verticapy.machine_learning.vertica.pipeline.Pipeline.transform#
- Pipeline.transform(vdf: str | vDataFrame | None = None, X: str | list[str] | None = None) vDataFrame #
Applies the model on a vDataFrame.
Parameters#
- vdf: SQLRelation, optional
Input vDataFrame. You can also specify a customized relation, but you must enclose it with an alias. For example:
(SELECT 1) x
is valid whereas(SELECT 1)
and “SELECT 1” are invalid.- X: SQLColumns, optional
List of the input vDataColumns.
Returns#
- vDataFrame
object result of the model transformation.