xml index 2e152dc64..1e794ee43 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/ColumnSelectingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/ColumnSelectingEstimator.xml @@ -41,9 +41,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/CountFeatureSelectingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/CountFeatureSelectingEstimator.xml index b9817eae0..d7ea211df 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/CountFeatureSelectingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/CountFeatureSelectingEstimator.xml @@ -61,8 +61,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/FeatureContributionCalculatingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/FeatureContributionCalculatingEstimator.xml index 4f363d703..b8db167e0 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/FeatureContributionCalculatingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/FeatureContributionCalculatingEstimator.xml @@ -79,8 +79,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/HashingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/HashingEstimator.xml index 22ae91682..aa1d9ffbb 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/HashingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/HashingEstimator.xml @@ -35,8 +35,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/IFunctionProvider.xml b/dotnet/xml/Microsoft.ML.Transforms/IFunctionProvider.xml index e3fedef55..c1aacca93 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/IFunctionProvider.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/IFunctionProvider.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/KeyToValueMappingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/KeyToValueMappingEstimator.xml index b08810c07..7976a6572 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/KeyToValueMappingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/KeyToValueMappingEstimator.xml @@ -33,8 +33,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/KeyToVectorMappingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/KeyToVectorMappingEstimator.xml index 6189add8a..412c64df3 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/KeyToVectorMappingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/KeyToVectorMappingEstimator.xml @@ -36,8 +36,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/MissingValueIndicatorEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/MissingValueIndicatorEstimator.xml index 1479e1470..247325059 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/MissingValueIndicatorEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/MissingValueIndicatorEstimator.xml @@ -35,8 +35,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/MissingValueReplacingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/MissingValueReplacingEstimator.xml index ac4e8f1ae..3b9f9d363 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/MissingValueReplacingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/MissingValueReplacingEstimator.xml @@ -37,8 +37,8 @@ Check the See Also section for links of usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/MutualInformationFeatureSelectingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/MutualInformationFeatureSelectingEstimator.xml index 37bbd8465..18ce498f2 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/MutualInformationFeatureSelectingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/MutualInformationFeatureSelectingEstimator.xml @@ -65,8 +65,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/OneHotEncodingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/OneHotEncodingEstimator.xml index 8f1d878ab..34a2092a2 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/OneHotEncodingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/OneHotEncodingEstimator.xml @@ -65,8 +65,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/OneHotHashEncodingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/OneHotHashEncodingEstimator.xml index 7c254fc10..a81eb32b7 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/OneHotHashEncodingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/OneHotHashEncodingEstimator.xml @@ -64,8 +64,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/TensorFlowModel.xml b/dotnet/xml/Microsoft.ML.Transforms/TensorFlowModel.xml index 00dc4177d..2f2b6014e 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/TensorFlowModel.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/TensorFlowModel.xml @@ -1,9 +1,9 @@ - - + + - - + + @@ -16,7 +16,7 @@ System.Object - + System.IDisposable @@ -173,8 +173,8 @@ - The name of the model input. The data type is a vector of . The name of the requested model output. The data type is a vector of + The name of the model input. The data type is a vector of . Add a batch dimension to the input e.g. input = [224, 224, 3] => [-1, 224, 224, 3]. This parameter is used to deal with models that have unknown shape but the internal operators in the model require data to have batch dimension as well. @@ -209,8 +209,8 @@ - The names of the model inputs. The names of the requested model outputs. + The names of the model inputs. Add a batch dimension to the input e.g. input = [224, 224, 3] => [-1, 224, 224, 3]. This parameter is used to deal with models that have unknown shape but the internal operators in the model require data to have batch dimension as well. diff --git a/dotnet/xml/Microsoft.ML.Transforms/TensorFlowTransformer.xml b/dotnet/xml/Microsoft.ML.Transforms/TensorFlowTransformer.xml index 6d761e599..35ba60ae8 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/TensorFlowTransformer.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/TensorFlowTransformer.xml @@ -1,9 +1,9 @@ - - + + - - + + @@ -16,7 +16,7 @@ Microsoft.ML.Data.RowToRowTransformerBase - + System.IDisposable diff --git a/dotnet/xml/Microsoft.ML.Transforms/TypeConvertingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/TypeConvertingEstimator.xml index 73b1bef48..a11450241 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/TypeConvertingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/TypeConvertingEstimator.xml @@ -34,8 +34,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/ValueToKeyMappingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/ValueToKeyMappingEstimator.xml index 67c2bb5e7..4d144c382 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/ValueToKeyMappingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/ValueToKeyMappingEstimator.xml @@ -48,8 +48,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Vision/ImageClassificationModelParameters.xml b/dotnet/xml/Microsoft.ML.Vision/ImageClassificationModelParameters.xml index 92e36ce65..3dfdb2509 100644 --- a/dotnet/xml/Microsoft.ML.Vision/ImageClassificationModelParameters.xml +++ b/dotnet/xml/Microsoft.ML.Vision/ImageClassificationModelParameters.xml @@ -1,9 +1,9 @@ - - + + - - + + @@ -19,7 +19,7 @@ - + System.IDisposable diff --git a/dotnet/xml/Microsoft.ML/AnomalyDetectionCatalog.xml b/dotnet/xml/Microsoft.ML/AnomalyDetectionCatalog.xml index 577a28a26..a5c435496 100644 --- a/dotnet/xml/Microsoft.ML/AnomalyDetectionCatalog.xml +++ b/dotnet/xml/Microsoft.ML/AnomalyDetectionCatalog.xml @@ -42,8 +42,8 @@ - - + + To be added. diff --git a/dotnet/xml/Microsoft.ML/ClusteringCatalog.xml b/dotnet/xml/Microsoft.ML/ClusteringCatalog.xml index 2e73f95c3..f31f03e7b 100644 --- a/dotnet/xml/Microsoft.ML/ClusteringCatalog.xml +++ b/dotnet/xml/Microsoft.ML/ClusteringCatalog.xml @@ -84,9 +84,9 @@ The scored data. - The name of the score column in . The name of the optional label column in . If present, the metric will be computed. + The name of the score column in . The name of the optional features column in . If present, the metric will be computed. diff --git a/dotnet/xml/Microsoft.ML/ConversionsExtensionsCatalog.xml b/dotnet/xml/Microsoft.ML/ConversionsExtensionsCatalog.xml index 5ecf734d9..6c619d123 100644 --- a/dotnet/xml/Microsoft.ML/ConversionsExtensionsCatalog.xml +++ b/dotnet/xml/Microsoft.ML/ConversionsExtensionsCatalog.xml @@ -94,24 +94,24 @@ - - - - - + + + + + Method Microsoft.ML.Data 1.0.0.0 - Microsoft.ML.Transforms.HashingEstimator + Microsoft.ML.Transforms.HashingEstimator - - + + - + [System.ParamArray] [<System.ParamArray>] diff --git a/dotnet/xml/Microsoft.ML/CustomMappingCatalog.xml b/dotnet/xml/Microsoft.ML/CustomMappingCatalog.xml index f1e249cba..df7508c07 100644 --- a/dotnet/xml/Microsoft.ML/CustomMappingCatalog.xml +++ b/dotnet/xml/Microsoft.ML/CustomMappingCatalog.xml @@ -108,9 +108,9 @@ - - - + + + The class defining which columns to take from the incoming data. @@ -153,10 +153,10 @@ - - - - + + + + The class defining which columns to take from the incoming data. @@ -208,15 +208,15 @@ - - - - + + + + The class defining which columns to take from the incoming data. - The type that describes per-cursor state. The class defining which new columns are added to the data. + The type that describes per-cursor state. The transform catalog. The mapping action. In addition to the input and output objects, the action is given a state object that it can look at and/or modify. If the resulting transformer needs to be save-able, the class defining should implement diff --git a/dotnet/xml/Microsoft.ML/FactorizationMachineExtensions.xml b/dotnet/xml/Microsoft.ML/FactorizationMachineExtensions.xml index 15c33c800..f8014da2a 100644 --- a/dotnet/xml/Microsoft.ML/FactorizationMachineExtensions.xml +++ b/dotnet/xml/Microsoft.ML/FactorizationMachineExtensions.xml @@ -75,8 +75,8 @@ The binary classification catalog trainer object. - The name of the label column. The column data must be . The name of the feature column. The column data must be a known-sized vector of . + The name of the label column. The column data must be . The name of the example weight column (optional). Create , which predicts a target using a field-aware factorization machine trained over boolean label data. @@ -114,8 +114,8 @@ The binary classification catalog trainer object. - The name of the label column. The column data must be . The names of the feature columns. The column data must be a known-sized vector of . + The name of the label column. The column data must be . The name of the example weight column (optional). Create , which predicts a target using a field-aware factorization machine trained over boolean label data. diff --git a/dotnet/xml/Microsoft.ML/ICanSaveModel.xml b/dotnet/xml/Microsoft.ML/ICanSaveModel.xml index 007a85dda..126a8c04c 100644 --- a/dotnet/xml/Microsoft.ML/ICanSaveModel.xml +++ b/dotnet/xml/Microsoft.ML/ICanSaveModel.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML/IDataLoaderEstimator`2.xml b/dotnet/xml/Microsoft.ML/IDataLoaderEstimator`2.xml index b3b971622..016b0b8ee 100644 --- a/dotnet/xml/Microsoft.ML/IDataLoaderEstimator`2.xml +++ b/dotnet/xml/Microsoft.ML/IDataLoaderEstimator`2.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML/IDataLoader`1.xml b/dotnet/xml/Microsoft.ML/IDataLoader`1.xml index 1fb737061..a35f0d71e 100644 --- a/dotnet/xml/Microsoft.ML/IDataLoader`1.xml +++ b/dotnet/xml/Microsoft.ML/IDataLoader`1.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML/IDataView.xml b/dotnet/xml/Microsoft.ML/IDataView.xml index 4e25daa00..5a73e5ce2 100644 --- a/dotnet/xml/Microsoft.ML/IDataView.xml +++ b/dotnet/xml/Microsoft.ML/IDataView.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML/IEstimator`1.xml b/dotnet/xml/Microsoft.ML/IEstimator`1.xml index a6a26da5d..8fc653218 100644 --- a/dotnet/xml/Microsoft.ML/IEstimator`1.xml +++ b/dotnet/xml/Microsoft.ML/IEstimator`1.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML/IPredictionTransformer`1.xml b/dotnet/xml/Microsoft.ML/IPredictionTransformer`1.xml index 5145c150a..fb0bdfd93 100644 --- a/dotnet/xml/Microsoft.ML/IPredictionTransformer`1.xml +++ b/dotnet/xml/Microsoft.ML/IPredictionTransformer`1.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML/ISingleFeaturePredictionTransformer`1.xml b/dotnet/xml/Microsoft.ML/ISingleFeaturePredictionTransformer`1.xml index fbe1ecc76..86375a31e 100644 --- a/dotnet/xml/Microsoft.ML/ISingleFeaturePredictionTransformer`1.xml +++ b/dotnet/xml/Microsoft.ML/ISingleFeaturePredictionTransformer`1.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML/ITransformer.xml b/dotnet/xml/Microsoft.ML/ITransformer.xml index 1feb8a276..50f4fb277 100644 --- a/dotnet/xml/Microsoft.ML/ITransformer.xml +++ b/dotnet/xml/Microsoft.ML/ITransformer.xml @@ -1,6 +1,6 @@ - + diff --git a/dotnet/xml/Microsoft.ML/ImageEstimatorsCatalog.xml b/dotnet/xml/Microsoft.ML/ImageEstimatorsCatalog.xml index 374fface8..835281743 100644 --- a/dotnet/xml/Microsoft.ML/ImageEstimatorsCatalog.xml +++ b/dotnet/xml/Microsoft.ML/ImageEstimatorsCatalog.xml @@ -195,9 +195,9 @@ The transform's catalog. Name of the column resulting from the transformation of . This column's data type will be . + Folder where to look for images. Name of the column with paths to the images to load. This estimator operates over text data. - Folder where to look for images. Create a , which loads the data from the column specified in as an image to a new column: . @@ -226,18 +226,18 @@ Microsoft.ML.Data.ImageLoadingEstimator - - - - + + + + The transform's catalog. Name of the column resulting from the transformation of . This column's data type will be . + Folder where to look for images. Name of the column with paths to the images to load. This estimator operates over text data. - Folder where to look for images. Create a , which loads the data from the column specified in as an image of raw bytes to a new column: . @@ -278,10 +278,10 @@ The transform's catalog. Name of the column resulting from the transformation of . This column's data type will be the same as that of the input column. - Name of the column with images. - This estimator operates over . The transformed image width. The transformed image height. + Name of the column with images. + This estimator operates over . The type of image resizing as specified in . Where to place the anchor, to start cropping. Options defined in diff --git a/dotnet/xml/Microsoft.ML/LightGbmExtensions.xml b/dotnet/xml/Microsoft.ML/LightGbmExtensions.xml index 0d3fbda98..d07327146 100644 --- a/dotnet/xml/Microsoft.ML/LightGbmExtensions.xml +++ b/dotnet/xml/Microsoft.ML/LightGbmExtensions.xml @@ -168,9 +168,9 @@ Microsoft.ML.Trainers.LightGbm.LightGbmBinaryTrainer - - - + + + The . @@ -198,9 +198,9 @@ Microsoft.ML.Trainers.LightGbm.LightGbmMulticlassTrainer - - - + + + The . @@ -228,9 +228,9 @@ Microsoft.ML.Trainers.LightGbm.LightGbmRankingTrainer - - - + + + The . @@ -258,9 +258,9 @@ Microsoft.ML.Trainers.LightGbm.LightGbmRegressionTrainer - - - + + + The . diff --git a/dotnet/xml/Microsoft.ML/LoggingEventArgs.xml b/dotnet/xml/Microsoft.ML/LoggingEventArgs.xml index 8529011a9..e7a34face 100644 --- a/dotnet/xml/Microsoft.ML/LoggingEventArgs.xml +++ b/dotnet/xml/Microsoft.ML/LoggingEventArgs.xml @@ -53,9 +53,9 @@ 1.0.0.0 - - - + + + The message being logged diff --git a/dotnet/xml/Microsoft.ML/MLContext.xml b/dotnet/xml/Microsoft.ML/MLContext.xml index 74a323467..c75bc658c 100644 --- a/dotnet/xml/Microsoft.ML/MLContext.xml +++ b/dotnet/xml/Microsoft.ML/MLContext.xml @@ -1,8 +1,8 @@ - + - + @@ -29,11 +29,13 @@ - The common context for all ML.NET operations. Once instantiated by the user, it provides a way to + Represents the common context for all ML.NET operations. + + + Once instantiated by the user, this class provides a way to create components for data preparation, feature engineering, training, prediction, and model evaluation. It also allows logging, execution control, and the ability to set repeatable random numbers. - - To be added. + @@ -64,17 +66,17 @@ If a fixed seed is provided by , MLContext environment becomes deterministic, meaning that the results are repeatable and will remain the same across multiple runs. - For instance in many of ML.NET's API reference example code snippets, a seed is provided. + For instance, in many of ML.NET's API reference example code snippets, a seed is provided. That's because we want the users to get the same output as what's included in example comments, when they run the example on their own machine. Generally though, repeatability is not a requirement and that's the default behavior. - If a seed is not provided by , i.e. it's set to , + If a seed is not provided by , that is, it's set to , MLContext environment becomes non-deterministic and outputs change across multiple runs. There are many operations in ML.NET that don't use any randomness, such as - min-max normalization, concatenating columns, missing value indication, etc. - The behavior of those operations are deterministic regardless of the seed value. + min-max normalization, concatenating columns, and missing value indication. + The behavior of those operations is deterministic regardless of the seed value. Also ML.NET trainers don't use randomness *after* the training is finished. So, the predictions from a loaded model don't depend on the seed value. @@ -97,7 +99,7 @@ - Trainers and tasks specific to anomaly detection problems. + Gets the trainers and tasks specific to anomaly detection problems. To be added. To be added. @@ -119,7 +121,7 @@ - Trainers and tasks specific to binary classification problems. + Gets the trainers and tasks specific to binary classification problems. To be added. To be added. @@ -141,7 +143,7 @@ - Trainers and tasks specific to clustering problems. + Gets the trainers and tasks specific to clustering problems. To be added. To be added. @@ -166,7 +168,7 @@ - This is a catalog of components that will be used for model loading. + Gets the catalog of components that will be used for model loading. To be added. To be added. @@ -188,7 +190,7 @@ - Data loading and saving. + Gets the data loading and saving operations. To be added. To be added. @@ -210,7 +212,8 @@ - Allow falling back to run on CPU if couldn't run on GPU. + Gets or sets a value that indicates whether the CPU will + be used if the task couldn't run on GPU. To be added. To be added. @@ -232,12 +235,40 @@ - Trainers and tasks specific to forecasting problems. + Gets the trainers and tasks specific to forecasting problems. To be added. To be added. + + + + + + + Method + + Microsoft.ML.Data + 1.0.0.0 + + + T + + + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + + @@ -254,7 +285,7 @@ - GPU device ID to run execution on, to run on CPU. + Gets or sets the GPU device ID to run execution on, to run on CPU. To be added. To be added. @@ -276,7 +307,7 @@ - The handler for the log messages. + Represents the callback method that will handle the log messages. To be added. @@ -471,7 +502,7 @@ - Operations with trained models. + Gets the operations with trained models. To be added. To be added. @@ -493,7 +524,7 @@ - Trainers and tasks specific to multiclass classification problems. + Gets the trainers and tasks specific to multiclass classification problems. To be added. To be added. @@ -515,7 +546,7 @@ - Trainers and tasks specific to ranking problems. + Gets the trainers and tasks specific to ranking problems. To be added. To be added. @@ -537,12 +568,65 @@ - Trainers and tasks specific to regression problems. + Gets the trainers and tasks specific to regression problems. To be added. To be added. + + + + + + + Method + + Microsoft.ML.Data + 1.0.0.0 + + + System.Boolean + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.Data + 1.0.0.0 + + + System.Void + + + + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + + @@ -581,11 +665,71 @@ - Data processing operations. + Gets the data processing operations. To be added. To be added. + + + + + + + Method + + Microsoft.ML.Data + 1.0.0.0 + + + System.Boolean + + + + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.Data + 1.0.0.0 + + + System.Boolean + + + + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. + + diff --git a/dotnet/xml/Microsoft.ML/ModelOperationsCatalog.xml b/dotnet/xml/Microsoft.ML/ModelOperationsCatalog.xml index d235993b6..ba739a176 100644 --- a/dotnet/xml/Microsoft.ML/ModelOperationsCatalog.xml +++ b/dotnet/xml/Microsoft.ML/ModelOperationsCatalog.xml @@ -92,8 +92,8 @@ - - + + The class that defines the input data. diff --git a/dotnet/xml/Microsoft.ML/NormalizationCatalog.xml b/dotnet/xml/Microsoft.ML/NormalizationCatalog.xml index 2d6c1183f..33051ba9d 100644 --- a/dotnet/xml/Microsoft.ML/NormalizationCatalog.xml +++ b/dotnet/xml/Microsoft.ML/NormalizationCatalog.xml @@ -199,11 +199,11 @@ Microsoft.ML.Transforms.NormalizingEstimator - - - - - + + + + + The transform catalog @@ -276,12 +276,12 @@ Microsoft.ML.Transforms.NormalizingEstimator - - - - - - + + + + + + The transform catalog @@ -522,12 +522,12 @@ Microsoft.ML.Transforms.NormalizingEstimator - - - - - - + + + + + + The transform catalog @@ -566,13 +566,13 @@ Microsoft.ML.Transforms.NormalizingEstimator - - - - - - - + + + + + + + The transform catalog diff --git a/dotnet/xml/Microsoft.ML/OnnxCatalog.xml b/dotnet/xml/Microsoft.ML/OnnxCatalog.xml index be42779dd..bdf910fee 100644 --- a/dotnet/xml/Microsoft.ML/OnnxCatalog.xml +++ b/dotnet/xml/Microsoft.ML/OnnxCatalog.xml @@ -32,8 +32,8 @@ Microsoft.ML.Transforms.Onnx.OnnxScoringEstimator - - + + The transform's catalog. @@ -49,6 +49,50 @@ + + + + + + + Method + + Microsoft.ML.OnnxTransformer + 1.0.0.0 + + + Microsoft.ML.Transforms.Onnx.OnnxScoringEstimator + + + + + + + + + The transform's catalog. + The containing the model bytes. + Optional GPU device ID to run execution on, to run on CPU. + If GPU error, raise exception or fallback to CPU. + + Create a , which applies a pre-trained Onnx model to the input column. + Input/output columns are determined based on the input/output