MaskedZeroToOne

class aixd.data.transform.MaskedZeroToOne(per_column=True, scale_inverse_masked: bool = True)[source]

Implements the zero-to-one (or min-max) normalization as (x - min) / (max - min) for DataObject’s with a MaskedInterval domain.

Parameters:: per_column (bool, default=True) – If set normalization is performed per column for multi-dim DataObjects.

Inherited Methods

`copy`	Copies the transformation.
`fit`	Fits the transformation.
`fit_transform`	Fits and transforms the input.
`inverse_transform`	Inverse transform of the input.
`is_fitted`	Returns true if transformation strategy is fitted.
`reset`	Method to implement to reset fitted values.
`transform`	Transforms the input.