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        "author": "Meelis Kull, Peter Flach, Telmo de Menezes e Silva Filho, Miquel Perello Nieto",
        "author_email": "meelis.kull@gmail.com",
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        "classifiers": [
            "Development Status :: 4 - Beta",
            "Environment :: Console",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 3",
            "Topic :: Scientific/Engineering"
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        "description": "prg: R package for creating Precision-Recall-Gain curves and calculating area under the curve\n=============================================================================================\n\nWhat are the Precision-Recall-Gain curves?\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nPlease see http://www.cs.bris.ac.uk/~flach/PRGcurves/.\n\nContents\n~~~~~~~~\n\nThis package provides the following 6 functions:\n\n::\n\n    precision_gain(TP,FN,FP,TN)\n    recall_gain(TP,FN,FP,TN)\n    create_prg_curve(labels,pos_scores)\n    calc_auprg(prg_curve)\n    prg_convex_hull(prg_curve)\n    plot_prg(prg_curve)\n\nInstallation\n~~~~~~~~~~~~\n\nThis package can be installed using ``pip`` from command line:\n\n::\n\n    pip install pyprg\n\nUsage\n~~~~~\n\nDetailed information about the usage can be seen in the manual pages of\nthe individual functions, e.g. by typing ``?prg.create_prg_curve`` after\nimporting with ``from pyprg import prg``. The example usage is as\nfollows:\n\n.. code:: python\n\n    from pyprg import prg\n    import numpy as np\n    labels = np.array([1,1,1,0,1,1,1,1,1,1,0,1,1,1,0,1,0,0,1,0,0,0,1,0,1], dtype='int')\n    scores = np.arange(1,26)[::-1]\n    prg_curve = prg.create_prg_curve(labels, scores, create_crossing_points=True)\n    auprg = prg.calc_auprg(prg_curve)\n    print(auprg)\n    prg.plot_prg(prg_curve)\n\nAuthors\n~~~~~~~\n\nThis package has been written by Meelis Kull, Telmo de Menezes e Silva\nFilho, Miquel Perello Nieto, based on work by Peter Flach and Meelis\nKull, see http://www.cs.bris.ac.uk/~flach/PRGcurves/.",
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        "license": "MIT + file LICENSE",
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        "name": "pyprg",
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