columns of the provided ONNX model. + Please refer to to learn more about the necessary dependencies, + and how to run it on a GPU. + + To be added. + + The name/type of input columns must exactly match name/type of the ONNX model inputs. + The name/type of the produced output columns will match name/type of the ONNX model outputs. + If the gpuDeviceId value is the value will be used if it is not . + + + + + + @@ -93,6 +137,55 @@ + + + + + + + Method + + Microsoft.ML.OnnxTransformer + 1.0.0.0 + + + Microsoft.ML.Transforms.Onnx.OnnxScoringEstimator + + + + + + + + + + The transform's catalog. + The containing the model bytes. + ONNX shapes to be used over those loaded from . + For keys use names as stated in the ONNX model, e.g. "input". Stating the shapes with this parameter + is particularly useful for working with variable dimension inputs and outputs. + + Optional GPU device ID to run execution on, to run on CPU. + If GPU error, raise exception or fallback to CPU. + + Create a , which applies a pre-trained Onnx model to the input column. + Input/output columns are determined based on the input/output columns of the provided ONNX model. + Please refer to to learn more about the necessary dependencies, + and how to run it on a GPU. + + To be added. + + The name/type of input columns must exactly match name/type of the ONNX model inputs. + The name/type of the produced output columns will match name/type of the ONNX model outputs. + If the gpuDeviceId value is the value will be used if it is not . + + + + + + @@ -108,11 +201,11 @@ Microsoft.ML.Transforms.Onnx.OnnxScoringEstimator - - - - - + + + + + The transform's catalog. @@ -142,6 +235,51 @@ + + + + + + + Method + + Microsoft.ML.OnnxTransformer + 1.0.0.0 + + + Microsoft.ML.Transforms.Onnx.OnnxScoringEstimator + + + + + + + + + + + The transform's catalog. + The output column resulting from the transformation. + The input column. + The containing the model bytes. + Optional GPU device ID to run execution on, to run on CPU. + If GPU error, raise exception or fallback to CPU. + + Create a , which applies a pre-trained Onnx model to the column. + Please refer to to learn more about the necessary dependencies, + and how to run it on a GPU. + + To be added. + + If the gpuDeviceId value is the value will be used if it is not . + + + + + + @@ -187,6 +325,46 @@ + + + + + + + Method + + Microsoft.ML.OnnxTransformer + 1.0.0.0 + + + Microsoft.ML.Transforms.Onnx.OnnxScoringEstimator + + + + + + + + + + + The transform's catalog. + The output columns resulting from the transformation. + The input columns. + The containing the model bytes. + Optional GPU device ID to run execution on, to run on CPU. + If GPU error, raise exception or fallback to CPU. + + Create a , which applies a pre-trained Onnx model to the columns. + Please refer to to learn more about the necessary dependencies, + and how to run it on a GPU. + + To be added. + + If the gpuDeviceId value is the value will be used if it is not . + + + @@ -227,6 +405,56 @@ + + + + + + + Method + + Microsoft.ML.OnnxTransformer + 1.0.0.0 + + + Microsoft.ML.Transforms.Onnx.OnnxScoringEstimator + + + + + + + + + + + + The transform's catalog. + The output column resulting from the transformation. + The input column. + The containing the model bytes. + ONNX shapes to be used over those loaded from . + For keys use names as stated in the ONNX model, e.g. "input". Stating the shapes with this parameter + is particularly useful for working with variable dimension inputs and outputs. + + Optional GPU device ID to run execution on, to run on CPU. + If GPU error, raise exception or fallback to CPU. + + Create a , which applies a pre-trained Onnx model to the column. + Please refer to to learn more about the necessary dependencies, + and how to run it on a GPU. + + To be added. + + If the gpuDeviceId value is the value will be used if it is not . + + + + + + @@ -242,13 +470,13 @@ Microsoft.ML.Transforms.Onnx.OnnxScoringEstimator - - - - - - - + + + + + + + The transform's catalog. @@ -277,6 +505,51 @@ + + + + + + + Method + + Microsoft.ML.OnnxTransformer + 1.0.0.0 + + + Microsoft.ML.Transforms.Onnx.OnnxScoringEstimator + + + + + + + + + + + + The transform's catalog. + The output columns resulting from the transformation. + The input columns. + The containing the model bytes. + ONNX shapes to be used over those loaded from . + For keys use names as stated in the ONNX model, e.g. "input". Stating the shapes with this parameter + is particularly useful for working with variable dimension inputs and outputs. + + Optional GPU device ID to run execution on, to run on CPU. + If GPU error, raise exception or fallback to CPU. + + Create a , which applies a pre-trained Onnx model to the columns. + Please refer to to learn more about the necessary dependencies, + and how to run it on a GPU. + + To be added. + + If the gpuDeviceId value is the value will be used if it is not . + + + @@ -292,13 +565,13 @@ Microsoft.ML.Transforms.Onnx.OnnxScoringEstimator - - - - - - - + + + + + + + The transform's catalog. @@ -322,6 +595,53 @@ + + + + + + + Method + + Microsoft.ML.OnnxTransformer + 1.0.0.0 + + + Microsoft.ML.Transforms.Onnx.OnnxScoringEstimator + + + + + + + + + + + + + The transform's catalog. + The output columns resulting from the transformation. + The input columns. + The containing the model bytes. + ONNX shapes to be used over those loaded from . + For keys use names as stated in the ONNX model, e.g. "input". Stating the shapes with this parameter + is particularly useful for working with variable dimension inputs and outputs. + + Optional GPU device ID to run execution on, to run on CPU. + If GPU error, raise exception or fallback to CPU. + Optional, specifies the Protobuf CodedInputStream recursion limit. Default value is 100. + + Create a , which applies a pre-trained Onnx model to the columns. + Please refer to to learn more about the necessary dependencies, + and how to run it on a GPU. + + To be added. + + If the gpuDeviceId value is the value will be used if it is not . + + + @@ -337,14 +657,14 @@ Microsoft.ML.Transforms.Onnx.OnnxScoringEstimator - - - - - - - - + + + + + + + + The transform's catalog. diff --git a/dotnet/xml/Microsoft.ML/PermutationFeatureImportanceExtensions.xml b/dotnet/xml/Microsoft.ML/PermutationFeatureImportanceExtensions.xml index 27afa2957..33eadcc37 100644 --- a/dotnet/xml/Microsoft.ML/PermutationFeatureImportanceExtensions.xml +++ b/dotnet/xml/Microsoft.ML/PermutationFeatureImportanceExtensions.xml @@ -36,13 +36,13 @@ System.Collections.Immutable.ImmutableDictionary<System.String,Microsoft.ML.Data.MulticlassClassificationMetricsStatistics> - - - - - - - + + + + + + + The multiclass classification catalog. @@ -100,13 +100,13 @@ System.Collections.Immutable.ImmutableDictionary<System.String,Microsoft.ML.Data.RegressionMetricsStatistics> - - - - - - - + + + + + + + The regression catalog. @@ -164,14 +164,14 @@ System.Collections.Immutable.ImmutableDictionary<System.String,Microsoft.ML.Data.RankingMetricsStatistics> - - - - - - - - + + + + + + + + The ranking catalog. @@ -520,13 +520,13 @@ System.Collections.Immutable.ImmutableDictionary<System.String,Microsoft.ML.Data.BinaryClassificationMetricsStatistics> - - - - - - - + + + + + + + The binary classification catalog. diff --git a/dotnet/xml/Microsoft.ML/RankingCatalog.xml b/dotnet/xml/Microsoft.ML/RankingCatalog.xml index d6547f719..3662d45e1 100644 --- a/dotnet/xml/Microsoft.ML/RankingCatalog.xml +++ b/dotnet/xml/Microsoft.ML/RankingCatalog.xml @@ -35,12 +35,12 @@ System.Collections.Generic.IReadOnlyList<Microsoft.ML.TrainCatalogBase+CrossValidationResult<Microsoft.ML.Data.RankingMetrics>> - - - - - - + + + + + + The data to run cross-validation on. @@ -108,11 +108,11 @@ Microsoft.ML.Data.RankingMetrics - - - - - + + + + + The scored data. diff --git a/dotnet/xml/Microsoft.ML/StandardTrainersCatalog.xml b/dotnet/xml/Microsoft.ML/StandardTrainersCatalog.xml index c0b816e95..e8c00da8b 100644 --- a/dotnet/xml/Microsoft.ML/StandardTrainersCatalog.xml +++ b/dotnet/xml/Microsoft.ML/StandardTrainersCatalog.xml @@ -56,10 +56,10 @@ - + - + @@ -168,11 +168,11 @@ The name of the label column. The column data must be . The name of the feature column. The column data must be a known-sized vector of . The name of the example weight column (optional). - Enforce non-negative weights. The L1 regularization hyperparameter. Higher values will tend to lead to more sparse model. The L2 weight for regularization. - Memory size for . Low=faster, less accurate. Threshold for optimizer convergence. + Memory size for . Low=faster, less accurate. + Enforce non-negative weights. Create , which predicts a target using a linear binary classification model trained over boolean label data. @@ -248,11 +248,11 @@ The name of the label column. The column data must be . The name of the feature column. The column data must be a known-sized vector of . The name of the example weight column (optional). - Enforce non-negative weights. The L1 regularization hyperparameter. Higher values will tend to lead to more sparse model. The L2 weight for regularization. - Memory size for . Low=faster, less accurate. Threshold for optimizer convergence. + Memory size for . Low=faster, less accurate. + Enforce non-negative weights. Create , which predicts a target using a maximum entropy classification model trained with the L-BFGS method. @@ -360,8 +360,8 @@ Microsoft.ML.Trainers.LdSvmTrainer - - + + The . @@ -393,14 +393,14 @@ Microsoft.ML.Trainers.LdSvmTrainer - - - - - - - - + + + + + + + + The . @@ -567,9 +567,9 @@ The type of the model. This type parameter will usually be inferred automatically from . The multiclass classification catalog trainer object. An instance of a binary used as the base trainer. - The calibrator. If a calibrator is not explicitly provided, it will default to The name of the label column. Whether to treat missing labels as having negative labels, instead of keeping them missing. + The calibrator. If a calibrator is not explicitly provided, it will default to Number of instances to train the calibrator. Use probabilities (vs. raw outputs) to identify top-score category. @@ -702,9 +702,9 @@ The type of the model. This type parameter will usually be inferred automatically from . The multiclass classification catalog trainer object. An instance of a binary used as the base trainer. - The calibrator. If a calibrator is not explicitly provided, it will default to The name of the label column. Whether to treat missing labels as having negative labels, instead of keeping them missing. + The calibrator. If a calibrator is not explicitly provided, it will default to Number of instances to train the calibrator. Create a , which predicts a multiclass target using pairwise coupling strategy with diff --git a/dotnet/xml/Microsoft.ML/TensorflowCatalog.xml b/dotnet/xml/Microsoft.ML/TensorflowCatalog.xml index 2be7569b4..bf83a3188 100644 --- a/dotnet/xml/Microsoft.ML/TensorflowCatalog.xml +++ b/dotnet/xml/Microsoft.ML/TensorflowCatalog.xml @@ -123,9 +123,9 @@ Microsoft.ML.Transforms.TensorFlowModel - - - + + + The transform's catalog. diff --git a/dotnet/xml/Microsoft.ML/TextCatalog.xml b/dotnet/xml/Microsoft.ML/TextCatalog.xml index 3bc345576..8d904662b 100644 --- a/dotnet/xml/Microsoft.ML/TextCatalog.xml +++ b/dotnet/xml/Microsoft.ML/TextCatalog.xml @@ -82,9 +82,9 @@ The text-related transform's catalog. - The path of the pre-trained embeddings model to use. Name of the column resulting from the transformation of . This column's data type will be a vector of . + The path of the pre-trained embeddings model to use. Name of the column to transform. If set to , the value of the will be used as source. This estimator operates over known-size vector of text data type. @@ -581,23 +581,23 @@ Microsoft.ML.Transforms.Text.WordBagEstimator - - - - - - + + + + + + - To be added. - To be added. - To be added. The transform's catalog. Name of the column resulting from the transformation of . This column's data type will be known-size vector of . + To be added. + To be added. Name of the column to take the data from. Maximum number of n-grams to store in the dictionary.Separator used to separate terms/frequency pairs.Separator used to separate terms from their frequency. This estimator operates over vector of text. + To be added. Create a , which maps the column specified in to a vector of n-gram counts in a new column named . diff --git a/dotnet/xml/Microsoft.ML/TextLoaderSaverCatalog.xml b/dotnet/xml/Microsoft.ML/TextLoaderSaverCatalog.xml index 2134f1dd1..6248eee6a 100644 --- a/dotnet/xml/Microsoft.ML/TextLoaderSaverCatalog.xml +++ b/dotnet/xml/Microsoft.ML/TextLoaderSaverCatalog.xml @@ -132,9 +132,9 @@ - - - + + + To be added. @@ -311,9 +311,9 @@ - - - + + + To be added. diff --git a/dotnet/xml/Microsoft.ML/TimeSeriesCatalog.xml b/dotnet/xml/Microsoft.ML/TimeSeriesCatalog.xml index 9b2d4f948..ae9d0d960 100644 --- a/dotnet/xml/Microsoft.ML/TimeSeriesCatalog.xml +++ b/dotnet/xml/Microsoft.ML/TimeSeriesCatalog.xml @@ -18,11 +18,11 @@ - - + + - - + + @@ -42,13 +42,12 @@ - + - The size of sliding window to generate a saliency map for the series. No more than , usually keep default value. The transform's catalog. Name of the column resulting from the transformation of . The column data is a vector of . The vector contains 3 elements: alert (1 means anomaly while 0 means normal), raw score, and magnitude of spectual residual. @@ -57,6 +56,7 @@ The number of points to add back of training window. No more than , usually keep default value. The number of pervious points used in prediction. No more than , usually keep default value. The size of sliding window to generate a saliency map for the series. No more than , usually keep default value. + The size of sliding window to generate a saliency map for the series. No more than , usually keep default value. The size of sliding window to calculate the anomaly score for each data point. No more than . The threshold to determine anomaly, score larger than the threshold is considered as anomaly. Should be in (0,1) @@ -86,16 +86,16 @@ Microsoft.ML.Transforms.TimeSeries.SsaChangePointEstimator - - - - - - - - - - + + + + + + + + + + The transform's catalog. @@ -104,8 +104,8 @@ Name of column to transform. The column data must be . If set to , the value of the will be used as source. The confidence for change point detection in the range [0, 100]. - The number of points from the beginning of the sequence used for training. The size of the sliding window for computing the p-value. + The number of points from the beginning of the sequence used for training. An upper bound on the largest relevant seasonality in the input time-series. The function used to compute the error between the expected and the observed value. The martingale used for scoring. @@ -135,7 +135,7 @@ 1.0.0.0 - + [System.Obsolete("This API method is deprecated, please use the overload with confidence parameter of type double.")] [<System.Obsolete("This API method is deprecated, please use the overload with confidence parameter of type double.")>] @@ -162,8 +162,8 @@ Name of column to transform. The column data must be . If set to , the value of the will be used as source. The confidence for change point detection in the range [0, 100]. - The number of points from the beginning of the sequence used for training. The size of the sliding window for computing the p-value. + The number of points from the beginning of the sequence used for training. An upper bound on the largest relevant seasonality in the input time-series. The function used to compute the error between the expected and the observed value. The martingale used for scoring. @@ -196,11 +196,11 @@ Microsoft.ML.IDataView - - - - - + + + + + The AnomalyDetectionCatalog. @@ -236,14 +236,14 @@ Microsoft.ML.IDataView - - - - - - - - + + + + + + + + The AnomalyDetectionCatalog. @@ -289,13 +289,13 @@ Microsoft.ML.Transforms.TimeSeries.IidChangePointEstimator - - - - - - - + + + + + + + The transform's catalog. @@ -332,7 +332,7 @@ 1.0.0.0 - + [System.Obsolete("This API method is deprecated, please use the overload with confidence parameter of type double.")] [<System.Obsolete("This API method is deprecated, please use the overload with confidence parameter of type double.")>] @@ -387,12 +387,12 @@ Microsoft.ML.Transforms.TimeSeries.IidSpikeEstimator - - - - - - + + + + + + The transform's catalog. @@ -429,7 +429,7 @@ 1.0.0.0 - + [System.Obsolete("This API method is deprecated, please use the overload with confidence parameter of type double.")] [<System.Obsolete("This API method is deprecated, please use the overload with confidence parameter of type double.")>] @@ -483,11 +483,11 @@ System.Int32 - - - - - + + + + + The detect seasonality catalog. @@ -540,15 +540,15 @@ Microsoft.ML.Transforms.TimeSeries.SsaSpikeEstimator - - - - - - - - - + + + + + + + + + The transform's catalog. @@ -587,7 +587,7 @@ 1.0.0.0 - + [System.Obsolete("This API method is deprecated, please use the overload with confidence parameter of type double.")] [<System.Obsolete("This API method is deprecated, please use the overload with confidence parameter of type double.")>] @@ -717,10 +717,10 @@ Microsoft.ML.TimeSeries.RootCause - - - - + + + + The anomaly detection catalog. @@ -758,10 +758,10 @@ System.Collections.Generic.List<Microsoft.ML.TimeSeries.RootCause> - - - - + + + + The anomaly detection catalog. diff --git a/dotnet/xml/Microsoft.ML/TreeExtensions.xml b/dotnet/xml/Microsoft.ML/TreeExtensions.xml index 44b02342c..51283ccd0 100644 --- a/dotnet/xml/Microsoft.ML/TreeExtensions.xml +++ b/dotnet/xml/Microsoft.ML/TreeExtensions.xml @@ -115,8 +115,8 @@ The name of the label column. The column data must be . The name of the feature column. The column data must be a known-sized vector of . The name of the example weight column (optional). - Total number of decision trees to create in the ensemble. The maximum number of leaves per decision tree. + Total number of decision trees to create in the ensemble. The minimal number of data points required to form a new tree leaf. Create , which predicts a target using a decision tree regression model. @@ -301,8 +301,8 @@ The name of the label column. The column data must be . The name of the feature column. The column data must be a known-sized vector of . The name of the example weight column (optional). - Total number of decision trees to create in the ensemble. The maximum number of leaves per decision tree. + Total number of decision trees to create in the ensemble. The minimal number of data points required to form a new tree leaf. The learning rate. @@ -346,8 +346,8 @@ The name of the label column. The column data must be . The name of the feature column. The column data must be a known-sized vector of . The name of the example weight column (optional). - Total number of decision trees to create in the ensemble. The maximum number of leaves per decision tree. + Total number of decision trees to create in the ensemble. The minimal number of data points required to form a new tree leaf. The learning rate. @@ -393,8 +393,8 @@ The name of the feature column. The column data must be a known-sized vector of . The name of the group column. The name of the example weight column (optional). - Total number of decision trees to create in the ensemble. The maximum number of leaves per decision tree. + Total number of decision trees to create in the ensemble. The minimal number of data points required to form a new tree leaf. The learning rate. @@ -471,8 +471,8 @@ The name of the label column. The column data must be . The name of the feature column. The column data must be a known-sized vector of . The name of the example weight column (optional). - Total number of decision trees to create in the ensemble. The maximum number of leaves per decision tree. + Total number of decision trees to create in the ensemble. The minimal number of data points required to form a new tree leaf. The learning rate. @@ -502,8 +502,8 @@ Microsoft.ML.Trainers.FastTree.FastForestBinaryFeaturizationEstimator - - + + The context to create . @@ -536,8 +536,8 @@ Microsoft.ML.Trainers.FastTree.FastForestRegressionFeaturizationEstimator - - + + The context to create . @@ -570,8 +570,8 @@ Microsoft.ML.Trainers.FastTree.FastTreeBinaryFeaturizationEstimator - - + + The context to create . @@ -604,8 +604,8 @@ Microsoft.ML.Trainers.FastTree.FastTreeRankingFeaturizationEstimator - - + + The context to create . @@ -638,8 +638,8 @@ Microsoft.ML.Trainers.FastTree.FastTreeRegressionFeaturizationEstimator - - + + The context to create . @@ -672,8 +672,8 @@ Microsoft.ML.Trainers.FastTree.FastTreeTweedieFeaturizationEstimator - - + + The context to create . @@ -706,8 +706,8 @@ Microsoft.ML.Trainers.FastTree.PretrainedTreeFeaturizationEstimator - - + + The context to create . diff --git a/dotnet/xml/PackageInformation/ml-dotnet-1.7.0.json b/dotnet/xml/PackageInformation/ml-dotnet-1.7.0.json index acb2cc4d4..0272dcdce 100644 --- a/dotnet/xml/PackageInformation/ml-dotnet-1.7.0.json +++ b/dotnet/xml/PackageInformation/ml-dotnet-1.7.0.json @@ -1 +1 @@ -{"ml-dotnet-1.7.0":{"Microsoft.ML.Core":{"Name":"Microsoft.ML","Version":"1.7.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Data":{"Name":"Microsoft.ML","Version":"1.7.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML":{"Name":"Microsoft.ML","Version":"1.7.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.KMeansClustering":{"Name":"Microsoft.ML","Version":"1.7.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.PCA":{"Name":"Microsoft.ML","Version":"1.7.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.StandardTrainers":{"Name":"Microsoft.ML","Version":"1.7.