diff --git a/dotnet/xml/FrameworksIndex/ml-dotnet-2.0.0.xml b/dotnet/xml/FrameworksIndex/ml-dotnet-2.0.0.xml
new file mode 100644
index 000000000..7deae98ad
--- /dev/null
+++ b/dotnet/xml/FrameworksIndex/ml-dotnet-2.0.0.xml
@@ -0,0 +1,3005 @@
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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 7555c4d0e..055038e34 100644
--- a/dotnet/xml/FrameworksIndex/ml-dotnet-preview.xml
+++ b/dotnet/xml/FrameworksIndex/ml-dotnet-preview.xml
@@ -65,6 +65,7 @@
+
@@ -115,6 +116,7 @@
+
@@ -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.
+
+