DiscreteMIEstimator

class infomeasure.estimators.mutual_information.DiscreteMIEstimator(*data, cond=None, offset: int = 0, base: int | float | str = 'e', **kwargs)

Bases: BaseDiscreteMIEstimator, MutualInformationEstimator

Estimator for the discrete mutual information.

Attributes:

*dataarray_like, shape (n_samples,)

The data used to estimate the mutual information. You can pass an arbitrary number of data arrays as positional arguments.

offsetint, optional

Number of positions to shift the data arrays relative to each other. Delay/lag/shift between the variables. Default is no shift.