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Transforms":{"Name":"Microsoft.ML","Version":"1.7.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.CpuMath":{"Name":"Microsoft.ML.CpuMath","Version":"1.7.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.DataView":{"Name":"Microsoft.ML.DataView","Version":"1.7.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.Extensions.ML":{"Name":"Microsoft.Extensions.ML","Version":"1.7.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.FastTree":{"Name":"Microsoft.ML.FastTree","Version":"1.7.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.ImageAnalytics":{"Name":"Microsoft.ML.ImageAnalytics","Version":"1.7.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.LightGbm":{"Name":"Microsoft.ML.LightGbm","Version":"1.7.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Mkl.Components":{"Name":"Microsoft.ML.Mkl.Components","Version":"1.7.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.OnnxTransformer":{"Name":"Microsoft.ML.OnnxTransformer","Version":"1.7.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.TensorFlow":{"Name":"Microsoft.ML.TensorFlow","Version":"1.7.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.TimeSeries":{"Name":"Microsoft.ML.TimeSeries","Version":"1.7.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Vision":{"Name":"Microsoft.ML.Vision","Version":"1.7.0","Feed":"https://api.nuget.org/v3/index.json"}}} \ No newline at end of file +{"ml-dotnet-1.7.0":{"Microsoft.ML.Core":{"Name":"Microsoft.ML","Version":"1.7.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Data":{"Name":"Microsoft.ML","Version":"1.7.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML":{"Name":"Microsoft.ML","Version":"1.7.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.KMeansClustering":{"Name":"Microsoft.ML","Version":"1.7.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.PCA":{"Name":"Microsoft.ML","Version":"1.7.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.StandardTrainers":{"Name":"Microsoft.ML","Version":"1.7.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Transforms":{"Name":"Microsoft.ML","Version":"1.7.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.CpuMath":{"Name":"Microsoft.ML.CpuMath","Version":"1.7.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.DataView":{"Name":"Microsoft.ML.DataView","Version":"1.7.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.Extensions.ML":{"Name":"Microsoft.Extensions.ML","Version":"1.7.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.FastTree":{"Name":"Microsoft.ML.FastTree","Version":"1.7.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.ImageAnalytics":{"Name":"Microsoft.ML.ImageAnalytics","Version":"1.7.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.LightGbm":{"Name":"Microsoft.ML.LightGbm","Version":"1.7.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Mkl.Components":{"Name":"Microsoft.ML.Mkl.Components","Version":"1.7.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.OnnxTransformer":{"Name":"Microsoft.ML.OnnxTransformer","Version":"1.7.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.TensorFlow":{"Name":"Microsoft.ML.TensorFlow","Version":"1.7.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.TimeSeries":{"Name":"Microsoft.ML.TimeSeries","Version":"1.7.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Vision":{"Name":"Microsoft.ML.Vision","Version":"1.7.0","Feed":"https://api.nuget.org/v3/index.json"}}} \ No newline at end of file diff --git a/dotnet/xml/PackageInformation/ml-dotnet-3.0.0.json b/dotnet/xml/PackageInformation/ml-dotnet-3.0.0.json new file mode 100644 index 000000000..a199f32e5 --- /dev/null +++ b/dotnet/xml/PackageInformation/ml-dotnet-3.0.0.json @@ -0,0 +1 @@ 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\ No newline at end of file diff --git a/dotnet/xml/PackageInformation/ml-dotnet-preview.json b/dotnet/xml/PackageInformation/ml-dotnet-preview.json index 08e263746..7c17fc135 100644 --- a/dotnet/xml/PackageInformation/ml-dotnet-preview.json +++ b/dotnet/xml/PackageInformation/ml-dotnet-preview.json @@ -1 +1 @@ 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.../TypeConvertingEstimator.xml | 2 +- .../ValueToKeyMappingEstimator.xml | 2 +- dotnet/xml/PackageInformation/ml-dotnet.json | 2 +- .../ml-dotnet/Microsoft.ML.Tokenizers.json | 576 +++++++++--------- 51 files changed, 338 insertions(+), 338 deletions(-) diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestBinaryTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestBinaryTrainer.xml index a985a615c..f8323eb1b 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestBinaryTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestBinaryTrainer.xml @@ -40,9 +40,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-fastforest.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestRegressionTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestRegressionTrainer.xml index 4452bafaf..dd66a1e90 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestRegressionTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestRegressionTrainer.xml @@ -40,9 +40,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-fastforest.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeBinaryTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeBinaryTrainer.xml index dc480f636..252d7f279 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeBinaryTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeBinaryTrainer.xml @@ -40,9 +40,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-fasttree.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRankingTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRankingTrainer.xml index 1ecf69043..d523f045f 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRankingTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRankingTrainer.xml @@ -40,9 +40,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-fasttree.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRegressionTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRegressionTrainer.xml index ba97f27cb..827209a76 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRegressionTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRegressionTrainer.xml @@ -40,9 +40,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-fasttree.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeTweedieTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeTweedieTrainer.xml index e9b6de079..222a118ee 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeTweedieTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeTweedieTrainer.xml @@ -48,9 +48,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamBinaryTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamBinaryTrainer.xml index ac6820f17..80e087835 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamBinaryTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamBinaryTrainer.xml @@ -40,9 +40,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-gam.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamRegressionTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamRegressionTrainer.xml index 94b23fe95..b2ec64183 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamRegressionTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamRegressionTrainer.xml @@ -40,9 +40,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-gam.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmBinaryTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmBinaryTrainer.xml index 1e395805e..aa610a8bc 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmBinaryTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmBinaryTrainer.xml @@ -41,8 +41,8 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-lightgbm.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmMulticlassTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmMulticlassTrainer.xml index 112e22049..45c4c9228 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmMulticlassTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmMulticlassTrainer.xml @@ -41,9 +41,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-lightgbm.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRankingTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRankingTrainer.xml index c75484a8e..84298efc1 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRankingTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRankingTrainer.xml @@ -41,9 +41,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-lightgbm.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRegressionTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRegressionTrainer.xml index b1b1f8be4..fb3a1d82d 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRegressionTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRegressionTrainer.xml @@ -41,9 +41,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-lightgbm.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/AveragedPerceptronTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/AveragedPerceptronTrainer.xml index e335e87b0..2b4d20170 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/AveragedPerceptronTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/AveragedPerceptronTrainer.xml @@ -58,9 +58,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/FieldAwareFactorizationMachineTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/FieldAwareFactorizationMachineTrainer.xml index e618ff2aa..e5d112038 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/FieldAwareFactorizationMachineTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/FieldAwareFactorizationMachineTrainer.xml @@ -72,10 +72,10 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/LbfgsLogisticRegressionBinaryTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/LbfgsLogisticRegressionBinaryTrainer.xml index 6750230e4..2e94b4ec5 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/LbfgsLogisticRegressionBinaryTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/LbfgsLogisticRegressionBinaryTrainer.xml @@ -66,9 +66,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/LbfgsMaximumEntropyMulticlassTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/LbfgsMaximumEntropyMulticlassTrainer.xml index 9636ee96c..135253a16 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/LbfgsMaximumEntropyMulticlassTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/LbfgsMaximumEntropyMulticlassTrainer.xml @@ -61,9 +61,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/LbfgsPoissonRegressionTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/LbfgsPoissonRegressionTrainer.xml index 63fad6047..e9c2a26a8 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/LbfgsPoissonRegressionTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/LbfgsPoissonRegressionTrainer.xml @@ -45,9 +45,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/LdSvmTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/LdSvmTrainer.xml index ad398a5bd..3d7e005f6 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/LdSvmTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/LdSvmTrainer.xml @@ -51,8 +51,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/LinearSvmTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/LinearSvmTrainer.xml index 9181b901d..548ad158c 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/LinearSvmTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/LinearSvmTrainer.xml @@ -50,8 +50,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/MatrixFactorizationTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/MatrixFactorizationTrainer.xml index 9f84844c2..2e6453490 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/MatrixFactorizationTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/MatrixFactorizationTrainer.xml @@ -107,9 +107,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/OlsTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/OlsTrainer.xml index 3b05e91ee..b30ba1943 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/OlsTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/OlsTrainer.xml @@ -45,9 +45,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/OnlineGradientDescentTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/OnlineGradientDescentTrainer.xml index 32f49fe30..50b7d3b22 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/OnlineGradientDescentTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/OnlineGradientDescentTrainer.xml @@ -45,9 +45,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/RandomizedPcaTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/RandomizedPcaTrainer.xml index 55c4d1d00..9b36374d6 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/RandomizedPcaTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/RandomizedPcaTrainer.xml @@ -60,9 +60,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SdcaLogisticRegressionBinaryTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/SdcaLogisticRegressionBinaryTrainer.xml index 1332754d2..8bbcc16a4 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SdcaLogisticRegressionBinaryTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SdcaLogisticRegressionBinaryTrainer.xml @@ -44,9 +44,9 @@ [!include[references](~/../docs/samples/docs/api-reference/algo-details-sdca-refs.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SdcaMaximumEntropyMulticlassTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/SdcaMaximumEntropyMulticlassTrainer.xml index e9fa09377..1bd0ecf35 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SdcaMaximumEntropyMulticlassTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SdcaMaximumEntropyMulticlassTrainer.xml @@ -49,9 +49,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SdcaMulticlassTrainerBase`1.xml b/dotnet/xml/Microsoft.ML.Trainers/SdcaMulticlassTrainerBase`1.xml index 023e55568..1e17eddc6 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SdcaMulticlassTrainerBase`1.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SdcaMulticlassTrainerBase`1.xml @@ -72,12 +72,12 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedBinaryTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedBinaryTrainer.xml index a734fde4b..242cf8581 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedBinaryTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedBinaryTrainer.xml @@ -42,9 +42,9 @@ [!include[references](~/../docs/samples/docs/api-reference/algo-details-sdca-refs.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedMulticlassTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedMulticlassTrainer.xml index 1bac4efbe..6d61d27af 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedMulticlassTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedMulticlassTrainer.xml @@ -49,9 +49,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SdcaRegressionTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/SdcaRegressionTrainer.xml index 2baa269fd..c6621cbfb 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SdcaRegressionTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SdcaRegressionTrainer.xml @@ -44,9 +44,9 @@ [!include[references](~/../docs/samples/docs/api-reference/algo-details-sdca-refs.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SgdCalibratedTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/SgdCalibratedTrainer.xml index 2612f2d59..1aabf54c9 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SgdCalibratedTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SgdCalibratedTrainer.xml @@ -40,9 +40,9 @@ [!include[io](~/../docs/samples/docs/api-reference/algo-details-sgd.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SgdNonCalibratedTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/SgdNonCalibratedTrainer.xml index 8738de803..c31b2f36e 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SgdNonCalibratedTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SgdNonCalibratedTrainer.xml @@ -38,9 +38,9 @@ [!include[io](~/../docs/samples/docs/api-reference/algo-details-sgd.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SymbolicSgdLogisticRegressionBinaryTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/SymbolicSgdLogisticRegressionBinaryTrainer.xml index 124727e43..b36b5dd88 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SymbolicSgdLogisticRegressionBinaryTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SymbolicSgdLogisticRegressionBinaryTrainer.xml @@ -51,9 +51,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms.Text/TextFeaturizingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms.Text/TextFeaturizingEstimator.xml index 540a3fb1c..7b4069a55 100644 --- a/dotnet/xml/Microsoft.ML.Transforms.Text/TextFeaturizingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms.Text/TextFeaturizingEstimator.xml @@ -48,8 +48,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms.Text/WordBagEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms.Text/WordBagEstimator.xml index 55f823165..08d67c0f8 100644 --- a/dotnet/xml/Microsoft.ML.Transforms.Text/WordBagEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms.Text/WordBagEstimator.xml @@ -40,8 +40,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms.Text/WordEmbeddingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms.Text/WordEmbeddingEstimator.xml index 8cedabcc4..b32dbb323 100644 --- a/dotnet/xml/Microsoft.ML.Transforms.Text/WordEmbeddingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms.Text/WordEmbeddingEstimator.xml @@ -48,8 +48,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms.Text/WordHashBagEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms.Text/WordHashBagEstimator.xml index 3fce04c9c..9d06e6361 100644 --- a/dotnet/xml/Microsoft.ML.Transforms.Text/WordHashBagEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms.Text/WordHashBagEstimator.xml @@ -40,8 +40,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/ColumnSelectingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/ColumnSelectingEstimator.xml index 1e794ee43..e96e57c5d 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/ColumnSelectingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/ColumnSelectingEstimator.xml @@ -41,9 +41,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/CountFeatureSelectingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/CountFeatureSelectingEstimator.xml index d7ea211df..b9817eae0 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/CountFeatureSelectingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/CountFeatureSelectingEstimator.xml @@ -61,8 +61,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/FeatureContributionCalculatingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/FeatureContributionCalculatingEstimator.xml index b8db167e0..4f363d703 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/FeatureContributionCalculatingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/FeatureContributionCalculatingEstimator.xml @@ -79,8 +79,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/HashingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/HashingEstimator.xml index aa1d9ffbb..22ae91682 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/HashingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/HashingEstimator.xml @@ -35,8 +35,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/KeyToValueMappingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/KeyToValueMappingEstimator.xml index 7976a6572..b08810c07 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/KeyToValueMappingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/KeyToValueMappingEstimator.xml @@ -33,8 +33,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/KeyToVectorMappingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/KeyToVectorMappingEstimator.xml index 412c64df3..6189add8a 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/KeyToVectorMappingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/KeyToVectorMappingEstimator.xml @@ -36,8 +36,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/MissingValueIndicatorEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/MissingValueIndicatorEstimator.xml index 247325059..1479e1470 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/MissingValueIndicatorEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/MissingValueIndicatorEstimator.xml @@ -35,8 +35,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/MissingValueReplacingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/MissingValueReplacingEstimator.xml index 3b9f9d363..ac4e8f1ae 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/MissingValueReplacingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/MissingValueReplacingEstimator.xml @@ -37,8 +37,8 @@ Check the See Also section for links of usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/MutualInformationFeatureSelectingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/MutualInformationFeatureSelectingEstimator.xml index 18ce498f2..37bbd8465 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/MutualInformationFeatureSelectingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/MutualInformationFeatureSelectingEstimator.xml @@ -65,8 +65,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/OneHotEncodingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/OneHotEncodingEstimator.xml index 34a2092a2..8f1d878ab 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/OneHotEncodingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/OneHotEncodingEstimator.xml @@ -65,8 +65,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/OneHotHashEncodingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/OneHotHashEncodingEstimator.xml index a81eb32b7..7c254fc10 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/OneHotHashEncodingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/OneHotHashEncodingEstimator.xml @@ -64,8 +64,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/TypeConvertingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/TypeConvertingEstimator.xml index a11450241..73b1bef48 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/TypeConvertingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/TypeConvertingEstimator.xml @@ -34,8 +34,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/ValueToKeyMappingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/ValueToKeyMappingEstimator.xml index 4d144c382..67c2bb5e7 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/ValueToKeyMappingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/ValueToKeyMappingEstimator.xml @@ -48,8 +48,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/PackageInformation/ml-dotnet.json b/dotnet/xml/PackageInformation/ml-dotnet.json index e83505b33..da0acc5d1 100644 --- a/dotnet/xml/PackageInformation/ml-dotnet.json +++ b/dotnet/xml/PackageInformation/ml-dotnet.json @@ -1 +1 @@ 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.../xml/Microsoft.ML.Trainers/SdcaMulticlassTrainerBase`1.xml | 2 +- .../Microsoft.ML.Trainers/SdcaNonCalibratedBinaryTrainer.xml | 2 +- .../SdcaNonCalibratedMulticlassTrainer.xml | 2 +- dotnet/xml/Microsoft.ML.Trainers/SdcaRegressionTrainer.xml | 2 +- dotnet/xml/Microsoft.ML.Trainers/SgdCalibratedTrainer.xml | 2 +- dotnet/xml/Microsoft.ML.Trainers/SgdNonCalibratedTrainer.xml | 2 +- .../SymbolicSgdLogisticRegressionBinaryTrainer.xml | 2 +- .../Microsoft.ML.Transforms.Text/TextFeaturizingEstimator.xml | 2 +- dotnet/xml/Microsoft.ML.Transforms.Text/WordBagEstimator.xml | 2 +- .../xml/Microsoft.ML.Transforms.Text/WordEmbeddingEstimator.xml | 2 +- .../xml/Microsoft.ML.Transforms.Text/WordHashBagEstimator.xml | 2 +- dotnet/xml/Microsoft.ML.Transforms/ColumnSelectingEstimator.xml | 2 +- .../Microsoft.ML.Transforms/CountFeatureSelectingEstimator.xml | 2 +- .../FeatureContributionCalculatingEstimator.xml | 2 +- dotnet/xml/Microsoft.ML.Transforms/HashingEstimator.xml | 2 +- .../xml/Microsoft.ML.Transforms/KeyToValueMappingEstimator.xml | 2 +- .../xml/Microsoft.ML.Transforms/KeyToVectorMappingEstimator.xml | 2 +- .../Microsoft.ML.Transforms/MissingValueIndicatorEstimator.xml | 2 +- .../Microsoft.ML.Transforms/MissingValueReplacingEstimator.xml | 2 +- .../MutualInformationFeatureSelectingEstimator.xml | 2 +- dotnet/xml/Microsoft.ML.Transforms/OneHotEncodingEstimator.xml | 2 +- .../xml/Microsoft.ML.Transforms/OneHotHashEncodingEstimator.xml | 2 +- dotnet/xml/Microsoft.ML.Transforms/TypeConvertingEstimator.xml | 2 +- .../xml/Microsoft.ML.Transforms/ValueToKeyMappingEstimator.xml | 2 +- 49 files changed, 49 insertions(+), 49 deletions(-) diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestBinaryTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestBinaryTrainer.xml index f8323eb1b..625008d74 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestBinaryTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestBinaryTrainer.xml @@ -40,9 +40,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-fastforest.