Evaluating dependencies among random variables.
Project 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. 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).
Project details
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-0.6.4.tar.gz
(8.8 kB
view details)
File details
Details for the file depynd-0.6.4.tar.gz
.
File metadata
- Download URL: depynd-0.6.4.tar.gz
- Upload date:
- Size: 8.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: 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
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 |
cc1579c1b270bb12b36045190cdca4bb36025c99c93d7f888d5a1c838be2a054
|
|
MD5 |
ba6dae5df5a112df77e05caf65af8328
|
|
BLAKE2b-256 |
9f864fe2e7c715097775572ed466e979fef2bab92792947c3b469aa05d8e8506
|