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        "author": "MIT Probabilistic Computing Project",
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        "description": "# bdbcontrib\n\nA set of utilities for bayesdb.\n\n## Installing\n\nThe software in bdbcontrib requires:\n\n- [bayeslite >=0.1.2](http://probcomp.csail.mit.edu/bayesdb/)\n- [ipython notebook >=3](http://ipython.org/notebook.html)\n- [markdown2](https://pypi.python.org/pypi/markdown2)\n- [matplotlib](http://matplotlib.org/)\n- [numpy](http://www.numpy.org/)\n- [pandas](http://pandas.pydata.org/)\n- [scikit-learn](http://scikit-learn.org/)\n- [seaborn >=6](http://stanford.edu/~mwaskom/software/seaborn/)\n- [tornado >=4](http://www.tornadoweb.org/en/stable/)\n\nThe tests require:\n\n- [mock](https://pypi.python.org/pypi/mock)\n- [pillow](https://python-pillow.github.io/)\n- [pytest](http://pytest.org/)\n\nThe documentation requires:\n\n- [numpydoc](https://pypi.python.org/pypi/numpydoc)\n- [sphinx](sphinx-doc.org)\n\nIndividual parts of bdbcontrib may have slimmer dependencies, if you\nwant to pull them out for more limited purposes.\n\n## Test\n\nTo run the paltry automatic tests:\n\n```\n$ ./check.sh\n```\n\n## Install\n\nTo install system-wide, or into the current virtual environment:\n\n```\n$ python setup.py build\n$ python setup.py install\n```\n\n## Documentation\n\nThe python documentation is built using [sphinx](http://sphinx-doc.org/) and\n[numpydoc](https://pypi.python.org/pypi/numpydoc).\n\n```\n$ make doc\n```\n\n## Use\n\nIf you want the Python API, `import bdbcontrib.plot_utils`, &c.\n\nIf you are using the bayeslite shell, load the bayeslite shell\ncommands with:\n\n```\n.hook /path/to/bdbcontrib/hooks/hook_plotting.py\n```\n",
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        "license": "Apache License, Version 2.0",
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