Note

This is the documentation for the current state of the development branch of Qiskit Experiments. The documentation or APIs here can change prior to being released.

MinMaxNormalize

class MinMaxNormalize(validate=True)[source]

Normalizes the data.

Create new node.

Parameters:

validate (bool) – If set to False the DataAction will not validate its input.

Methods

__call__(data)

Call the data action of this node on the data.

Parameters:

data (ndarray) – A numpy array with arbitrary dtype. If the elements are ufloat objects consisting of a nominal value and a standard error, then the error propagation is done automatically.

Returns:

The processed data.

Return type:

ndarray