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
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| depynd-0.6.4.tar.gz | 8.8 kB | Details |
Release files / depynd-0.6.4.tar.gz
| Download URL | depynd-0.6.4.tar.gz |
|---|---|
| Size | 8.8 kB |
| Tags | Source |
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twine/1.11.0 pkginfo/1.4.2 requests/2.14.2 setuptools/27.2.0 requests-toolbelt/0.8.0 tqdm/4.23.4 CPython/3.6.1
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