Class XGBoostModel (2.30.0)

Version latest

• 2.30.0 (latest)
• 2.29.0
• 2.28.0
• 2.27.0
• 2.26.0
• 2.25.0
• 2.24.0
• 2.23.0
• 2.22.0
• 2.21.0
• 2.20.0
• 2.19.0
• 2.18.0
• 2.17.0
• 2.16.0
• 2.15.0
• 2.14.0
• 2.13.0
• 2.12.0
• 2.11.0
• 2.10.0
• 2.9.0
• 2.8.0
• 2.7.0
• 2.6.0
• 2.5.0
• 2.4.0
• 2.3.0
• 2.2.0
• 1.36.0
• 1.35.0
• 1.34.0
• 1.33.0
• 1.32.0
• 1.31.0
• 1.30.0
• 1.29.0
• 1.28.0
• 1.27.0
• 1.26.0
• 1.25.0
• 1.24.0
• 1.22.0
• 1.21.0
• 1.20.0
• 1.19.0
• 1.18.0
• 1.17.0
• 1.16.0
• 1.15.0
• 1.14.0
• 1.13.0
• 1.12.0
• 1.11.1
• 1.10.0
• 1.9.0
• 1.8.0
• 1.7.0
• 1.6.0
• 1.5.0
• 1.4.0
• 1.3.0
• 1.2.0
• 1.1.0
• 1.0.0
• 0.26.0
• 0.25.0
• 0.24.0
• 0.23.0
• 0.22.0
• 0.21.0
• 0.20.1
• 0.19.2
• 0.18.0
• 0.17.0
• 0.16.0
• 0.15.0
• 0.14.1
• 0.13.0
• 0.12.0
• 0.11.0
• 0.10.0
• 0.9.0
• 0.8.0
• 0.7.0
• 0.6.0
• 0.5.0
• 0.4.0
• 0.3.0
• 0.2.0

XGBoostModel(
    model_path: str,
    *,
    input: typing.Optional[typing.Mapping[str, str]] = None,
    output: typing.Optional[typing.Mapping[str, str]] = None,
    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

Methods

XGBoostModel

XGBoostModel(
    model_path: str,
    *,
    input: typing.Optional[typing.Mapping[str, str]] = None,
    output: typing.Optional[typing.Mapping[str, str]] = None,
    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

__init__

__init__(model_path, *, input=None, output=None, session=None)

API documentation for __init__ method.

get_params

get_params(deep=True)

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)

Predict the result from input DataFrame.

Returns
Type	Description
bigframes.dataframe.DataFrame	Output DataFrame. Schema is defined by the model.

register

register(vertex_ai_model_id=None)

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, replace=False)

Save the model to BigQuery.

Returns
Type	Description
XGBoostModel	Saved model.