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestRegressionTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestRegressionTrainer.xml index dd66a1e90..dbee4d909 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestRegressionTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestRegressionTrainer.xml @@ -40,9 +40,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-fastforest.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeBinaryTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeBinaryTrainer.xml index 252d7f279..29fedb89e 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeBinaryTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeBinaryTrainer.xml @@ -40,9 +40,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-fasttree.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRankingTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRankingTrainer.xml index d523f045f..dd2d9564c 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRankingTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRankingTrainer.xml @@ -40,9 +40,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-fasttree.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRegressionTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRegressionTrainer.xml index 827209a76..20c4b0d97 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRegressionTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRegressionTrainer.xml @@ -40,9 +40,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-fasttree.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeTweedieTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeTweedieTrainer.xml index 222a118ee..5e4ccb7fa 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeTweedieTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeTweedieTrainer.xml @@ -48,9 +48,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamBinaryTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamBinaryTrainer.xml index 80e087835..16d24117e 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamBinaryTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamBinaryTrainer.xml @@ -40,9 +40,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-gam.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamRegressionTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamRegressionTrainer.xml index b2ec64183..961bfb007 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamRegressionTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamRegressionTrainer.xml @@ -40,9 +40,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-gam.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmBinaryTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmBinaryTrainer.xml index aa610a8bc..1e395805e 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmBinaryTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmBinaryTrainer.xml @@ -41,8 +41,8 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-lightgbm.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmMulticlassTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmMulticlassTrainer.xml index 45c4c9228..7ecf6ea2b 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmMulticlassTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmMulticlassTrainer.xml @@ -41,9 +41,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-lightgbm.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRankingTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRankingTrainer.xml index 84298efc1..b6d25114f 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRankingTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRankingTrainer.xml @@ -41,9 +41,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-lightgbm.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRegressionTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRegressionTrainer.xml index fb3a1d82d..3247ba90e 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRegressionTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRegressionTrainer.xml @@ -41,9 +41,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-lightgbm.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/AveragedPerceptronTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/AveragedPerceptronTrainer.xml index 2b4d20170..f993d7c05 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/AveragedPerceptronTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/AveragedPerceptronTrainer.xml @@ -58,9 +58,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/FieldAwareFactorizationMachineTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/FieldAwareFactorizationMachineTrainer.xml index e5d112038..8031db54c 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/FieldAwareFactorizationMachineTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/FieldAwareFactorizationMachineTrainer.xml @@ -72,10 +72,10 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/LbfgsLogisticRegressionBinaryTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/LbfgsLogisticRegressionBinaryTrainer.xml index 2e94b4ec5..663dc7186 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/LbfgsLogisticRegressionBinaryTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/LbfgsLogisticRegressionBinaryTrainer.xml @@ -66,9 +66,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/LbfgsMaximumEntropyMulticlassTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/LbfgsMaximumEntropyMulticlassTrainer.xml index 135253a16..7a633436a 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/LbfgsMaximumEntropyMulticlassTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/LbfgsMaximumEntropyMulticlassTrainer.xml @@ -61,9 +61,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/LbfgsPoissonRegressionTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/LbfgsPoissonRegressionTrainer.xml index e9c2a26a8..1667ef9f4 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/LbfgsPoissonRegressionTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/LbfgsPoissonRegressionTrainer.xml @@ -45,9 +45,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/LdSvmTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/LdSvmTrainer.xml index 3d7e005f6..ad398a5bd 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/LdSvmTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/LdSvmTrainer.xml @@ -51,8 +51,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/LinearSvmTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/LinearSvmTrainer.xml index 548ad158c..9181b901d 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/LinearSvmTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/LinearSvmTrainer.xml @@ -50,8 +50,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/MatrixFactorizationTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/MatrixFactorizationTrainer.xml index 2e6453490..5ef96189d 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/MatrixFactorizationTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/MatrixFactorizationTrainer.xml @@ -107,9 +107,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/OlsTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/OlsTrainer.xml index b30ba1943..864f4b598 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/OlsTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/OlsTrainer.xml @@ -45,9 +45,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/OnlineGradientDescentTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/OnlineGradientDescentTrainer.xml index 50b7d3b22..8a7d3f654 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/OnlineGradientDescentTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/OnlineGradientDescentTrainer.xml @@ -45,9 +45,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/RandomizedPcaTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/RandomizedPcaTrainer.xml index 9b36374d6..00aacf60b 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/RandomizedPcaTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/RandomizedPcaTrainer.xml @@ -60,9 +60,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SdcaLogisticRegressionBinaryTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/SdcaLogisticRegressionBinaryTrainer.xml index 8bbcc16a4..575376c5f 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SdcaLogisticRegressionBinaryTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SdcaLogisticRegressionBinaryTrainer.xml @@ -44,9 +44,9 @@ [!include[references](~/../docs/samples/docs/api-reference/algo-details-sdca-refs.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SdcaMaximumEntropyMulticlassTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/SdcaMaximumEntropyMulticlassTrainer.xml index 1bd0ecf35..09cce5fb4 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SdcaMaximumEntropyMulticlassTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SdcaMaximumEntropyMulticlassTrainer.xml @@ -49,9 +49,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SdcaMulticlassTrainerBase`1.xml b/dotnet/xml/Microsoft.ML.Trainers/SdcaMulticlassTrainerBase`1.xml index 1e17eddc6..eb32fa402 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SdcaMulticlassTrainerBase`1.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SdcaMulticlassTrainerBase`1.xml @@ -72,12 +72,12 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedBinaryTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedBinaryTrainer.xml index 242cf8581..ee81fc3ba 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedBinaryTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedBinaryTrainer.xml @@ -42,9 +42,9 @@ [!include[references](~/../docs/samples/docs/api-reference/algo-details-sdca-refs.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedMulticlassTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedMulticlassTrainer.xml index 6d61d27af..5ea6bcdd3 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedMulticlassTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedMulticlassTrainer.xml @@ -49,9 +49,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SdcaRegressionTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/SdcaRegressionTrainer.xml index c6621cbfb..ebef8cc02 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SdcaRegressionTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SdcaRegressionTrainer.xml @@ -44,9 +44,9 @@ [!include[references](~/../docs/samples/docs/api-reference/algo-details-sdca-refs.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SgdCalibratedTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/SgdCalibratedTrainer.xml index 1aabf54c9..359194997 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SgdCalibratedTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SgdCalibratedTrainer.xml @@ -40,9 +40,9 @@ [!include[io](~/../docs/samples/docs/api-reference/algo-details-sgd.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SgdNonCalibratedTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/SgdNonCalibratedTrainer.xml index c31b2f36e..09f0d24e5 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SgdNonCalibratedTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SgdNonCalibratedTrainer.xml @@ -38,9 +38,9 @@ [!include[io](~/../docs/samples/docs/api-reference/algo-details-sgd.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SymbolicSgdLogisticRegressionBinaryTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/SymbolicSgdLogisticRegressionBinaryTrainer.xml index b36b5dd88..f141c13fd 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SymbolicSgdLogisticRegressionBinaryTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SymbolicSgdLogisticRegressionBinaryTrainer.xml @@ -51,9 +51,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms.Text/TextFeaturizingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms.Text/TextFeaturizingEstimator.xml index 7b4069a55..540a3fb1c 100644 --- a/dotnet/xml/Microsoft.ML.Transforms.Text/TextFeaturizingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms.Text/TextFeaturizingEstimator.xml @@ -48,8 +48,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms.Text/WordBagEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms.Text/WordBagEstimator.xml index 08d67c0f8..55f823165 100644 --- a/dotnet/xml/Microsoft.ML.Transforms.Text/WordBagEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms.Text/WordBagEstimator.xml @@ -40,8 +40,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms.Text/WordEmbeddingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms.Text/WordEmbeddingEstimator.xml index b32dbb323..8cedabcc4 100644 --- a/dotnet/xml/Microsoft.ML.Transforms.Text/WordEmbeddingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms.Text/WordEmbeddingEstimator.xml @@ -48,8 +48,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms.Text/WordHashBagEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms.Text/WordHashBagEstimator.xml index 9d06e6361..3fce04c9c 100644 --- a/dotnet/xml/Microsoft.ML.Transforms.Text/WordHashBagEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms.Text/WordHashBagEstimator.xml @@ -40,8 +40,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/ColumnSelectingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/ColumnSelectingEstimator.xml index e96e57c5d..2e152dc64 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/ColumnSelectingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/ColumnSelectingEstimator.xml @@ -41,9 +41,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/CountFeatureSelectingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/CountFeatureSelectingEstimator.xml index b9817eae0..d7ea211df 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/CountFeatureSelectingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/CountFeatureSelectingEstimator.xml @@ -61,8 +61,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/FeatureContributionCalculatingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/FeatureContributionCalculatingEstimator.xml index 4f363d703..b8db167e0 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/FeatureContributionCalculatingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/FeatureContributionCalculatingEstimator.xml @@ -79,8 +79,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/HashingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/HashingEstimator.xml index 22ae91682..aa1d9ffbb 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/HashingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/HashingEstimator.xml @@ -35,8 +35,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/KeyToValueMappingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/KeyToValueMappingEstimator.xml index b08810c07..7976a6572 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/KeyToValueMappingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/KeyToValueMappingEstimator.xml @@ -33,8 +33,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/KeyToVectorMappingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/KeyToVectorMappingEstimator.xml index 6189add8a..412c64df3 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/KeyToVectorMappingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/KeyToVectorMappingEstimator.xml @@ -36,8 +36,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/MissingValueIndicatorEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/MissingValueIndicatorEstimator.xml index 1479e1470..247325059 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/MissingValueIndicatorEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/MissingValueIndicatorEstimator.xml @@ -35,8 +35,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/MissingValueReplacingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/MissingValueReplacingEstimator.xml index ac4e8f1ae..3b9f9d363 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/MissingValueReplacingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/MissingValueReplacingEstimator.xml @@ -37,8 +37,8 @@ Check the See Also section for links of usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/MutualInformationFeatureSelectingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/MutualInformationFeatureSelectingEstimator.xml index 37bbd8465..18ce498f2 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/MutualInformationFeatureSelectingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/MutualInformationFeatureSelectingEstimator.xml @@ -65,8 +65,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/OneHotEncodingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/OneHotEncodingEstimator.xml index 8f1d878ab..34a2092a2 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/OneHotEncodingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/OneHotEncodingEstimator.xml @@ -65,8 +65,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/OneHotHashEncodingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/OneHotHashEncodingEstimator.xml index 7c254fc10..a81eb32b7 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/OneHotHashEncodingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/OneHotHashEncodingEstimator.xml @@ -64,8 +64,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/TypeConvertingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/TypeConvertingEstimator.xml index 73b1bef48..a11450241 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/TypeConvertingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/TypeConvertingEstimator.xml @@ -34,8 +34,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/ValueToKeyMappingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/ValueToKeyMappingEstimator.xml index 67c2bb5e7..4d144c382 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/ValueToKeyMappingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/ValueToKeyMappingEstimator.xml @@ -48,8 +48,8 @@ Check the See Also section for links to usage examples. ]]> - + From eabda8cf00f2f33339c92fb6cd07cfbbb8e329cc Mon Sep 17 00:00:00 2001 From: "docsreference@microsoft.com" Date: Thu, 27 Feb 2025 21:11:50 +0000 Subject: [PATCH 11/12] CI Update Build.Reason:Manual by Alma Jenks (BEYONDSOFT CONSULTING INC) Build.Url:https://apidrop.visualstudio.com/Content%20CI/_build/results?buildId=505303&view=results source_repo.branch:master source_repo.csvPath:bundlepackages/ml-dotnet source_repo.url:https://apidrop.visualstudio.com/binaries/_git/mrefconfig --- .../xml/FrameworksIndex/ml-dotnet-preview.xml | 103 +- .../ArrowStringDataFrameColumn.xml | 16 +- .../DataFrameColumn.xml | 16 +- .../PrimitiveDataFrameColumn`1.xml | 16 +- .../StringDataFrameColumn.xml | 16 +- .../VBufferDataFrameColumn`1.xml | 16 +- .../xml/Microsoft.ML.AutoML/AutoCatalog.xml | 20 +- .../AutoMLExperimentExtension.xml | 12 +- .../Microsoft.ML.Data/DataViewTypeManager.xml | 4 +- .../SvmLightLoaderSaverCatalog.xml | 4 +- .../Microsoft.ML.Tokenizers/BertTokenizer.xml | 540 +- .../xml/Microsoft.ML.Tokenizers/BitVector.xml | 210 + .../Microsoft.ML.Tokenizers/BpeTokenizer.xml | 142 +- .../CodeGenTokenizer.xml | 298 +- .../Microsoft.ML.Tokenizers/DawgBuilder.xml | 332 + .../EnglishRobertaTokenizer.xml | 26 +- .../Microsoft.ML.Tokenizers/PreTokenizer.xml | 80 +- .../RegexPreTokenizer.xml | 18 +- .../RobertaPreTokenizer.xml | 2 +- .../SentencePieceNormalizer.xml | 4 +- .../SentencePieceTokenizer.xml | 355 +- .../TiktokenTokenizer.xml | 52 +- .../xml/Microsoft.ML.Tokenizers/Tokenizer.xml | 112 +- .../WordPieceTokenizer.xml | 194 +- .../FastForestBinaryTrainer.xml | 2 +- .../FastForestRegressionTrainer.xml | 2 +- .../FastTreeBinaryTrainer.xml | 2 +- .../FastTreeRankingTrainer.xml | 2 +- .../FastTreeRegressionTrainer.xml | 2 +- .../FastTreeTweedieTrainer.xml | 2 +- .../GamBinaryTrainer.xml | 2 +- .../GamRegressionTrainer.xml | 2 +- .../LightGbmBinaryTrainer.xml | 2 +- .../LightGbmMulticlassTrainer.xml | 2 +- .../LightGbmRankingTrainer.xml | 2 +- .../LightGbmRegressionTrainer.xml | 2 +- .../AveragedPerceptronTrainer.xml | 2 +- .../FieldAwareFactorizationMachineTrainer.xml | 2 +- .../LbfgsLogisticRegressionBinaryTrainer.xml | 2 +- .../LbfgsMaximumEntropyMulticlassTrainer.xml | 2 +- .../LbfgsPoissonRegressionTrainer.xml | 2 +- .../Microsoft.ML.Trainers/LdSvmTrainer.xml | 2 +- .../LinearSvmTrainer.xml | 2 +- .../MatrixFactorizationTrainer.xml | 2 +- .../xml/Microsoft.ML.Trainers/OlsTrainer.xml | 2 +- .../OnlineGradientDescentTrainer.xml | 2 +- .../RandomizedPcaTrainer.xml | 2 +- .../SdcaLogisticRegressionBinaryTrainer.xml | 2 +- .../SdcaMaximumEntropyMulticlassTrainer.xml | 2 +- .../SdcaMulticlassTrainerBase`1.xml | 2 +- .../SdcaNonCalibratedBinaryTrainer.xml | 2 +- .../SdcaNonCalibratedMulticlassTrainer.xml | 2 +- .../SdcaRegressionTrainer.xml | 2 +- .../SgdCalibratedTrainer.xml | 2 +- .../SgdNonCalibratedTrainer.xml | 2 +- ...olicSgdLogisticRegressionBinaryTrainer.xml | 2 +- .../TextFeaturizingEstimator.xml | 2 +- .../WordBagEstimator.xml | 2 +- .../WordEmbeddingEstimator.xml | 2 +- .../WordHashBagEstimator.xml | 2 +- .../ColumnSelectingEstimator.xml | 2 +- .../CountFeatureSelectingEstimator.xml | 2 +- ...eatureContributionCalculatingEstimator.xml | 2 +- .../HashingEstimator.xml | 2 +- .../KeyToValueMappingEstimator.xml | 2 +- .../KeyToVectorMappingEstimator.xml | 2 +- .../MissingValueIndicatorEstimator.xml | 2 +- .../MissingValueReplacingEstimator.xml | 2 +- ...alInformationFeatureSelectingEstimator.xml | 2 +- .../OneHotEncodingEstimator.xml | 2 +- .../OneHotHashEncodingEstimator.xml | 2 +- .../TensorFlowModel.xml | 4 +- .../TypeConvertingEstimator.xml | 2 +- .../ValueToKeyMappingEstimator.xml | 2 +- dotnet/xml/Microsoft.ML/ClusteringCatalog.xml | 2 +- .../xml/Microsoft.ML/CustomMappingCatalog.xml | 2 +- .../FactorizationMachineExtensions.xml | 4 +- .../Microsoft.ML/ImageEstimatorsCatalog.xml | 8 +- .../Microsoft.ML/StandardTrainersCatalog.xml | 12 +- dotnet/xml/Microsoft.ML/TextCatalog.xml | 8 +- dotnet/xml/Microsoft.ML/TimeSeriesCatalog.xml | 6 +- dotnet/xml/Microsoft.ML/TreeExtensions.xml | 10 +- .../PackageInformation/ml-dotnet-preview.json | 2 +- .../Microsoft.Data.Analysis.json | 11550 ++++++++-------- .../Microsoft.Extensions.ML.json | 92 +- .../Microsoft.ML.AutoML.json | 1240 +- .../Microsoft.ML.CodeGenerator.json | 12 +- .../ml-dotnet-preview/Microsoft.ML.Core.json | 326 +- .../ml-dotnet-preview/Microsoft.ML.Data.json | 1522 +- .../Microsoft.ML.DataView.json | 360 +- ...crosoft.ML.DnnImageFeaturizer.AlexNet.json | 8 +- ...osoft.ML.DnnImageFeaturizer.ResNet101.json | 8 +- ...rosoft.ML.DnnImageFeaturizer.ResNet18.json | 8 +- ...rosoft.ML.DnnImageFeaturizer.ResNet50.json | 8 +- .../Microsoft.ML.Experimental.json | 10 +- .../Microsoft.ML.FastTree.json | 660 +- .../Microsoft.ML.ImageAnalytics.json | 176 +- .../Microsoft.ML.KMeansClustering.json | 62 +- .../Microsoft.ML.LightGbm.json | 272 +- .../Microsoft.ML.Mkl.Components.json | 96 +- .../Microsoft.ML.OnnxConverter.json | 10 +- .../ml-dotnet-preview/Microsoft.ML.PCA.json | 58 +- .../Microsoft.ML.Recommender.json | 108 +- .../Microsoft.ML.SamplesUtils.json | 102 +- .../Microsoft.ML.SearchSpace.json | 262 +- .../Microsoft.ML.StandardTrainers.json | 792 +- .../Microsoft.ML.TensorFlow.json | 30 +- .../Microsoft.ML.TimeSeries.json | 370 +- .../Microsoft.ML.Tokenizers.json | 776 +- .../Microsoft.ML.TorchSharp.json | 496 +- .../Microsoft.ML.Transforms.json | 792 +- .../Microsoft.ML.Vision.json | 162 +- 112 files changed, 11525 insertions(+), 11587 deletions(-) create mode 100644 dotnet/xml/Microsoft.ML.Tokenizers/BitVector.xml create mode 100644 dotnet/xml/Microsoft.ML.Tokenizers/DawgBuilder.xml diff --git a/dotnet/xml/FrameworksIndex/ml-dotnet-preview.xml b/dotnet/xml/FrameworksIndex/ml-dotnet-preview.xml index 069639c99..90972c78a 100644 --- a/dotnet/xml/FrameworksIndex/ml-dotnet-preview.xml +++ b/dotnet/xml/FrameworksIndex/ml-dotnet-preview.xml @@ -67,6 +67,7 @@ + @@ -859,6 +860,7 @@ + @@ -3408,6 +3410,7 @@ + @@ -4388,6 +4391,7 @@ + @@ -5797,6 +5801,7 @@ + @@ -8181,12 +8186,25 @@ + + + + + + + + + + + + - - - + + + + @@ -8199,19 +8217,30 @@ - - - - - - - - - - + + + + + + + + + + + + - - + + + + + + + + + + + @@ -8227,12 +8256,12 @@ - + @@ -8259,7 +8288,6 @@ - @@ -8268,10 +8296,27 @@ + + + + + + + + + + + + + + + + + @@ -8332,9 +8377,9 @@ - - - + + + @@ -8365,6 +8410,7 @@ + @@ -8447,12 +8493,21 @@ + + + + + + + + + - - - - + + + + diff --git a/dotnet/xml/Microsoft.Data.Analysis/ArrowStringDataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/ArrowStringDataFrameColumn.xml index aa31150c1..5c22ce9e3 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/ArrowStringDataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/ArrowStringDataFrameColumn.xml @@ -801,22 +801,22 @@ - - - - - + + + + + Method Microsoft.Data.Analysis 1.0.0.0 - Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Int64> + Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Int64> - - + + To be added. diff --git a/dotnet/xml/Microsoft.Data.Analysis/DataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/DataFrameColumn.xml index 322f5ca1b..be3e495d2 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/DataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/DataFrameColumn.xml @@ -1610,22 +1610,22 @@ - - - - - + + + + + Method Microsoft.Data.Analysis 1.0.0.0 - Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Int64> + Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Int64> - - + + Sorting order. diff --git a/dotnet/xml/Microsoft.Data.Analysis/PrimitiveDataFrameColumn`1.xml b/dotnet/xml/Microsoft.Data.Analysis/PrimitiveDataFrameColumn`1.xml index 029d3e3ea..91a3112ff 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/PrimitiveDataFrameColumn`1.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/PrimitiveDataFrameColumn`1.xml @@ -1825,22 +1825,22 @@ - - - - - + + + + + Method Microsoft.Data.Analysis 1.0.0.0 - Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Int64> + Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Int64> - - + + To be added. diff --git a/dotnet/xml/Microsoft.Data.Analysis/StringDataFrameColumn.xml b/dotnet/xml/Microsoft.Data.Analysis/StringDataFrameColumn.xml index e16447c8e..1c5e808a1 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/StringDataFrameColumn.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/StringDataFrameColumn.xml @@ -848,22 +848,22 @@ - - - - - + + + + + Method Microsoft.Data.Analysis 1.0.0.0 - Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Int64> + Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Int64> - - + + To be added. diff --git a/dotnet/xml/Microsoft.Data.Analysis/VBufferDataFrameColumn`1.xml b/dotnet/xml/Microsoft.Data.Analysis/VBufferDataFrameColumn`1.xml index 3170d5497..cdaa7bad5 100644 --- a/dotnet/xml/Microsoft.Data.Analysis/VBufferDataFrameColumn`1.xml +++ b/dotnet/xml/Microsoft.Data.Analysis/VBufferDataFrameColumn`1.xml @@ -405,22 +405,22 @@ - - - - - + + + + + Method Microsoft.Data.Analysis 1.0.0.0 - Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Int64> + Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Int64> - - + + To be added. diff --git a/dotnet/xml/Microsoft.ML.AutoML/AutoCatalog.xml b/dotnet/xml/Microsoft.ML.AutoML/AutoCatalog.xml index d133fa9f3..7ec030182 100644 --- a/dotnet/xml/Microsoft.ML.AutoML/AutoCatalog.xml +++ b/dotnet/xml/Microsoft.ML.AutoML/AutoCatalog.xml @@ -64,6 +64,12 @@ + To be added. + To be added. + To be added. + To be added. + To be added. + To be added. label column name. feature column name. example weight column name. @@ -71,23 +77,17 @@ true if use lgbm as available trainer. true if use fast tree as available trainer. true if use as available trainer. - To be added. true if use as available trainer. - To be added. if provided, use it as initial option for fast tree, otherwise the default option will be used. if provided, use it as initial option for lgbm, otherwise the default option will be used. if provided, use it as initial option for fast forest, otherwise the default option will be used. if provided, use it as initial option for , otherwise the default option will be used. - To be added. if provided, use it as initial option for , otherwise the default option will be used. - To be added. if provided, use it as search space for fast tree, otherwise the default search space will be used. if provided, use it as search space for lgbm, otherwise the default search space will be used. if provided, use it as search space for fast forest, otherwise the default search space will be used. if provided, use it as search space for , otherwise the default search space will be used. - To be added. if provided, use it as search space for , otherwise the default search space will be used. - To be added. Create a list of for binary classification. @@ -530,11 +530,11 @@ input data. - output feature column. columns that should be treated as catalog. If not specified, it will automatically infer if a column is catalog or not. columns that should be treated as numeric. If not specified, it will automatically infer if a column is catalog or not. columns that should be treated as text. If not specified, it will automatically infer if a column is catalog or not. columns that should be treated as image path. If not specified, it will automatically infer if a column is catalog or not. + output feature column. columns that won't be included when featurizing, like label Create a single featurize pipeline according to . This function will collect all columns in and not in , @@ -860,6 +860,9 @@ + To be added. + To be added. + To be added. label column name. feature column name. example weight column name. @@ -867,19 +870,16 @@ true if use lgbm as available trainer. true if use fast tree as available trainer. true if use as available trainer. - To be added. true if use as available trainer. if provided, use it as initial option for fast tree, otherwise the default option will be used. if provided, use it as initial option for lgbm, otherwise the default option will be used. if provided, use it as initial option for fast forest, otherwise the default option will be used. if provided, use it as initial option for , otherwise the default option will be used. - To be added. if provided, use it as initial option for , otherwise the default option will be used. if provided, use it as search space for fast tree, otherwise the default search space will be used. if provided, use it as search space for lgbm, otherwise the default search space will be used. if provided, use it as search space for fast forest, otherwise the default search space will be used. if provided, use it as search space for , otherwise the default search space will be used. - To be added. if provided, use it as search space for sdca, otherwise the default search space will be used. Create a list of for regression. diff --git a/dotnet/xml/Microsoft.ML.AutoML/AutoMLExperimentExtension.xml b/dotnet/xml/Microsoft.ML.AutoML/AutoMLExperimentExtension.xml index b899195a6..6dfc9051f 100644 --- a/dotnet/xml/Microsoft.ML.AutoML/AutoMLExperimentExtension.xml +++ b/dotnet/xml/Microsoft.ML.AutoML/AutoMLExperimentExtension.xml @@ -321,10 +321,10 @@ + step size for numeric option. - step size for numeric option. set as tuner for hyper parameter optimization. @@ -529,10 +529,10 @@ + - set as tuner for hyper parameter optimization. If is provided, it will use that seed to initialize . Otherwise, will be used. @@ -608,15 +608,15 @@ - Number of points to use for random initialization. - re-fit random forests in smac for every N trials. number of regression trees when fitting random forest. - minimum number of data points required to be in a node if it is to be split further for fitting random forest in smac. + re-fit random forests in smac for every N trials. + Number of points to use for random initialization. split ratio for fitting random forest in smac. + minimum number of data points required to be in a node if it is to be split further for fitting random forest in smac. Number of search parents to use for local search in maximizing EI acquisition function. Number of random configurations when maximizing EI acquisition function. - the threshold to exit during maximizing EI acquisition function. Number of neighbours to sample from when applying one-step mutation for generating new parameters. + the threshold to exit during maximizing EI acquisition function. Set as tuner for hyper-parameter optimization. The performance of smac is in a large extend determined by , and , which are used to fit smac's inner diff --git a/dotnet/xml/Microsoft.ML.Data/DataViewTypeManager.xml b/dotnet/xml/Microsoft.ML.Data/DataViewTypeManager.xml index d3f27661e..5d4505e33 100644 --- a/dotnet/xml/Microsoft.ML.Data/DataViewTypeManager.xml +++ b/dotnet/xml/Microsoft.ML.Data/DataViewTypeManager.xml @@ -41,8 +41,8 @@ - The corresponding type of in ML.NET's type system. Native type in C#. + The corresponding type of in ML.NET's type system. The attached to . This function tells that should be representation of data in in @@ -83,8 +83,8 @@ - The corresponding type of in ML.NET's type system. Native type in C#. + The corresponding type of in ML.NET's type system. The s attached to . This function tells that should be representation of data in in diff --git a/dotnet/xml/Microsoft.ML.Data/SvmLightLoaderSaverCatalog.xml b/dotnet/xml/Microsoft.ML.Data/SvmLightLoaderSaverCatalog.xml index 5b065b48e..398e7144f 100644 --- a/dotnet/xml/Microsoft.ML.Data/SvmLightLoaderSaverCatalog.xml +++ b/dotnet/xml/Microsoft.ML.Data/SvmLightLoaderSaverCatalog.xml @@ -40,9 +40,9 @@ The catalog. - The number of rows from the sample to be used for determining the number of features. The number of features in the Features column. If 0 is specified, the loader will determine it by looking at the file sample given in . + The number of rows from the sample to be used for determining the number of features. If the file contains zero-based indices, this parameter should be set to true. If they are one-based it should be set to false. A data sample to be used for determining the number of features in the Features column. @@ -112,11 +112,11 @@ The catalog. The path to the file. - The number of rows from the sample to be used for determining the number of features. The number of features in the Features column. If 0 is specified, the loader will determine it by looking at the file given in . If the file contains zero-based indices, this parameter should be set to true. If they are one-based it should be set to false. + The number of rows from the sample to be used for determining the number of features. Load a from a text file using . diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/BertTokenizer.xml b/dotnet/xml/Microsoft.ML.Tokenizers/BertTokenizer.xml index 7b8754563..5c9dc4d6c 100644 --- a/dotnet/xml/Microsoft.ML.Tokenizers/BertTokenizer.xml +++ b/dotnet/xml/Microsoft.ML.Tokenizers/BertTokenizer.xml @@ -46,15 +46,11 @@ - - + + - - - - - - + + Method Microsoft.ML.Tokenizers @@ -64,16 +60,12 @@ System.Collections.Generic.IReadOnlyList<System.Int32> - - - - + + List of IDs to which the special tokens will be added. - To be added. Optional second list of IDs for sequence pairs. - To be added. Build model inputs from a sequence or a pair of sequence for sequence classification tasks by concatenating and adding special tokens. A BERT sequence has the following format: - single sequence: `[CLS] tokenIds [SEP]` @@ -85,15 +77,11 @@ - - + + - - - - - - + + Method Microsoft.ML.Tokenizers @@ -103,24 +91,16 @@ System.Buffers.OperationStatus - - - - - - - - + + + + List of IDs to which the special tokens will be added. - To be added. The destination buffer to write the token IDs with special tokens added. - To be added. The number of elements written to the destination buffer. - To be added. Optional second list of IDs for sequence pairs. - To be added. Build model inputs from a sequence or a pair of sequence for sequence classification tasks by concatenating and adding special tokens. A BERT sequence has the following format: - single sequence: `[CLS] tokenIds [SEP]` @@ -176,46 +156,6 @@ To be added. - - - - - - - Property - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.String - - - To be added. - To be added. - To be added. - - - - - - - - - Property - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Int32 - - - To be added. - To be added. - To be added. - - @@ -231,8 +171,8 @@ Microsoft.ML.Tokenizers.BertTokenizer - - + + The stream containing the vocabulary file. @@ -261,8 +201,8 @@ Microsoft.ML.Tokenizers.BertTokenizer - - + + The path to the vocabulary file. @@ -276,94 +216,6 @@ - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - Microsoft.ML.Tokenizers.BertTokenizer - - - - - - - - - - - - - - - - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - - - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - Microsoft.ML.Tokenizers.BertTokenizer - - - - - - - - - - - - - - - - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - - @@ -379,9 +231,9 @@ System.Threading.Tasks.Task<Microsoft.ML.Tokenizers.BertTokenizer> - - - + + + The stream containing the vocabulary file. @@ -411,9 +263,9 @@ System.Threading.Tasks.Task<Microsoft.ML.Tokenizers.BertTokenizer> - - - + + + The path to the vocabulary file. @@ -428,60 +280,12 @@ - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Threading.Tasks.Task<Microsoft.ML.Tokenizers.BertTokenizer> - - - - - - - - - - - - - - - - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - - - - + + - - - - - - + + Method Microsoft.ML.Tokenizers @@ -491,16 +295,12 @@ System.Collections.Generic.IReadOnlyList<System.Int32> - - - - + + List of token IDs for the first sequence. - To be added. Optional list of token IDs for the second sequence. - To be added. Create a mask from the two sequences passed to be used in a sequence-pair classification task. A BERT sequence pair mask has the following format: 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 @@ -513,15 +313,11 @@ - - + + - - - - - - + + Method Microsoft.ML.Tokenizers @@ -531,69 +327,21 @@ System.Buffers.OperationStatus - - - - - - - - + + + + To be added. - To be added. To be added. - To be added. To be added. - To be added. To be added. - To be added. To be added. To be added. To be added. - - - - - - - Property - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Boolean - - - To be added. - To be added. - To be added. - - - - - - - - - Property - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Boolean - - - To be added. - To be added. - To be added. - - @@ -867,15 +615,11 @@ - - + + - - - - - - + + Method Microsoft.ML.Tokenizers @@ -885,17 +629,13 @@ System.Collections.Generic.IReadOnlyList<System.Int32> - - - - - + + + List of IDs. - To be added. Optional second list of IDs for sequence pairs. - To be added. Indicate whether or not the token list is already formatted with special tokens for the model. Retrieve sequence tokens mask from a IDs list. @@ -906,15 +646,11 @@ - - + + - - - - - - + + Method Microsoft.ML.Tokenizers @@ -924,25 +660,17 @@ System.Buffers.OperationStatus - - - - - - - - - + + + + + List of IDs. - To be added. The destination buffer to write the mask. The integers written values are in the range [0, 1]: 1 for a special token, 0 for a sequence token. - To be added. The number of elements written to the destination buffer. - To be added. Optional second list of IDs for sequence pairs. - To be added. Indicate whether or not the token list is already formatted with special tokens for the model. Retrieve sequence tokens mask from a IDs list. @@ -1052,46 +780,6 @@ To be added. - - - - - - - Property - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.String - - - To be added. - To be added. - To be added. - - - - - - - - - Property - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Int32 - - - To be added. - To be added. - To be added. - - @@ -1136,46 +824,6 @@ To be added. - - - - - - - Property - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.String - - - To be added. - To be added. - To be added. - - - - - - - - - Property - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Int32 - - - To be added. - To be added. - To be added. - - @@ -1243,46 +891,6 @@ To be added. - - - - - - - Property - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.String - - - To be added. - To be added. - To be added. - - - - - - - - - Property - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Int32 - - - To be added. - To be added. - To be added. - - @@ -1305,45 +913,5 @@ To be added. - - - - - - - Property - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Boolean - - - To be added. - To be added. - To be added. - - - - - - - - - Property - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Boolean - - - To be added. - To be added. - To be added. - - diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/BitVector.xml b/dotnet/xml/Microsoft.ML.Tokenizers/BitVector.xml new file mode 100644 index 000000000..f33c04a33 --- /dev/null +++ b/dotnet/xml/Microsoft.ML.Tokenizers/BitVector.xml @@ -0,0 +1,210 @@ + + + + + + + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Object + + + + To be added. + To be added. + + + + + + + + Constructor + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Void + + + + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Void + + + + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Boolean + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Boolean + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.UInt32 + + + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.UInt32 + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Void + + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.UInt32 + + + To be added. + To be added. