h

infomeasure.h(data, approach: str, *args, **kwargs: any)

Calculate the entropy using a functional interface of different estimators.

Supports the following approaches:

1. discrete: Discrete entropy estimator.

2. kernel: Kernel entropy estimator.

3. [metric, kl]: Kozachenko-Leonenko entropy estimator.

4. renyi: Renyi entropy estimator.

5. [ordinal, symbolic, permutation]: Ordinal / Permutation entropy estimator.

6. tsallis: Tsallis entropy estimator.

Parameters:

dataarray_like

The data used to estimate the entropy.

approachstr

The name of the estimator to use.

*args: tuple

Additional arguments to pass to the estimator.

**kwargs: dict

Additional keyword arguments to pass to the estimator.

Returns:

float

The calculated entropy.

Raises:

ValueError

If the estimator is not recognized.