Class TensorFlowModel (1.28.0) 

TensorFlowModel(
    model_path: str, *, session: typing.Optional[bigframes.session.Session] = None
)

Imported TensorFlow 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 True. If True, will return the parameters for this estimator and contained subobjects that are estimators.
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.DataFrame

Predict 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. 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._T

Register 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.TensorFlowModel

Save the model to BigQuery.

Parameters
Name Description
model_name str

The name of the model.
replace bool, default False

Default to False.
Returns
Type Description
TensorFlowModel Saved model.