KernelEntropyEstimator

class infomeasure.estimators.entropy.KernelEntropyEstimator(*data, bandwidth: float | int, kernel: str, workers: int = 1, base: int | float | str = 'e')

Bases: WorkersMixin, EntropyEstimator

Estimator for entropy (Shannon) using Kernel Density Estimation (KDE).

Attributes:

*dataarray_like

The data used to estimate the entropy.

bandwidthfloat | int

The bandwidth for the kernel.

kernelstr

Type of kernel to use, compatible with the KDE implementation kde_probability_density_function().

workersint, optional

Number of workers to use for parallel processing. Default is 1, meaning no parallel processing. If set to -1, all available CPU cores will be used.

Notes

A small bandwidth can lead to under-sampling, while a large bandwidth may over-smooth the data, obscuring details.