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verticapy.machine_learning.vertica.preprocessing.CountVectorizer.fit

CountVectorizer.fit(input_relation: Annotated[str | vDataFrame, ''], X: Annotated[str | list[str], 'STRING representing one column or a list of columns'] | None = None, return_report: bool = False) → None

Trains the model.

Parameters

input_relation: SQLRelation

Training relation.

X: SQLColumns

List of the predictors. If empty, all the

columns are used.