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        "author": "Michael Ekstrand",
        "author_email": "michaelekstrand@boisestate.edu",
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            "Development Status :: 4 - Beta",
            "Intended Audience :: Science/Research",
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            "Programming Language :: Python :: 3",
            "Topic :: Scientific/Engineering :: Artificial Intelligence"
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        "description": "# Python recommendation tools\n\n[![Build Status](https://dev.azure.com/md0553/md/_apis/build/status/lenskit.lkpy)](https://dev.azure.com/md0553/md/_build/latest?definitionId=1)\n[![codecov](https://codecov.io/gh/lenskit/lkpy/branch/master/graph/badge.svg)](https://codecov.io/gh/lenskit/lkpy)\n[![Maintainability](https://api.codeclimate.com/v1/badges/c02098c161112e19c148/maintainability)](https://codeclimate.com/github/lenskit/lkpy/maintainability)\n\nLensKit is a set of Python tools for experimenting with and studying recommender\nsystems.  It provides support for training, running, and evaluating recommender\nalgorithms in a flexible fashion suitable for research and education.\n\nPython LensKit (LKPY) is the successor to the Java-based LensKit project.\n\n## Installing\n\nTo install the current release with Anaconda (recommended):\n\n    conda install -c lenskit lenskit\n\nOr you can use `pip`:\n\n    pip install lenskit\n\nTo use the latest development version, install directly from GitHub:\n\n    pip install -U git+https://github.com/lenskit/lkpy\n\nThen see [Getting Started](https://lkpy.lenskit.org/en/latest/GettingStarted.html)\n\n## Resources\n\n- [Documentation](https://lkpy.lenskit.org)\n- [Mailing list, etc.](https://lenskit.org/connect)",
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