Primitives for Bayesian MCMC inference
Project description
# Distributions [![Build Status](https://travis-ci.org/forcedotcom/distributions.svg?branch=master)](https://travis-ci.org/forcedotcom/distributions) [![Code Quality](http://img.shields.io/scrutinizer/g/forcedotcom/distributions.svg)](https://scrutinizer-ci.com/g/forcedotcom/distributions) [![Latest Version](https://badge.fury.io/py/distributions.svg)](https://pypi.python.org/pypi/distributions)
Distributions provides low-level primitives for collapsed Gibbs sampling in Python and C++ including:
special numerical functions,
samplers and density functions from a variety of distributions,
conjugate component models (e.g., gamma-Poisson, normal-inverse-chi-squared),
clustering models (e.g., CRP, Pitman-Yor), and
efficient wrappers for mixture models.
Distributions powered a machine-learning-as-a-service for Prior Knowledge Inc., and now powers machine learning infrastructure at Salesforce.com.
## Installation
For python-only support (no C++) you can install with pip:
pip install distributions
For help with other builds, see [the installation documentation](http://distributions.readthedocs.org/en/latest/installation.html).
## Documentation
The official documentation lives at http://distributions.readthedocs.org/.
Branch-specific documentation lives at
[Overview](/doc/overview.rst)
[Installation](/doc/installation.rst)
## Authors (alphabetically)
Jonathan Glidden <https://twitter.com/jhglidden>
Eric Jonas <https://twitter.com/stochastician>
Fritz Obermeyer <https://github.com/fritzo>
Cap Petschulat <https://github.com/cap>
Stephen Tu <https://github.com/stephentu>
## License
Copyright (c) 2014 Salesforce.com, Inc. All rights reserved.
Licensed under the Revised BSD License. See [LICENSE.txt](LICENSE.txt) for details.
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