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/BpeTokenizer.xml b/dotnet/xml/Microsoft.ML.Tokenizers/BpeTokenizer.xml index 4ded740c6..660b0542c 100644 --- a/dotnet/xml/Microsoft.ML.Tokenizers/BpeTokenizer.xml +++ b/dotnet/xml/Microsoft.ML.Tokenizers/BpeTokenizer.xml @@ -19,26 +19,6 @@ To be added. - - - - - - - Property - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Collections.Generic.IReadOnlyDictionary<System.String,System.Int32> - - - To be added. - To be added. - To be added. - - @@ -152,15 +132,11 @@ - - + + - - - - - - + + Method Microsoft.ML.Tokenizers @@ -170,16 +146,15 @@ Microsoft.ML.Tokenizers.BpeTokenizer - - - - - - - - - - + + + + + + + + + The JSON stream containing the dictionary of string keys and their ids. @@ -187,7 +162,6 @@ The pre-tokenizer to use. The normalizer to use. The dictionary mapping special tokens to Ids. - To be added. The unknown token to be used by the model. The prefix to attach to sub-word units that don’t represent a beginning of word. The suffix to attach to sub-word units that represent an end of word. @@ -202,15 +176,11 @@ - - + + - - - - - - + + Method Microsoft.ML.Tokenizers @@ -220,16 +190,15 @@ Microsoft.ML.Tokenizers.BpeTokenizer - - - - - - - - - - + + + + + + + + + The JSON file path containing the dictionary of string keys and their ids. @@ -237,7 +206,6 @@ The pre-tokenizer to use. The normalizer to use. The dictionary mapping special tokens to Ids. - To be added. The unknown token to be used by the model. The prefix to attach to sub-word units that don’t represent a beginning of word. The suffix to attach to sub-word units that represent an end of word. @@ -252,15 +220,11 @@ - - + + - - - - - - + + Method Microsoft.ML.Tokenizers @@ -270,16 +234,15 @@ System.Threading.Tasks.Task<Microsoft.ML.Tokenizers.BpeTokenizer> - - - - - - - - - - + + + + + + + + + The JSON stream containing the dictionary of string keys and their ids. @@ -287,7 +250,6 @@ The pre-tokenizer to use. The normalizer to use. The dictionary mapping special tokens to Ids. - To be added. The unknown token to be used by the model. The prefix to attach to sub-word units that don’t represent a beginning of word. The suffix to attach to sub-word units that represent an end of word. @@ -526,15 +488,11 @@ - - + + - - - - - - + + Method Microsoft.ML.Tokenizers @@ -544,13 +502,12 @@ System.Int32 - - - - - - - + + + + + + The text to encode. @@ -558,7 +515,6 @@ The settings used to encode the text. Indicate whether to find the index from the end of the text. If the tokenizer's normalization is enabled or has is , this will be set to in its normalized form; otherwise, this value will be set to . - To be added. The token count can be generated which should be smaller than the maximum token count. Find the index of the maximum encoding capacity without surpassing the token limit. diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/CodeGenTokenizer.xml b/dotnet/xml/Microsoft.ML.Tokenizers/CodeGenTokenizer.xml index 4e4f75005..b0b3dd602 100644 --- a/dotnet/xml/Microsoft.ML.Tokenizers/CodeGenTokenizer.xml +++ b/dotnet/xml/Microsoft.ML.Tokenizers/CodeGenTokenizer.xml @@ -42,26 +42,6 @@ To be added. - - - - - - - Property - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Collections.Generic.IReadOnlyDictionary<System.String,System.Int32> - - - To be added. - To be added. - To be added. - - @@ -520,15 +500,11 @@ - - + + - - - - - - + + Method Microsoft.ML.Tokenizers @@ -538,16 +514,15 @@ System.Collections.Generic.IReadOnlyList<System.Int32> - - - - - - - - - - + + + + + + + + + The text to encode. @@ -556,7 +531,6 @@ Indicate whether to include the beginning of sentence token in the encoding. Indicate whether to include the end of sentence token in the encoding. If the tokenizer's normalization is enabled, the input text will be represented in its normalization form; otherwise, it will be null. - To be added. The length of the text that encompasses the maximum encoded tokens. Indicate whether to consider pre-tokenization before tokenization. Indicate whether to consider normalization before tokenization. @@ -568,15 +542,11 @@ - - + + - - - - - - + + Method Microsoft.ML.Tokenizers @@ -586,16 +556,15 @@ System.Collections.Generic.IReadOnlyList<System.Int32> - - - - - - - - - - + + + + + + + + + The text to encode. @@ -604,7 +573,6 @@ Indicate whether to include the beginning of sentence token in the encoding. Indicate whether to include the end of sentence token in the encoding. If the tokenizer's normalization is enabled, the input text will be represented in its normalization form; otherwise, it will be null. - To be added. The length of the text that encompasses the maximum encoded tokens. Indicate whether to consider pre-tokenization before tokenization. Indicate whether to consider normalization before tokenization. @@ -646,15 +614,11 @@ - - + + - - - - - - + + Method Microsoft.ML.Tokenizers @@ -664,22 +628,20 @@ System.Collections.Generic.IReadOnlyList<Microsoft.ML.Tokenizers.EncodedToken> - - - - - - - - + + + + + + + The text to encode. + If the tokenizer's normalization is enabled, the input text will be represented in its normalization form; otherwise, it will null. Indicate whether to include a leading space before encoding the text. Indicate whether to include the beginning of sentence token in the encoding. Indicate whether to include the end of sentence token in the encoding. - If the tokenizer's normalization is enabled, the input text will be represented in its normalization form; otherwise, it will null. - To be added. Indicate whether to consider pre-tokenization before tokenization. Indicate whether to consider normalization before tokenization. @@ -690,15 +652,11 @@ - - + + - - - - - - + + Method Microsoft.ML.Tokenizers @@ -708,22 +666,20 @@ System.Collections.Generic.IReadOnlyList<Microsoft.ML.Tokenizers.EncodedToken> - - - - - - - - + + + + + + + The text to encode. + If the tokenizer's normalization is enabled, the input text will be represented in its normalization form; otherwise, it will null. Indicate whether to include a leading space before encoding the text. Indicate whether to include the beginning of sentence token in the encoding. Indicate whether to include the end of sentence token in the encoding. - If the tokenizer's normalization is enabled, the input text will be represented in its normalization form; otherwise, it will null. - To be added. Indicate whether to consider pre-tokenization before tokenization. Indicate whether to consider normalization before tokenization. @@ -778,15 +734,11 @@ - - + + - - - - - - + + Method Microsoft.ML.Tokenizers @@ -796,13 +748,12 @@ System.Int32 - - - - - - - + + + + + + The text to encode. @@ -810,7 +761,6 @@ The settings used to encode the text. Indicate whether to find the index from the end of the text. If the tokenizer's normalization is enabled or has is , this will be set to in its normalized form; otherwise, this value will be set to . - To be added. The token count can be generated which should be smaller than the maximum token count. Find the index of the maximum encoding capacity without surpassing the token limit. @@ -826,15 +776,11 @@ - - + + - - - - - - + + Method Microsoft.ML.Tokenizers @@ -844,16 +790,15 @@ System.Int32 - - - - - - - - - - + + + + + + + + + The text to encode. @@ -862,7 +807,6 @@ Indicate whether to include the beginning of sentence token in the encoding. Indicate whether to include the end of sentence token in the encoding. If the tokenizer's normalization is enabled, the input text will be represented in its normalization form; otherwise, it will be null. - To be added. The token count can be generated which should be smaller than the maximum token count. Indicate whether to consider pre-tokenization before tokenization. Indicate whether to consider normalization before tokenization. @@ -878,15 +822,11 @@ - - + + - - - - - - + + Method Microsoft.ML.Tokenizers @@ -896,16 +836,15 @@ System.Int32 - - - - - - - - - - + + + + + + + + + The text to encode. @@ -914,7 +853,6 @@ Indicate whether to include the beginning of sentence token in the encoding. Indicate whether to include the end of sentence token in the encoding. If the tokenizer's normalization is enabled, the input text will be represented in its normalization form; otherwise, it will be null. - To be added. The token count can be generated which should be smaller than the maximum token count. Indicate whether to consider pre-tokenization before tokenization. Indicate whether to consider normalization before tokenization. @@ -930,15 +868,11 @@ - - + + - - - - - - + + Method Microsoft.ML.Tokenizers @@ -948,16 +882,15 @@ System.Int32 - - - - - - - - - - + + + + + + + + + The text to encode. @@ -966,7 +899,6 @@ Indicate whether to include the beginning of sentence token in the encoding. Indicate whether to include the end of sentence token in the encoding. If the tokenizer's normalization is enabled, the input text will be represented in its normalization form; otherwise, it will be null. - To be added. The token count can be generated which should be smaller than the maximum token count. Indicate whether to consider pre-tokenization before tokenization. Indicate whether to consider normalization before tokenization. @@ -983,15 +915,11 @@ - - + + - - - - - - + + Method Microsoft.ML.Tokenizers @@ -1001,16 +929,15 @@ System.Int32 - - - - - - - - - - + + + + + + + + + The text to encode. @@ -1019,7 +946,6 @@ Indicate whether to include the beginning of sentence token in the encoding. Indicate whether to include the end of sentence token in the encoding. If the tokenizer's normalization is enabled, the input text will be represented in its normalization form; otherwise, it will be null. - To be added. The token count can be generated which should be smaller than the maximum token count. Indicate whether to consider pre-tokenization before tokenization. Indicate whether to consider normalization before tokenization. diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/DawgBuilder.xml b/dotnet/xml/Microsoft.ML.Tokenizers/DawgBuilder.xml new file mode 100644 index 000000000..50295fe15 --- /dev/null +++ b/dotnet/xml/Microsoft.ML.Tokenizers/DawgBuilder.xml @@ -0,0 +1,332 @@ + + + + + + + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Object + + + + To be added. + To be added. + + + + + + + + Constructor + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.UInt32 + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Void + + + + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Void + + + + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Void + + + + + + + + To be added. + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.UInt32 + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Boolean + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Boolean + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Byte + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.UInt32 + + + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.UInt32 + + + + + + To be added. + To be added. + To be added. + To be added. + + + + + + + + + Property + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + To be added. + To be added. + To be added. + + + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + System.Int32 + + + + + + To be added. + To be added. + To be added. + To be added. + + + + diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/EnglishRobertaTokenizer.xml b/dotnet/xml/Microsoft.ML.Tokenizers/EnglishRobertaTokenizer.xml index 62e0c4152..b926f4e52 100644 --- a/dotnet/xml/Microsoft.ML.Tokenizers/EnglishRobertaTokenizer.xml +++ b/dotnet/xml/Microsoft.ML.Tokenizers/EnglishRobertaTokenizer.xml @@ -434,15 +434,11 @@ - - + + - - - - - - + + Method Microsoft.ML.Tokenizers @@ -452,13 +448,12 @@ System.Int32 - - - - - - - + + + + + + The text to encode. @@ -466,7 +461,6 @@ The settings used to encode the text. Indicate whether to find the index from the end of the text. If the tokenizer's normalization is enabled or has is , this will be set to in its normalized form; otherwise, this value will be set to . - To be added. The token count can be generated which should be smaller than the maximum token count. Find the index of the maximum encoding capacity without surpassing the token limit. diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/PreTokenizer.xml b/dotnet/xml/Microsoft.ML.Tokenizers/PreTokenizer.xml index f82ab6bea..9ee80002a 100644 --- a/dotnet/xml/Microsoft.ML.Tokenizers/PreTokenizer.xml +++ b/dotnet/xml/Microsoft.ML.Tokenizers/PreTokenizer.xml @@ -51,7 +51,7 @@ Microsoft.ML.Tokenizers.PreTokenizer - + The dictionary containing the special tokens and their corresponding ids. @@ -64,54 +64,6 @@ - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - Microsoft.ML.Tokenizers.PreTokenizer - - - - - - To be added. - To be added. - To be added. - To be added. - - - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - Microsoft.ML.Tokenizers.PreTokenizer - - - - - - To be added. - To be added. - To be added. - To be added. - - @@ -127,7 +79,7 @@ Microsoft.ML.Tokenizers.PreTokenizer - + The dictionary containing the special tokens and their corresponding ids. @@ -141,30 +93,6 @@ - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - Microsoft.ML.Tokenizers.PreTokenizer - - - - - - To be added. - To be added. - To be added. - To be added. - - @@ -180,7 +108,7 @@ Microsoft.ML.Tokenizers.PreTokenizer - + The dictionary containing the special tokens and their corresponding ids. @@ -255,8 +183,8 @@ - The string to split into tokens. The string to split into tokens. + The string to split into tokens. Get the offsets and lengths of the tokens relative to the . diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/RegexPreTokenizer.xml b/dotnet/xml/Microsoft.ML.Tokenizers/RegexPreTokenizer.xml index cc37a07cf..b5334d733 100644 --- a/dotnet/xml/Microsoft.ML.Tokenizers/RegexPreTokenizer.xml +++ b/dotnet/xml/Microsoft.ML.Tokenizers/RegexPreTokenizer.xml @@ -20,29 +20,23 @@ - - + + - - - - - - + + Constructor Microsoft.ML.Tokenizers 1.0.0.0 - - - + + The regex to use for splitting the text into smaller tokens in the pre-tokenization process. The dictionary containing the special tokens and their corresponding ids. - To be added. Initializes a new instance of the class. diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/RobertaPreTokenizer.xml b/dotnet/xml/Microsoft.ML.Tokenizers/RobertaPreTokenizer.xml index c44fa0baa..80e10a491 100644 --- a/dotnet/xml/Microsoft.ML.Tokenizers/RobertaPreTokenizer.xml +++ b/dotnet/xml/Microsoft.ML.Tokenizers/RobertaPreTokenizer.xml @@ -140,8 +140,8 @@ - The string to split into tokens. The string to split into tokens. + The string to split into tokens. Get the offsets and lengths of the tokens relative to the . diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/SentencePieceNormalizer.xml b/dotnet/xml/Microsoft.ML.Tokenizers/SentencePieceNormalizer.xml index aec6c85ee..15a5b4d45 100644 --- a/dotnet/xml/Microsoft.ML.Tokenizers/SentencePieceNormalizer.xml +++ b/dotnet/xml/Microsoft.ML.Tokenizers/SentencePieceNormalizer.xml @@ -14,7 +14,7 @@ - Normalize the string to lowercase form before processing it with the tokenizer. + Normalize the string according to SentencePiece normalization. To be added. @@ -44,7 +44,7 @@ To be added. To be added. - Creates a LowerCaseNormalizer object. + Creates a SentencePieceNormalizer object. To be added. diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/SentencePieceTokenizer.xml b/dotnet/xml/Microsoft.ML.Tokenizers/SentencePieceTokenizer.xml index b8964279a..38d73847f 100644 --- a/dotnet/xml/Microsoft.ML.Tokenizers/SentencePieceTokenizer.xml +++ b/dotnet/xml/Microsoft.ML.Tokenizers/SentencePieceTokenizer.xml @@ -250,15 +250,11 @@ - - + + - - - - - - + + Method Microsoft.ML.Tokenizers @@ -268,15 +264,14 @@ System.Int32 - - - - - - - - - + + + + + + + + The text to encode. @@ -285,7 +280,6 @@ Indicate whether to consider pre-tokenization before tokenization. Indicate whether to consider normalization before tokenization. If the tokenizer's normalization is enabled or is false, this will be set to in its normalized form; otherwise, this value will be set to null. - To be added. The length of the text that encompasses the maximum encoded tokens. The maximum number of tokens to encode. @@ -296,15 +290,11 @@ - - + + - - - - - - + + Method Microsoft.ML.Tokenizers @@ -314,15 +304,14 @@ System.Int32 - - - - - - - - - + + + + + + + + The text to encode. @@ -331,7 +320,6 @@ Indicate whether to consider pre-tokenization before tokenization. Indicate whether to consider normalization before tokenization. If the tokenizer's normalization is enabled or is false, this will be set to in its normalized form; otherwise, this value will be set to null. - To be added. The length of the text that encompasses the maximum encoded tokens. The maximum number of tokens to encode. @@ -341,6 +329,41 @@ To be added. + + + + + + + Method + + Microsoft.ML.Tokenizers + 1.0.0.0 + + + Microsoft.ML.Tokenizers.SentencePieceTokenizer + + + + + + + + + The stream containing the SentencePiece Bpe or Unigram model. + Indicate emitting the beginning of sentence token during the encoding. + Indicate emitting the end of sentence token during the encoding. + The additional tokens to add to the vocabulary. + + Creates an instance of SentencePieceTokenizer. The model stream should contain a SentencePiece model as specified in the following documentation: + https://github.com/google/sentencepiece/blob/master/src/sentencepiece_model.proto. + + To be added. + + When creating the tokenizer, ensure that the vocabulary stream is sourced from a trusted provider. + + + @@ -560,15 +583,11 @@ - - + + - - - - - - + + Method Microsoft.ML.Tokenizers @@ -578,15 +597,14 @@ System.Collections.Generic.IReadOnlyList<System.Int32> - - - - - - - - - + + + + + + + + The text to encode. @@ -594,7 +612,6 @@ Indicate emitting the end of sentence token during the encoding. The maximum number of tokens to encode. If the tokenizer's normalization is enabled or is false, this will be set to in its normalized form; otherwise, this value will be set to null. - To be added. The length of the text that encompasses the maximum encoded tokens. Indicate whether to consider pre-tokenization before tokenization. Indicate whether to consider normalization before tokenization. @@ -606,15 +623,11 @@ - - + + - - - - - - + + Method Microsoft.ML.Tokenizers @@ -624,15 +637,14 @@ System.Collections.Generic.IReadOnlyList<System.Int32> - - - - - - - - - + + + + + + + + The text to encode. @@ -640,7 +652,6 @@ Indicate emitting the end of sentence token during the encoding. The maximum number of tokens to encode. If the tokenizer's normalization is enabled or is false, this will be set to in its normalized form; otherwise, this value will be set to null. - To be added. The length of the text that encompasses the maximum encoded tokens. Indicate whether to consider pre-tokenization before tokenization. Indicate whether to consider normalization before tokenization. @@ -682,15 +693,11 @@ - - + + - - - - - - + + Method Microsoft.ML.Tokenizers @@ -700,18 +707,16 @@ System.Collections.Generic.IReadOnlyList<Microsoft.ML.Tokenizers.EncodedToken> - - - - - - - + + + + + + The text to encode. If the tokenizer's normalization is enabled or is false, this will be set to in its normalized form; otherwise, this value will be set to null. - To be added. Indicate emitting the beginning of sentence token during the encoding. Indicate emitting the end of sentence token during the encoding. Indicate whether to consider pre-tokenization before tokenization. @@ -724,15 +729,11 @@ - - + + - - - - - - + + Method Microsoft.ML.Tokenizers @@ -742,18 +743,16 @@ System.Collections.Generic.IReadOnlyList<Microsoft.ML.Tokenizers.EncodedToken> - - - - - - - + + + + + + The text to encode. If the tokenizer's normalization is enabled or is false, this will be set to in its normalized form; otherwise, this value will be set to null. - To be added. Indicate emitting the beginning of sentence token during the encoding. Indicate emitting the end of sentence token during the encoding. Indicate whether to consider pre-tokenization before tokenization. @@ -832,15 +831,11 @@ - - + + - - - - - - + + Method Microsoft.ML.Tokenizers @@ -850,13 +845,12 @@ System.Int32 - - - - - - - + + + + + + The text to encode. @@ -864,7 +858,6 @@ The settings