MinMax

class reservoirflow.scalers.MinMax(output_range: tuple, input_range: tuple | None = None)

Bases: Scaler

MinMax scaler class.

This scaler is used to scale input data based on output_range=(min,max). If input_range is set to None instead of input_range=(min,max), then input_range is inferred based on input data.

Hint

Using input_range=(min,max) is useful in some cases to match the scaling with other solutions when input_range can’t be inferred from input data (e.g. unstable solution).

Note

Note that if the input array has multiple feature each with its own range (not unified), then using input_range=None is required to infer input_range for each feature.

Returns:

Scaler object.

Return type:

Scaler

Construct scaler object.

Parameters:

• output_range (tuple, optional) – output range used in the transformation.

• input_range (tuple, optional) – input range used in the transformation.

Attributes

name	Class name.

Methods

fit(v[, axis])	Fit scaler with input values.
fit_transform(v[, axis])	Fit scaler and transform input based on output range.
inverse_transform(vbar)	Transform input back to the original (input) range.
set_output_range(output_range)	Set output range for the scaler.
transform(v)	Transform input based on output range.

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