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
It supports
- Mutual information (MI) estimation for discrete-continuous mixtures
- Feature selection algorithms based on MI
- Markov random field structure learning algorithms
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
depynd-0.4.5.tar.gz
(7.3 kB
view hashes)
