MinMaxScaler

class aixd.data.transform.MinMaxScaler(target_range: tuple = (0, 1), per_column: bool = True)[source]

Bases: DataObjectTransform

Implements a min-max scaling of the data.

Parameters:
  • target_range (tuple, default=(0, 1)) – The target range for the scaling.

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

Methods

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.

Inherited Methods

copy

Copies the transformation.

fit

Fits the transformation.

fit_transform

Fits and transforms the input.