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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. Specifically, 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).

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Release files for depynd 0.6.4

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Source distribution for depynd 0.6.4
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