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        "author": "Paul Raftery",
        "author_email": "praftery@berkeley.edu",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Education",
            "Intended Audience :: End Users/Desktop",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: GNU General Public License v2 or later (GPLv2+)",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2.7",
            "Topic :: Scientific/Engineering :: Information Analysis"
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        "description": "Mave\n======\nMave is a tool for automated measurement and verification. At it's most simple, \nthe aim is to read energy consumption data from before and after a retrofit \n(pre-retrofit and post-retrofit data) and to predict how much energy the \nretrofit saved. Mave does this by training a model to the data and using \nthe best model to predict energy consumption during a different period.\n\n\nInstallation\n------------\nAssuming all of the dependencies are installed, install mave from source using:\n```\n    python setup.py install\n```\n\nAlternatively, install mave from pypi using:\n```\n    pip install mave --no-deps\n```\n\nIf you run into trouble with the dependencies, see the \n[Installation page of the wiki](https://github.com/CenterForTheBuiltEnvironment/mave/wiki/Installation)\n\nUsage\n------------\nTry mave out on an example file using any of the examples methods below.\nEach of these will build a model on the dataset contained in ex3.csv, the \ndifference between the three approaches is in how the post-retrofit period\nis defined.\n```\n    mave ex3.csv \n```\nThis assumes the last 25% of the file represents the postretrofit period as the\ndefault value of the 'test_size' argument is 0.25. \n```\n    mave ex3.csv -ts 0.45\n```\nThis uses the 'ts' or 'test_size' argument to explicitly specify the fraction \nof the file to use. In this example the last 45% of the file represents the \npostretrofit period. \n```\n    mave ex3.csv -cp \"1/11/2013 00:00\"\n```\nThis example uses the 'cp' or 'changepoint' argument to explicitly define the\ndate at which the post retrofit period begins. This overrides the 'test-size' \nvalue. In this case all data on or after Jan 11, 2013 at 00:00 represents the \npost-retrofit period.\n\nMave has many configurable options (e.g. -v for verbose output) which can be \npassed as command line arguments or using a separate configuration file.\nThe configuration file also allows many other advanced modeling options, such \nas specifying multiple different periods in the file to use as pre-retrofit or \npost-retrofit, or periods to ignore entirely. Review the wiki documentation for \nmore details. \n\nTo cite this tool: \nPaul Raftery & Tyler Hoyt, 2015, Mave: software automated Measurement and Verification. \nCenter for the Built Environment, University of California Berkeley, https://github.com/CenterForTheBuiltEnvironment/mave",
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