Module imported (1.29.0)

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Imported models.

Classes

ONNXModel

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.

TensorFlowModel

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.

XGBoostModel

XGBoostModel(
    model_path: str,
    *,
    input: typing.Mapping[str, str] = {},
    output: typing.Mapping[str, str] = {},
    session: typing.Optional[bigframes.session.Session] = None
)

Imported XGBoost model.

Warning: Imported XGBoost models have the several limitations. See: https://cloud.google.com/bigquery/docs/reference/standard-sql/bigqueryml-syntax-create-xgboost#limitations

Parameters
Name	Description
model_path	str Cloud Storage path that holds the model files.
input	Dict, default None Specify the model input schema information when you create the XGBoost model. The input should be the format of {field_name: field_type}. Input is optional only if feature_names and feature_types are both specified in the model file. Supported types are "bool", "string", "int64", "float64", "array
output	Dict, default None Specify the model output schema information when you create the XGBoost model. The input should be the format of {field_name: field_type}. Output is optional only if feature_names and feature_types are both specified in the model file. Supported types are "bool", "string", "int64", "float64", "array
session	BigQuery Session BQ session to create the model.