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ONNXModel(
    model_path: str, *, session: typing.Optional[bigframes.session.Session] = None
)Imported Open Neural Network Exchange (ONNX) model.
Parameters | 
      |
|---|---|
| Name | Description | 
model_path | 
        
  	str
  	Cloud Storage path that holds the model files.  | 
      
session | 
        
  	BigQuery Session
  	BQ session to create the model.  | 
      
Methods
__repr__
__repr__()Print the estimator's constructor with all non-default parameter values.
get_params
get_params(deep: bool = True) -> typing.Dict[str, typing.Any]Get parameters for this estimator.
| Parameter | |
|---|---|
| Name | Description | 
deep | 
        
          bool, default True
          Default   | 
      
| Returns | |
|---|---|
| Type | Description | 
Dictionary | 
        A dictionary of parameter names mapped to their values. | 
predict
predict(
    X: typing.Union[
        bigframes.dataframe.DataFrame,
        bigframes.series.Series,
        pandas.core.frame.DataFrame,
        pandas.core.series.Series,
    ]
) -> bigframes.dataframe.DataFramePredict the result from input DataFrame.
| Parameter | |
|---|---|
| Name | Description | 
X | 
        
          bigframes.dataframe.DataFrame or bigframes.series.Series or pandas.core.frame.DataFrame or pandas.core.series.Series
          Input DataFrame or Series. Schema is defined by the model.  | 
      
| Returns | |
|---|---|
| Type | Description | 
bigframes.dataframe.DataFrame | 
        Output DataFrame, schema is defined by the model. | 
register
register(vertex_ai_model_id: typing.Optional[str] = None) -> bigframes.ml.base._TRegister the model to Vertex AI.
After register, go to the Google Cloud console (https://console.cloud.google.com/vertex-ai/models) to manage the model registries. Refer to https://cloud.google.com/vertex-ai/docs/model-registry/introduction for more options.
| Parameter | |
|---|---|
| Name | Description | 
vertex_ai_model_id | 
        
          Optional[str], default None
          Optional string id as model id in Vertex. If not set, will default to 'bigframes_{bq_model_id}'. Vertex Ai model id will be truncated to 63 characters due to its limitation.  | 
      
to_gbq
to_gbq(model_name: str, replace: bool = False) -> bigframes.ml.imported.ONNXModelSave the model to BigQuery.
| Parameters | |
|---|---|
| Name | Description | 
model_name | 
        
          str
          The name of the model.  | 
      
replace | 
        
          bool, default False
          Determine whether to replace if the model already exists. Default to False.  | 
      
| Returns | |
|---|---|
| Type | Description | 
ONNXModel | 
        Saved model. |