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        "author": "Simon Delmas",
        "author_email": "delmas.simon@gmail.com",
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        "classifiers": [
            "Environment :: Console",
            "Framework :: Pytest",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: GNU General Public License v2 (GPLv2)",
            "Programming Language :: Python :: 3"
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        "description": "# Goodness of fit \n\ngoodness_of_fit is a python language software package that provide a set of function \nfor goodness of fit measure between two signals.\n\nWhile most of these functions are available in packages such as [Scipy](https://github.com/scipy/scipy), [Spotpy](https://github.com/thouska/spotpy), etc... \nthis package brings together all these functions and provides a unified interface for their use.\n\n## Content of the package\n\nThe package provides the following functions :\n* Mean Error\n* Mean Absolute Error\n* Root Mean Square Error\n* Normalized Root Mean Square Error\n* Pearson product-moment correlation coefficient\n* Coefficient of Determination\n* Index of Agreement\n* Modified Index of Agreement\n* Relative Index of Agreement\n* Ratio of Standard Deviations\n* Nash-sutcliffe Efficiency\n* Modified Nash-sutcliffe Efficiency\n* Relative Nash-sutcliffe Efficiency\n* Kling Gupta Efficiency\n* Deviation of gain\n* Standard deviation of residual\n\n## Getting Started\n\nThese instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.\n\n### Prerequisites\n\ngoodness_of_fit requires :\n\n* Python 3\n* [Numpy](https://github.com/numpy/numpy) for efficient computation on array.\n\n### Installing\n\nTo install the package, clone or download the repository and use the setup.py :\n\n```bash\ngit clone https://github.com/SimonDelmas/goodness_of_fit.git\ncd goodness_of_fit\npython ./setup.py install\n```\n\n### Building the documentation\n\nThe documentation could be generated using the command :\n\n```bash\npython ./setup.py build_sphinx\n```\n\n\n### Running the tests\n\nAfter installation, you can launch the test suite with pytest :\n\n```bash\npytest\n```\n\n## License\n\nThis project is licensed under the GLP-2.0 License - see the [LICENSE.md](LICENSE.md) file for details.\n\n\n",
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        "name": "goodness-of-fit",
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