used to encode the text. Indicate whether to find the index from the end of the text. If the tokenizer's normalization is enabled or has is , this will be set to in its normalized form; otherwise, this value will be set to . - To be added. The token count can be generated which should be smaller than the maximum token count. Find the index of the maximum encoding capacity without surpassing the token limit. @@ -880,15 +873,11 @@ - - + + - - - - - - + + Method Microsoft.ML.Tokenizers @@ -898,15 +887,14 @@ System.Int32 - - - - - - - - - + + + + + + + + The text to encode. @@ -914,7 +902,6 @@ Indicate emitting the end of sentence token during the encoding. The maximum token count to limit the encoding capacity. If the tokenizer's normalization is enabled or is false, this will be set to in its normalized form; otherwise, this value will be set to null. - To be added. The token count can be generated which should be smaller than the maximum token count. Indicate whether to consider pre-tokenization before tokenization. Indicate whether to consider normalization before tokenization. @@ -930,15 +917,11 @@ - - + + - - - - - - + + Method Microsoft.ML.Tokenizers @@ -948,15 +931,14 @@ System.Int32 - - - - - - - - - + + + + + + + + The text to encode. @@ -964,7 +946,6 @@ Indicate emitting the end of sentence token during the encoding. The maximum token count to limit the encoding capacity. If the tokenizer's normalization is enabled or is false, this will be set to in its normalized form; otherwise, this value will be set to null. - To be added. The token count can be generated which should be smaller than the maximum token count. Indicate whether to consider pre-tokenization before tokenization. Indicate whether to consider normalization before tokenization. @@ -980,15 +961,11 @@ - - + + - - - - - - + + Method Microsoft.ML.Tokenizers @@ -998,23 +975,21 @@ System.Int32 - - - - - - - - + + + + + + + The text to encode. Indicate emitting the beginning of sentence token during the encoding. Indicate emitting the end of sentence token during the encoding. - The maximum token count to limit the encoding capacity. Indicate whether to consider normalization before tokenization. + The maximum token count to limit the encoding capacity. If the tokenizer's normalization is enabled or is false, this will be set to in its normalized form; otherwise, this value will be set to null. - To be added. The token count can be generated which should be smaller than the maximum token count. Find the index of the maximum encoding capacity from the end within the text without surpassing the token limit. @@ -1027,15 +1002,11 @@ - - + + - - - - - - + + Method Microsoft.ML.Tokenizers @@ -1045,14 +1016,13 @@ System.Int32 - - - - - - - - + + + + + + + The text to encode. @@ -1061,7 +1031,6 @@ The maximum token count to limit the encoding capacity. Indicate whether to consider normalization before tokenization. If the tokenizer's normalization is enabled or is false, this will be set to in its normalized form; otherwise, this value will be set to null. - To be added. The token count can be generated which should be smaller than the maximum token count. Find the index of the maximum encoding capacity from the end within the text without surpassing the token limit. @@ -1132,7 +1101,9 @@ System.Collections.Generic.IReadOnlyDictionary<System.String,System.Int32> - To be added. + + The special tokens. + To be added. To be added. diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/TiktokenTokenizer.xml b/dotnet/xml/Microsoft.ML.Tokenizers/TiktokenTokenizer.xml index d86382c4a..83d8a3aa7 100644 --- a/dotnet/xml/Microsoft.ML.Tokenizers/TiktokenTokenizer.xml +++ b/dotnet/xml/Microsoft.ML.Tokenizers/TiktokenTokenizer.xml @@ -161,15 +161,11 @@ - - + + - - - - - - + + Method Microsoft.ML.Tokenizers @@ -179,20 +175,18 @@ System.Threading.Tasks.Task<Microsoft.ML.Tokenizers.TiktokenTokenizer> - - - - - - - + + + + + + The BPE vocab file. The pre-tokenizer to use. The normalizer to use. The dictionary mapping special tokens to Ids. - To be added. The size of the cache to use. used to request cancellation of the operation. @@ -455,15 +449,11 @@ - - + + - - - - - - + + Method Microsoft.ML.Tokenizers @@ -473,13 +463,12 @@ System.Int32 - - - - - - - + + + + + + The text to encode. @@ -487,7 +476,6 @@ The settings used to encode the text. Indicate whether to find the index from the end of the text. If the tokenizer's normalization is enabled or has is , this will be set to in its normalized form; otherwise, this value will be set to . - To be added. The token count can be generated which should be smaller than the maximum token count. Find the index of the maximum encoding capacity without surpassing the token limit. diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/Tokenizer.xml b/dotnet/xml/Microsoft.ML.Tokenizers/Tokenizer.xml index d547776ae..0c74d0895 100644 --- a/dotnet/xml/Microsoft.ML.Tokenizers/Tokenizer.xml +++ b/dotnet/xml/Microsoft.ML.Tokenizers/Tokenizer.xml @@ -528,15 +528,11 @@ - - + + - - - - - - + + Method Microsoft.ML.Tokenizers @@ -547,15 +543,13 @@ - - + The text to encode. If the tokenizer's normalization is enabled or is , this will be set to in its normalized form; otherwise, this value will be set to . - To be added. Indicate whether to consider pre-tokenization before tokenization. Indicate whether to consider normalization before tokenization. @@ -566,15 +560,11 @@ - - + + - - - - - - + + Method Microsoft.ML.Tokenizers @@ -585,15 +575,13 @@ - - + The text to encode. If the tokenizer's normalization is enabled or is , this will be set to in its normalized form; otherwise, this value will be set to . - To be added. Indicate whether to consider pre-tokenization before tokenization. Indicate whether to consider normalization before tokenization. @@ -604,15 +592,11 @@ - - + + - - - - - - + + Method Microsoft.ML.Tokenizers @@ -624,8 +608,7 @@ - - + @@ -634,7 +617,6 @@ The text to encode. The maximum number of tokens to encode. If the tokenizer's normalization is enabled or is , this will be set to in its normalized form; otherwise, this value will be set to . - To be added. The token count can be generated which should be smaller than the maximum token count. Indicate whether to consider pre-tokenization before tokenization. Indicate whether to consider normalization before tokenization. @@ -650,15 +632,11 @@ - - + + - - - - - - + + Method Microsoft.ML.Tokenizers @@ -670,8 +648,7 @@ - - + @@ -680,7 +657,6 @@ The text to encode. The maximum number of tokens to encode. If the tokenizer's normalization is enabled or is , this will be set to in its normalized form; otherwise, this value will be set to . - To be added. The token count can be generated which should be smaller than the maximum token count. Indicate whether to consider pre-tokenization before tokenization. Indicate whether to consider normalization before tokenization. @@ -696,15 +672,11 @@ - - + + - - - - - - + + Method Microsoft.ML.Tokenizers @@ -718,8 +690,7 @@ - - + @@ -728,7 +699,6 @@ The settings used to encode the text. Indicate whether to find the index from the end of the text. If the tokenizer's normalization is enabled or has is , this will be set to in its normalized form; otherwise, this value will be set to . - To be added. The token count can be generated which should be smaller than the maximum token count. Find the index of the maximum encoding capacity without surpassing the token limit. @@ -747,15 +717,11 @@ - - + + - - - - - - + + Method Microsoft.ML.Tokenizers @@ -767,8 +733,7 @@ - - + @@ -777,7 +742,6 @@ The text to encode. The maximum number of tokens to encode. If the tokenizer's normalization is enabled or is , this will be set to in its normalized form; otherwise, this value will be set to . - To be added. The token count can be generated which should be smaller than the maximum token count. Indicate whether to consider pre-tokenization before tokenization. Indicate whether to consider normalization before tokenization. @@ -793,15 +757,11 @@ - - + + - - - - - - + + Method Microsoft.ML.Tokenizers @@ -813,8 +773,7 @@ - - + @@ -823,7 +782,6 @@ The text to encode. The maximum number of tokens to encode. If the tokenizer's normalization is enabled or is , this will be set to in its normalized form; otherwise, this value will be set to . - To be added. The token count can be generated which should be smaller than the maximum token count. Indicate whether to consider pre-tokenization before tokenization. Indicate whether to consider normalization before tokenization. diff --git a/dotnet/xml/Microsoft.ML.Tokenizers/WordPieceTokenizer.xml b/dotnet/xml/Microsoft.ML.Tokenizers/WordPieceTokenizer.xml index ecd08ab83..035f1b699 100644 --- a/dotnet/xml/Microsoft.ML.Tokenizers/WordPieceTokenizer.xml +++ b/dotnet/xml/Microsoft.ML.Tokenizers/WordPieceTokenizer.xml @@ -89,8 +89,8 @@ Microsoft.ML.Tokenizers.WordPieceTokenizer - - + + The path to the WordPiece vocab file. @@ -120,8 +120,8 @@ Microsoft.ML.Tokenizers.WordPieceTokenizer - - + + The path to the WordPiece vocab file. @@ -136,78 +136,6 @@ - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - Microsoft.ML.Tokenizers.WordPieceTokenizer - - - - - - - - - - - - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - - - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - Microsoft.ML.Tokenizers.WordPieceTokenizer - - - - - - - - - - - - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - - @@ -223,9 +151,9 @@ System.Threading.Tasks.Task<Microsoft.ML.Tokenizers.WordPieceTokenizer> - - - + + + The path to the WordPiece vocab file. @@ -256,9 +184,9 @@ System.Threading.Tasks.Task<Microsoft.ML.Tokenizers.WordPieceTokenizer> - - - + + + The path to the WordPiece vocab file. @@ -274,82 +202,6 @@ - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Threading.Tasks.Task<Microsoft.ML.Tokenizers.WordPieceTokenizer> - - - - - - - - - - - - - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - - - - - - - - - Method - - Microsoft.ML.Tokenizers - 1.0.0.0 - - - System.Threading.Tasks.Task<Microsoft.ML.Tokenizers.WordPieceTokenizer> - - - - - - - - - - - - - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - To be added. - - @@ -531,15 +383,11 @@ - - + + - - - - - - + + Method Microsoft.ML.Tokenizers @@ -549,13 +397,12 @@ System.Int32 - - - - - - - + + + + + + The text to encode. @@ -563,7 +410,6 @@ The settings used to encode the text. Indicate whether to find the index from the end of the text. If the tokenizer's normalization is enabled or has is , this will be set to in its normalized form; otherwise, this value will be set to . - To be added. The token count can be generated which should be smaller than the maximum token count. Find the index of the maximum encoding capacity without surpassing the token limit. diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestBinaryTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestBinaryTrainer.xml index 625008d74..a985a615c 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestBinaryTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestBinaryTrainer.xml @@ -40,9 +40,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-fastforest.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestRegressionTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestRegressionTrainer.xml index dbee4d909..4452bafaf 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestRegressionTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestRegressionTrainer.xml @@ -40,9 +40,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-fastforest.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeBinaryTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeBinaryTrainer.xml index 29fedb89e..dc480f636 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeBinaryTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeBinaryTrainer.xml @@ -40,9 +40,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-fasttree.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRankingTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRankingTrainer.xml index dd2d9564c..1ecf69043 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRankingTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRankingTrainer.xml @@ -40,9 +40,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-fasttree.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRegressionTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRegressionTrainer.xml index 20c4b0d97..ba97f27cb 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRegressionTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRegressionTrainer.xml @@ -40,9 +40,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-fasttree.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeTweedieTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeTweedieTrainer.xml index 5e4ccb7fa..e9b6de079 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeTweedieTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeTweedieTrainer.xml @@ -48,9 +48,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamBinaryTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamBinaryTrainer.xml index 16d24117e..ac6820f17 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamBinaryTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamBinaryTrainer.xml @@ -40,9 +40,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-gam.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamRegressionTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamRegressionTrainer.xml index 961bfb007..94b23fe95 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamRegressionTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.FastTree/GamRegressionTrainer.xml @@ -40,9 +40,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-gam.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmBinaryTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmBinaryTrainer.xml index 1e395805e..aa610a8bc 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmBinaryTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmBinaryTrainer.xml @@ -41,8 +41,8 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-lightgbm.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmMulticlassTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmMulticlassTrainer.xml index 7ecf6ea2b..112e22049 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmMulticlassTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmMulticlassTrainer.xml @@ -41,9 +41,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-lightgbm.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRankingTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRankingTrainer.xml index b6d25114f..c75484a8e 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRankingTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRankingTrainer.xml @@ -41,9 +41,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-lightgbm.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRegressionTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRegressionTrainer.xml index 3247ba90e..b1b1f8be4 100644 --- a/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRegressionTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRegressionTrainer.xml @@ -41,9 +41,9 @@ [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-lightgbm.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/AveragedPerceptronTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/AveragedPerceptronTrainer.xml index f993d7c05..e335e87b0 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/AveragedPerceptronTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/AveragedPerceptronTrainer.xml @@ -58,9 +58,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/FieldAwareFactorizationMachineTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/FieldAwareFactorizationMachineTrainer.xml index 8031db54c..34de1ec04 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/FieldAwareFactorizationMachineTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/FieldAwareFactorizationMachineTrainer.xml @@ -72,10 +72,10 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/LbfgsLogisticRegressionBinaryTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/LbfgsLogisticRegressionBinaryTrainer.xml index 663dc7186..6750230e4 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/LbfgsLogisticRegressionBinaryTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/LbfgsLogisticRegressionBinaryTrainer.xml @@ -66,9 +66,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/LbfgsMaximumEntropyMulticlassTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/LbfgsMaximumEntropyMulticlassTrainer.xml index 7a633436a..9636ee96c 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/LbfgsMaximumEntropyMulticlassTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/LbfgsMaximumEntropyMulticlassTrainer.xml @@ -61,9 +61,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/LbfgsPoissonRegressionTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/LbfgsPoissonRegressionTrainer.xml index 1667ef9f4..63fad6047 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/LbfgsPoissonRegressionTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/LbfgsPoissonRegressionTrainer.xml @@ -45,9 +45,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/LdSvmTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/LdSvmTrainer.xml index ad398a5bd..3d7e005f6 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/LdSvmTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/LdSvmTrainer.xml @@ -51,8 +51,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/LinearSvmTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/LinearSvmTrainer.xml index 9181b901d..548ad158c 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/LinearSvmTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/LinearSvmTrainer.xml @@ -50,8 +50,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/MatrixFactorizationTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/MatrixFactorizationTrainer.xml index 5ef96189d..9f84844c2 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/MatrixFactorizationTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/MatrixFactorizationTrainer.xml @@ -107,9 +107,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/OlsTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/OlsTrainer.xml index 864f4b598..3b05e91ee 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/OlsTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/OlsTrainer.xml @@ -45,9 +45,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/OnlineGradientDescentTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/OnlineGradientDescentTrainer.xml index 8a7d3f654..32f49fe30 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/OnlineGradientDescentTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/OnlineGradientDescentTrainer.xml @@ -45,9 +45,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/RandomizedPcaTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/RandomizedPcaTrainer.xml index 00aacf60b..55c4d1d00 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/RandomizedPcaTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/RandomizedPcaTrainer.xml @@ -60,9 +60,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SdcaLogisticRegressionBinaryTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/SdcaLogisticRegressionBinaryTrainer.xml index 575376c5f..1332754d2 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SdcaLogisticRegressionBinaryTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SdcaLogisticRegressionBinaryTrainer.xml @@ -44,9 +44,9 @@ [!include[references](~/../docs/samples/docs/api-reference/algo-details-sdca-refs.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SdcaMaximumEntropyMulticlassTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/SdcaMaximumEntropyMulticlassTrainer.xml index 09cce5fb4..e9fa09377 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SdcaMaximumEntropyMulticlassTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SdcaMaximumEntropyMulticlassTrainer.xml @@ -49,9 +49,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SdcaMulticlassTrainerBase`1.xml b/dotnet/xml/Microsoft.ML.Trainers/SdcaMulticlassTrainerBase`1.xml index eb32fa402..8cb56149f 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SdcaMulticlassTrainerBase`1.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SdcaMulticlassTrainerBase`1.xml @@ -72,12 +72,12 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedBinaryTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedBinaryTrainer.xml index ee81fc3ba..a734fde4b 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedBinaryTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedBinaryTrainer.xml @@ -42,9 +42,9 @@ [!include[references](~/../docs/samples/docs/api-reference/algo-details-sdca-refs.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedMulticlassTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedMulticlassTrainer.xml index 5ea6bcdd3..1bac4efbe 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedMulticlassTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedMulticlassTrainer.xml @@ -49,9 +49,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SdcaRegressionTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/SdcaRegressionTrainer.xml index ebef8cc02..2baa269fd 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SdcaRegressionTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SdcaRegressionTrainer.xml @@ -44,9 +44,9 @@ [!include[references](~/../docs/samples/docs/api-reference/algo-details-sdca-refs.