vastorbit.machine_learning.vast.automl.AutoDataPrep.fit

AutoDataPrep.fit(input_relation: Annotated[str | VastFrame, ''], X: Annotated[str | list[str], 'STRING representing one column or a list of columns'] | None = None, ts: str | None = None, by: 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, optional) – List of the features to preprocess.

• ts (str, optional) – Time series VastColumn used to order the data. The VastColumn type must be date-like (date, datetime, timestamp…).

• by (SQLColumns, optional) – VastColumns used in the partition.