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Evaluating dependencies among random variables.

Project description

`depynd` is a Python library for learning dependencies between random variables from data.
It supports
- Mutual information (MI) estimation for discrete-continuous mixtures
- Feature selection algorithms based on MI
- Markov random field structure learning algorithms

Project details


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Files for depynd, version 0.4.5
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