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SgdCalibratedTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/SgdCalibratedTrainer.xml index 359194997..2612f2d59 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SgdCalibratedTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SgdCalibratedTrainer.xml @@ -40,9 +40,9 @@ [!include[io](~/../docs/samples/docs/api-reference/algo-details-sgd.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SgdNonCalibratedTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/SgdNonCalibratedTrainer.xml index 09f0d24e5..8738de803 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SgdNonCalibratedTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SgdNonCalibratedTrainer.xml @@ -38,9 +38,9 @@ [!include[io](~/../docs/samples/docs/api-reference/algo-details-sgd.md)] ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Trainers/SymbolicSgdLogisticRegressionBinaryTrainer.xml b/dotnet/xml/Microsoft.ML.Trainers/SymbolicSgdLogisticRegressionBinaryTrainer.xml index f141c13fd..124727e43 100644 --- a/dotnet/xml/Microsoft.ML.Trainers/SymbolicSgdLogisticRegressionBinaryTrainer.xml +++ b/dotnet/xml/Microsoft.ML.Trainers/SymbolicSgdLogisticRegressionBinaryTrainer.xml @@ -51,9 +51,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms.Text/TextFeaturizingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms.Text/TextFeaturizingEstimator.xml index 540a3fb1c..7b4069a55 100644 --- a/dotnet/xml/Microsoft.ML.Transforms.Text/TextFeaturizingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms.Text/TextFeaturizingEstimator.xml @@ -48,8 +48,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms.Text/WordBagEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms.Text/WordBagEstimator.xml index 55f823165..08d67c0f8 100644 --- a/dotnet/xml/Microsoft.ML.Transforms.Text/WordBagEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms.Text/WordBagEstimator.xml @@ -40,8 +40,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms.Text/WordEmbeddingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms.Text/WordEmbeddingEstimator.xml index 8cedabcc4..b32dbb323 100644 --- a/dotnet/xml/Microsoft.ML.Transforms.Text/WordEmbeddingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms.Text/WordEmbeddingEstimator.xml @@ -48,8 +48,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms.Text/WordHashBagEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms.Text/WordHashBagEstimator.xml index 3fce04c9c..9d06e6361 100644 --- a/dotnet/xml/Microsoft.ML.Transforms.Text/WordHashBagEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms.Text/WordHashBagEstimator.xml @@ -40,8 +40,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/ColumnSelectingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/ColumnSelectingEstimator.xml index 2e152dc64..1e794ee43 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/ColumnSelectingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/ColumnSelectingEstimator.xml @@ -41,9 +41,9 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/CountFeatureSelectingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/CountFeatureSelectingEstimator.xml index d7ea211df..b9817eae0 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/CountFeatureSelectingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/CountFeatureSelectingEstimator.xml @@ -61,8 +61,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/FeatureContributionCalculatingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/FeatureContributionCalculatingEstimator.xml index b8db167e0..4f363d703 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/FeatureContributionCalculatingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/FeatureContributionCalculatingEstimator.xml @@ -79,8 +79,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/HashingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/HashingEstimator.xml index aa1d9ffbb..22ae91682 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/HashingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/HashingEstimator.xml @@ -35,8 +35,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/KeyToValueMappingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/KeyToValueMappingEstimator.xml index 7976a6572..b08810c07 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/KeyToValueMappingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/KeyToValueMappingEstimator.xml @@ -33,8 +33,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/KeyToVectorMappingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/KeyToVectorMappingEstimator.xml index 412c64df3..6189add8a 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/KeyToVectorMappingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/KeyToVectorMappingEstimator.xml @@ -36,8 +36,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/MissingValueIndicatorEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/MissingValueIndicatorEstimator.xml index 247325059..1479e1470 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/MissingValueIndicatorEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/MissingValueIndicatorEstimator.xml @@ -35,8 +35,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/MissingValueReplacingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/MissingValueReplacingEstimator.xml index 3b9f9d363..ac4e8f1ae 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/MissingValueReplacingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/MissingValueReplacingEstimator.xml @@ -37,8 +37,8 @@ Check the See Also section for links of usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/MutualInformationFeatureSelectingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/MutualInformationFeatureSelectingEstimator.xml index 18ce498f2..37bbd8465 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/MutualInformationFeatureSelectingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/MutualInformationFeatureSelectingEstimator.xml @@ -65,8 +65,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/OneHotEncodingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/OneHotEncodingEstimator.xml index 34a2092a2..8f1d878ab 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/OneHotEncodingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/OneHotEncodingEstimator.xml @@ -65,8 +65,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/OneHotHashEncodingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/OneHotHashEncodingEstimator.xml index a81eb32b7..7c254fc10 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/OneHotHashEncodingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/OneHotHashEncodingEstimator.xml @@ -64,8 +64,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/TensorFlowModel.xml b/dotnet/xml/Microsoft.ML.Transforms/TensorFlowModel.xml index 2f2b6014e..b413719de 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/TensorFlowModel.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/TensorFlowModel.xml @@ -173,8 +173,8 @@ - The name of the requested model output. The data type is a vector of The name of the model input. The data type is a vector of . + The name of the requested model output. The data type is a vector of Add a batch dimension to the input e.g. input = [224, 224, 3] => [-1, 224, 224, 3]. This parameter is used to deal with models that have unknown shape but the internal operators in the model require data to have batch dimension as well. @@ -209,8 +209,8 @@ - The names of the requested model outputs. The names of the model inputs. + The names of the requested model outputs. Add a batch dimension to the input e.g. input = [224, 224, 3] => [-1, 224, 224, 3]. This parameter is used to deal with models that have unknown shape but the internal operators in the model require data to have batch dimension as well. diff --git a/dotnet/xml/Microsoft.ML.Transforms/TypeConvertingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/TypeConvertingEstimator.xml index a11450241..73b1bef48 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/TypeConvertingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/TypeConvertingEstimator.xml @@ -34,8 +34,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML.Transforms/ValueToKeyMappingEstimator.xml b/dotnet/xml/Microsoft.ML.Transforms/ValueToKeyMappingEstimator.xml index 4d144c382..67c2bb5e7 100644 --- a/dotnet/xml/Microsoft.ML.Transforms/ValueToKeyMappingEstimator.xml +++ b/dotnet/xml/Microsoft.ML.Transforms/ValueToKeyMappingEstimator.xml @@ -48,8 +48,8 @@ Check the See Also section for links to usage examples. ]]> - + diff --git a/dotnet/xml/Microsoft.ML/ClusteringCatalog.xml b/dotnet/xml/Microsoft.ML/ClusteringCatalog.xml index f31f03e7b..2e73f95c3 100644 --- a/dotnet/xml/Microsoft.ML/ClusteringCatalog.xml +++ b/dotnet/xml/Microsoft.ML/ClusteringCatalog.xml @@ -84,9 +84,9 @@ The scored data. + The name of the score column in . The name of the optional label column in . If present, the metric will be computed. - The name of the score column in . The name of the optional features column in . If present, the metric will be computed. diff --git a/dotnet/xml/Microsoft.ML/CustomMappingCatalog.xml b/dotnet/xml/Microsoft.ML/CustomMappingCatalog.xml index df7508c07..8fb9014ef 100644 --- a/dotnet/xml/Microsoft.ML/CustomMappingCatalog.xml +++ b/dotnet/xml/Microsoft.ML/CustomMappingCatalog.xml @@ -215,8 +215,8 @@ The class defining which columns to take from the incoming data. - The class defining which new columns are added to the data. The type that describes per-cursor state. + The class defining which new columns are added to the data. The transform catalog. The mapping action. In addition to the input and output objects, the action is given a state object that it can look at and/or modify. If the resulting transformer needs to be save-able, the class defining should implement diff --git a/dotnet/xml/Microsoft.ML/FactorizationMachineExtensions.xml b/dotnet/xml/Microsoft.ML/FactorizationMachineExtensions.xml index f8014da2a..15c33c800 100644 --- a/dotnet/xml/Microsoft.ML/FactorizationMachineExtensions.xml +++ b/dotnet/xml/Microsoft.ML/FactorizationMachineExtensions.xml @@ -75,8 +75,8 @@ The binary classification catalog trainer object. - The name of the feature column. The column data must be a known-sized vector of . The name of the label column. The column data must be . + The name of the feature column. The column data must be a known-sized vector of . The name of the example weight column (optional). Create , which predicts a target using a field-aware factorization machine trained over boolean label data. @@ -114,8 +114,8 @@ The binary classification catalog trainer object. - The names of the feature columns. The column data must be a known-sized vector of . The name of the label column. The column data must be . + The names of the feature columns. The column data must be a known-sized vector of . The name of the example weight column (optional). Create , which predicts a target using a field-aware factorization machine trained over boolean label data. diff --git a/dotnet/xml/Microsoft.ML/ImageEstimatorsCatalog.xml b/dotnet/xml/Microsoft.ML/ImageEstimatorsCatalog.xml index 835281743..63dc594e4 100644 --- a/dotnet/xml/Microsoft.ML/ImageEstimatorsCatalog.xml +++ b/dotnet/xml/Microsoft.ML/ImageEstimatorsCatalog.xml @@ -195,9 +195,9 @@ The transform's catalog. Name of the column resulting from the transformation of . This column's data type will be . - Folder where to look for images. Name of the column with paths to the images to load. This estimator operates over text data. + Folder where to look for images. Create a , which loads the data from the column specified in as an image to a new column: . @@ -235,9 +235,9 @@ The transform's catalog. Name of the column resulting from the transformation of . This column's data type will be . - Folder where to look for images. Name of the column with paths to the images to load. This estimator operates over text data. + Folder where to look for images. Create a , which loads the data from the column specified in as an image of raw bytes to a new column: . @@ -278,10 +278,10 @@ The transform's catalog. Name of the column resulting from the transformation of . This column's data type will be the same as that of the input column. - The transformed image width. - The transformed image height. Name of the column with images. This estimator operates over . + The transformed image width. + The transformed image height. The type of image resizing as specified in . Where to place the anchor, to start cropping. Options defined in diff --git a/dotnet/xml/Microsoft.ML/StandardTrainersCatalog.xml b/dotnet/xml/Microsoft.ML/StandardTrainersCatalog.xml index e8c00da8b..a5aca27d0 100644 --- a/dotnet/xml/Microsoft.ML/StandardTrainersCatalog.xml +++ b/dotnet/xml/Microsoft.ML/StandardTrainersCatalog.xml @@ -168,11 +168,11 @@ The name of the label column. The column data must be . The name of the feature column. The column data must be a known-sized vector of . The name of the example weight column (optional). + Enforce non-negative weights. The L1 regularization hyperparameter. Higher values will tend to lead to more sparse model. The L2 weight for regularization. - Threshold for optimizer convergence. Memory size for . Low=faster, less accurate. - Enforce non-negative weights. + Threshold for optimizer convergence. Create , which predicts a target using a linear binary classification model trained over boolean label data. @@ -248,11 +248,11 @@ The name of the label column. The column data must be . The name of the feature column. The column data must be a known-sized vector of . The name of the example weight column (optional). + Enforce non-negative weights. The L1 regularization hyperparameter. Higher values will tend to lead to more sparse model. The L2 weight for regularization. - Threshold for optimizer convergence. Memory size for . Low=faster, less accurate. - Enforce non-negative weights. + Threshold for optimizer convergence. Create , which predicts a target using a maximum entropy classification model trained with the L-BFGS method. @@ -567,9 +567,9 @@ The type of the model. This type parameter will usually be inferred automatically from . The multiclass classification catalog trainer object. An instance of a binary used as the base trainer. + The calibrator. If a calibrator is not explicitly provided, it will default to The name of the label column. Whether to treat missing labels as having negative labels, instead of keeping them missing. - The calibrator. If a calibrator is not explicitly provided, it will default to Number of instances to train the calibrator. Use probabilities (vs. raw outputs) to identify top-score category. @@ -702,9 +702,9 @@ The type of the model. This type parameter will usually be inferred automatically from . The multiclass classification catalog trainer object. An instance of a binary used as the base trainer. + The calibrator. If a calibrator is not explicitly provided, it will default to The name of the label column. Whether to treat missing labels as having negative labels, instead of keeping them missing. - The calibrator. If a calibrator is not explicitly provided, it will default to Number of instances to train the calibrator. Create a , which predicts a multiclass target using pairwise coupling strategy with diff --git a/dotnet/xml/Microsoft.ML/TextCatalog.xml b/dotnet/xml/Microsoft.ML/TextCatalog.xml index 8d904662b..476e8b053 100644 --- a/dotnet/xml/Microsoft.ML/TextCatalog.xml +++ b/dotnet/xml/Microsoft.ML/TextCatalog.xml @@ -82,9 +82,9 @@ The text-related transform's catalog. + The path of the pre-trained embeddings model to use. Name of the column resulting from the transformation of . This column's data type will be a vector of . - The path of the pre-trained embeddings model to use. Name of the column to transform. If set to , the value of the will be used as source. This estimator operates over known-size vector of text data type. @@ -589,15 +589,15 @@ + To be added. + To be added. + To be added. The transform's catalog. Name of the column resulting from the transformation of . This column's data type will be known-size vector of . - To be added. - To be added. Name of the column to take the data from. Maximum number of n-grams to store in the dictionary.Separator used to separate terms/frequency pairs.Separator used to separate terms from their frequency. This estimator operates over vector of text. - To be added. Create a , which maps the column specified in to a vector of n-gram counts in a new column named . diff --git a/dotnet/xml/Microsoft.ML/TimeSeriesCatalog.xml b/dotnet/xml/Microsoft.ML/TimeSeriesCatalog.xml index ae9d0d960..a81043ebc 100644 --- a/dotnet/xml/Microsoft.ML/TimeSeriesCatalog.xml +++ b/dotnet/xml/Microsoft.ML/TimeSeriesCatalog.xml @@ -48,6 +48,7 @@ + The size of sliding window to generate a saliency map for the series. No more than , usually keep default value. The transform's catalog. Name of the column resulting from the transformation of . The column data is a vector of . The vector contains 3 elements: alert (1 means anomaly while 0 means normal), raw score, and magnitude of spectual residual. @@ -56,7 +57,6 @@ The number of points to add back of training window. No more than , usually keep default value. The number of pervious points used in prediction. No more than , usually keep default value. The size of sliding window to generate a saliency map for the series. No more than , usually keep default value. - The size of sliding window to generate a saliency map for the series. No more than , usually keep default value. The size of sliding window to calculate the anomaly score for each data point. No more than . The threshold to determine anomaly, score larger than the threshold is considered as anomaly. Should be in (0,1) @@ -104,8 +104,8 @@ Name of column to transform. The column data must be . If set to , the value of the will be used as source. The confidence for change point detection in the range [0, 100]. - The size of the sliding window for computing the p-value. The number of points from the beginning of the sequence used for training. + The size of the sliding window for computing the p-value. An upper bound on the largest relevant seasonality in the input time-series. The function used to compute the error between the expected and the observed value. The martingale used for scoring. @@ -162,8 +162,8 @@ Name of column to transform. The column data must be . If set to , the value of the will be used as source. The confidence for change point detection in the range [0, 100]. - The size of the sliding window for computing the p-value. The number of points from the beginning of the sequence used for training. + The size of the sliding window for computing the p-value. An upper bound on the largest relevant seasonality in the input time-series. The function used to compute the error between the expected and the observed value. The martingale used for scoring. diff --git a/dotnet/xml/Microsoft.ML/TreeExtensions.xml b/dotnet/xml/Microsoft.ML/TreeExtensions.xml index 51283ccd0..9390e17f1 100644 --- a/dotnet/xml/Microsoft.ML/TreeExtensions.xml +++ b/dotnet/xml/Microsoft.ML/TreeExtensions.xml @@ -115,8 +115,8 @@ The name of the label column. The column data must be . The name of the feature column. The column data must be a known-sized vector of . The name of the example weight column (optional). - The maximum number of leaves per decision tree. Total number of decision trees to create in the ensemble. + The maximum number of leaves per decision tree. The minimal number of data points required to form a new tree leaf. Create , which predicts a target using a decision tree regression model. @@ -301,8 +301,8 @@ The name of the label column. The column data must be . The name of the feature column. The column data must be a known-sized vector of . The name of the example weight column (optional). - The maximum number of leaves per decision tree. Total number of decision trees to create in the ensemble. + The maximum number of leaves per decision tree. The minimal number of data points required to form a new tree leaf. The learning rate. @@ -346,8 +346,8 @@ The name of the label column. The column data must be . The name of the feature column. The column data must be a known-sized vector of . The name of the example weight column (optional). - The maximum number of leaves per decision tree. Total number of decision trees to create in the ensemble. + The maximum number of leaves per decision tree. The minimal number of data points required to form a new tree leaf. The learning rate. @@ -393,8 +393,8 @@ The name of the feature column. The column data must be a known-sized vector of . The name of the group column. The name of the example weight column (optional). - The maximum number of leaves per decision tree. Total number of decision trees to create in the ensemble. + The maximum number of leaves per decision tree. The minimal number of data points required to form a new tree leaf. The learning rate. @@ -471,8 +471,8 @@ The name of the label column. The column data must be . The name of the feature column. The column data must be a known-sized vector of . The name of the example weight column (optional). - The maximum number of leaves per decision tree. Total number of decision trees to create in the ensemble. + The maximum number of leaves per decision tree. The minimal number of data points required to form a new tree leaf. The learning rate. diff --git a/dotnet/xml/PackageInformation/ml-dotnet-preview.json b/dotnet/xml/PackageInformation/ml-dotnet-preview.json index 7c17fc135..2894fa892 100644 --- a/dotnet/xml/PackageInformation/ml-dotnet-preview.json +++ b/dotnet/xml/PackageInformation/ml-dotnet-preview.json @@ -1 +1 @@ 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