depynd
- evaluating dependencies among random variablesΒΆ
depynd
is a Python library for evaluating dependencies among random variables from data. It supports learning
statistical dependencies for one-to-one, one-to-many, and many-to-many relationships, where each one corresponds to
depynd.information
: mutual information (MI) estimation,depynd.feature_selection
: feature selection, anddepynd.markov_networks
: Markov network structure learning,
respectively. Specifically, depynd
supports MI estimation for discrete-continuous mixtures, MI-based feature
selection, and structure learning of Markov networks (a.k.a. Markov random fields).