tabensemb.data.AbstractScaler.fit_transform

method

AbstractScaler.fit_transform(input_data: DataFrame, datamodule: DataModule) → DataFrame

Record feature names in the datamodule, fit the processor, and call _fit_transform() to transform the input data. This should be performed on the training set.

Parameters:

input_data:

A tabular dataset.

datamodule:

A DataModule instance that contains necessary information required by processors.

Returns:

pd.DataFrame

A transformed tabular dataset.