Metadata-Version: 1.0
Name: depynd
Version: 0.4.7
Summary: Evaluating dependencies among random variables.
Home-page: https://github.com/y-takashina/depynd
Author: Yuya Takashina
Author-email: takashina2051@gmail.com
License: UNKNOWN
Description: 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
        
        - mutual information (MI) estimation,
        - feature selection, and
        - graphical model structure learning,
        
        respectively. depynd supports MI estimation for discrete-continuous mixtures, MI-based feature selection, and
        structure learning of undirected graphical models (a.k.a. Markov random fields).
Platform: UNKNOWN
