lale.lib.autogen.max_abs_scaler module¶

class lale.lib.autogen.max_abs_scaler.MaxAbsScaler(*, copy=True)¶

Combined schema for expected data and hyperparameters.

This documentation is auto-generated from JSON schemas.

Parameters: copy (boolean, default True) – Set to False to perform inplace scaling and avoid a copy (if the input is already a numpy array).

fit(X, y=None, **fit_params)¶

Train the operator.

Note: The fit method is not available until this operator is trainable.

Once this method is available, it will have the following signature:

Parameters: X (array of items : array of items : float) – The data used to compute the per-feature minimum and maximum used for later scaling along the features axis.

transform(X, y=None)¶

Transform the data.

Note: The transform method is not available until this operator is trained.

Once this method is available, it will have the following signature: