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        "author": "Kaveh Mahdavi",
        "author_email": "kavehmahdavi74@gmail.com",
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            "License :: OSI Approved :: BSD License",
            "Natural Language :: English",
            "Operating System :: OS Independent",
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            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
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        "description": "\ufeff# <img alt=\"KAVICA\" src=\"https://github.com/kavehmahdavi/kavica/blob/master/kavica/GUI/icon/icon.png\" height=\"60\" align=\"middel\"> The KAVICA framework\n\n[![Travis - Build Status](https://img.shields.io/badge/checks-pending-yellow.svg?maxAge=3600)](https://travis-ci.com/)\n[![GitHub - License](https://img.shields.io/badge/license-BSD-green.svg?maxAge=3600)](https://github.com/kavehmahdavi/kavica)\n[![PyPI - Python Version](https://img.shields.io/badge/python-3.6%20|%203.7-blue.svg?maxAge=3600)](https://pypi.org/project/kavica/)\n[![PyPI - Latest Release](https://img.shields.io/badge/pypi-0.0a0-important.svg?maxAge=3600)](https://pypi.org/project/kavica/)\n[![Conda - Latest Release](https://img.shields.io/badge/Anaconda-0.0a0-ff69b4.svg?maxAge=3600)](https://anaconda.org/)\n\nThe **KAVICA** is a HPC data science package which includes pre-processing, post-processing and high level machine learning  methods.\nIt provides:\n- powerful feature selection methods.\n- practical (HPC) functions\n- Fast ETL data from HPC performance trace (.prv)\n- convenient dynamic graph object\n- useful missing value imputation, transformation, and  handling outliers capabilities\n- innovative cluster shape portrayal\n- ISO map and spectral graph analysis\n- Self- organization map analysis and prototyping \n- association rule analysis\n- inference and Fuzzy inference system\n- and much more scientific uses.\n\n\n## Getting Started\n\nThe recommended way to install **KAVICA** is to use [PyPI](https://pypi.org/):\n\n    $ pip install kavica\n    \nBut it can also be installed using [Anaconda/conda](https://conda.io/docs/):\n    \n    $ conda config --add channels conda-forge\n    $ conda install kavica\n\nTo verify your setup, start Python from the command line and run the following:\n\n    $ import kavica\n    \n## First Steps\n\n* https://kavehmahdavi.github.io/kavica/main/examples.html\n* https://kavehmahdavi.github.io/kavica/main/tutorial.html\n* https://kavehmahdavi.github.io/kavica/main/Apis.html\n\n## Issue tracker\n\nIf you find a bug, please help us solve it by [filing a report](https://github.com/kavehmahdavi/KAVICA/issues).\n\n## Contributing\n\nIf you want to contribute, check out the [contribution guidelines](https://kavehmahdavi.github.io/kavica/main/contributions.html).\n\n## License\n\nThe main library of **kavica** is [released under the BSD 3 clause license](https://kavehmahdavi.github.io/kavica/main/license.html).",
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