MillerMadowEntropyEstimator

class infomeasure.estimators.entropy.MillerMadowEntropyEstimator(*args, **kwargs)

Bases: DiscreteHEstimator

Discrete Miller-Madow entropy estimator.

\[\hat{H}_{\tiny{MM}} = \hat{H}_{\tiny{MLE}} + \frac{K - 1}{2N}\]

\(\hat{H}_{\tiny{MM}}\) is the Miller-Madow entropy, where \(\hat{H}_{\tiny{MLE}}\) is the maximum likelihood entropy (DiscreteEntropyEstimator). \(K\) is the number of unique values in the data, and \(N\) is the number of observations.

Attributes:

*dataarray_like

The data used to estimate the entropy.