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        "description": "# Distributions\n\n[![Build Status](https://travis-ci.org/posterior/distributions.svg?branch=master)](https://travis-ci.org/posterior/distributions)\n[![Latest Version](https://badge.fury.io/py/distributions.svg)](https://pypi.python.org/pypi/distributions)\n[![DOI](https://zenodo.org/badge/29212688.svg)](https://zenodo.org/badge/latestdoi/29212688)\n\nDistributions provides low-level primitives for\ncollapsed Gibbs sampling in Python and C++ including:\n\n* special numerical functions,\n* samplers and density functions from a variety of distributions,\n* conjugate component models (e.g., gamma-Poisson, normal-inverse-chi-squared),\n* clustering models (e.g., CRP, Pitman-Yor), and\n* efficient wrappers for mixture models.\n\nDistributions powered a machine-learning-as-a-service for Prior Knowledge Inc.,\nand now powers machine learning infrastructure at Salesforce.com.\n\n\n## Installation\n\nFor python-only support (no C++) you can install with pip:\n\n    pip install distributions\n\nFor help with other builds, see\n[the installation documentation](http://distributions.readthedocs.org/en/latest/installation.html).\n\n\n## Documentation\n\nThe official documentation lives at http://distributions.readthedocs.org/.\n\nBranch-specific documentation lives at\n\n* [Overview](/doc/overview.rst)\n* [Installation](/doc/installation.rst)\n\n\n## Authors (alphabetically)\n\n* Jonathan Glidden <https://twitter.com/jhglidden>\n* Eric Jonas <https://twitter.com/stochastician>\n* Fritz Obermeyer <https://github.com/fritzo>\n* Cap Petschulat <https://github.com/cap>\n* Stephen Tu <https://github.com/stephentu>\n\n## License\n\nCopyright (c) 2014 Salesforce.com, Inc. All rights reserved.\n\nLicensed under the Revised BSD License. See [LICENSE.txt](LICENSE.txt)\nfor details.\n",
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