Kullback-Leibler projections for Bayesian model selection.
Project description
kulprit
(Pronounced: kuːl.prɪt)
Kullback-Leibler projections for Bayesian model selection in Python.
Installation
Currently, this package is only available for download directly from GitHub with the command
pip install git+https://github.com/bambinos/kulprit.git
Documentation
The Kulprit documentation can be found in the official docs
Development
Read our development guide in CONTRIBUTING.md.
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
kulprit-0.0.1.tar.gz
(15.9 kB
view hashes)
Built Distribution
Close
Hashes for kulprit-0.0.1-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 908f84aad09ecc53cff6f2b2a17d117f4d484600e9afea68f144087ec5a84188 |
|
MD5 | 892488510c9bb41506823bc4d40a21d8 |
|
BLAKE2b-256 | c5d92049f34fbc22017231c0711c1e09dc5e124f53f3f82b2569dab20632cb05 |