Mutual Information Estimators

infomeasure.estimators.mutual_information Package

Classes

DiscreteMIEstimator(*data[, cond, offset, base])	Estimator for the discrete mutual information.
DiscreteCMIEstimator(*data[, cond, offset, base])	Estimator for the discrete conditional mutual information.
KernelMIEstimator(*data[, cond, bandwidth, ...])	Estimator for mutual information using Kernel Density Estimation (KDE).
KernelCMIEstimator(*data[, cond, bandwidth, ...])	Estimator for conditional mutual information using Kernel Density Estimation (KDE).
KSGMIEstimator(*data[, cond, k, ...])	Estimator for mutual information using the Kraskov-Stoegbauer-Grassberger (KSG) method.
KSGCMIEstimator(*data[, cond, k, ...])	Estimator for conditional mutual information using the Kraskov-Stoegbauer-Grassberger (KSG) method.
RenyiMIEstimator(*data[, cond, k, alpha, ...])	Estimator for the Renyi mutual information.
RenyiCMIEstimator(*data[, cond, k, alpha, ...])	Estimator for the conditional Renyi mutual information.
OrdinalMIEstimator(*data[, cond, ...])	Estimator for the Ordinal mutual information.
OrdinalCMIEstimator(*args, **kwargs)	Estimator for the Ordinal conditional mutual information.
TsallisMIEstimator(*data[, cond, k, q, ...])	Estimator for the Tsallis mutual information.
TsallisCMIEstimator(*data[, cond, k, q, ...])	Estimator for the conditional Tsallis mutual information.

Class Inheritance Diagram