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link to sql reference
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  • bigframes/bigquery/_operations

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bigframes/bigquery/_operations/ml.py

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@@ -52,6 +52,10 @@ def create_model(
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"""
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Creates a BigQuery ML model.
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See the `BigQuery ML CREATE MODEL DDL syntax
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<https://docs.cloud.google.com/bigquery/docs/reference/standard-sql/bigqueryml-syntax-create>`_
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for additional reference.
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Args:
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model_name (str):
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The name of the model in BigQuery.
@@ -69,16 +73,16 @@ def create_model(
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The connection to use for the model.
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options (Mapping[str, Union[str, int, float, bool, list]], optional):
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The OPTIONS clause, which specifies the model options.
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training_data (Union[dataframe.DataFrame, str], optional):
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training_data (Union[bigframes.pandas.DataFrame, str], optional):
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The query or DataFrame to use for training the model.
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custom_holiday (Union[dataframe.DataFrame, str], optional):
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custom_holiday (Union[bigframes.pandas.DataFrame, str], optional):
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The query or DataFrame to use for custom holiday data.
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session (bigframes.session.Session, optional):
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The BigFrames session to use. If not provided, the default session is used.
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The session to use. If not provided, the default session is used.
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Returns:
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bigframes.ml.base.BaseEstimator:
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The created BigFrames model.
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The created BigQuery ML model.
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"""
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import bigframes.pandas as bpd
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