Distributions provides low-level primitives for Bayesian MCMC inference 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.

distributions with pip:

pip install distributions

For help with other builds, see the installation documentation.

The official documentation lives at http://distributions.readthedocs.org/.

Branch-specific documentation lives at

• Overview
• Installation

• Jonathan Glidden https://twitter.com/jhglidden
• Eric Jonas https://twitter.com/stochastician
• Fritz Obermeyer https://github.com/fritzo
• Cap Petschulat https://github.com/cap

Copyright (c) 2014 Salesforce.com, Inc. All rights reserved.

Licensed under the Revised BSD License. See LICENSE.txt for details.