verticapy.machine_learning.vertica.automl.AutoDataPrep.fit#
- AutoDataPrep.fit(input_relation: str | vDataFrame, X: str | list[str] | None = None, ts: str | None = None, by: str | list[str] | None = None, return_report: bool = False) None #
Trains the model.
Parameters#
- input_relation: SQLRelation
Training Relation.
- X: SQLColumns, optional
List of the features to preprocess.
- ts: str, optional
Time series vDataColumn used to order the data. The vDataColumn type must be date-like (date, datetime, timestamp…).
- by: SQLColumns, optional
vDataColumns used in the partition.