inverse_transform()

ShiftScaleTransformer.inverse_transform(states_transformed, inplace: bool = False, locs=None)

Apply the inverse of the learned transformation.

Parameters:

states_transformed(n, …) or (p, …) ndarray

Matrix of n-dimensional transformed snapshots, or a single transformed snapshot.

inplacebool

If True, overwrite states_transformed during the inverse transformation. If False, create a copy of the data to untransform.

locsslice or (p,) ndarray of integers or None

If given, assume states_transformed contains the transformed snapshots at only the p indices described by locs.

Returns:

states_untransformed: (n, …) or (p, …) ndarray

Matrix of n-dimensional untransformed snapshots, or the p entries of such at the indices specified by locs.

Raises:

AttributeError

If the transformer is not ready because fit() or fit_transform() have not been called.

ValueError

If the states_transformed do not align with the locs (when provided) or the state_dimension (when locs is not provided).