Skip to main content

# Distributions

[![Build Status](https://travis-ci.org/posterior/distributions.svg?branch=master)](https://travis-ci.org/posterior/distributions) [![Latest Version](https://badge.fury.io/py/distributions.svg)](https://pypi.python.org/pypi/distributions) [![DOI](https://zenodo.org/badge/29212688.svg)](https://zenodo.org/badge/latestdoi/29212688)

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)

## License

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

Licensed under the Revised BSD License. See [LICENSE.txt](LICENSE.txt) for details.

Metadata

Release files for distributions 2.2.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for distributions 2.2.1
File Size Uploaded Provenance
distributions-2.2.1.tar.gz 1.5 MB Without provenance Details

Release files / distributions-2.2.1.tar.gz

Download URL distributions-2.2.1.tar.gz
Size 1.5 MB
Tags Source
SHA-256 checksum
How to use checksums
615361674ddc5f0baa40b0262d0c923a03ab892acc21ff27a4a7549a83bf8194
BLAKE2b-256 checksum
How to use checksums
816add6d0bd96b2d30495e6bbe5ec45e3d4a33db3f9045ded939110c25063e8c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No

Security for distributions 2.2.1

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page