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            "Topic :: Scientific/Engineering :: Bio-Informatics",
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        "description": "ClassificaIO\n============\n\nThis repository contains ClassificaIO, a Python package that provides a\ngraphical user   (GUI) for machine learning classification algorithms from\nscikit-learn.\n\nClassificaIO Installation Instructions\n======================================\n\nA. INSTALLATION\n---------------\n\nRecommended Pre-Installation Requirements\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nTo install ClassificaIO on any platform you need:\n 1. A Python distribution - ClassificaIO was built usining Anaconda distribution,\n    python 3.6.\n\nInstallation Instructions\n~~~~~~~~~~~~~~~~~~~~~~~~~\n1. Mac or Windows\n~~~~~~~~~~~~~~~~~~~~~~~~~\n\n\nTo install the current ClassificaIO release use pip:\n\n.. code:: bash\n\n    pip install ClassificaIO\n\nAlternatively, you can install directly from github using:\n\n.. code:: bash\n\n    pip install git+https://github.com/gmiaslab/ClassificaIO/\n\n2. Linux\n~~~~~~~~~\n\nFirst install the current release of tkinter and pip\n\n.. code:: bash\n\n\tsudo apt-get install python3-tk\n\tsudo apt-get install python3-pip\n\nTo install the current ClassificaIO release use pip\n\n.. code:: bash\n\n    pip3 install ClassificaIO\n\nAlternatively, you can install directly from github using:\n\n.. code:: bash\n\n    pip3 install git+https://github.com/gmiaslab/ClassificaIO/\n\n\nB. RUNNING ClassificaIO\n-----------------------\n\nAfter installation you can run:\n\n.. code:: python\n\n    >>> from ClassificaIO import ClassificaIO\n    >>> ClassificaIO.gui()\n\nC. DOCUMENTATION\n----------------\n\nDocumentation for ClassificaIO is provided in the manual, available\nonline at: \\*\nhttps://github.com/gmiaslab/manuals/blob/master/ClassificaIO/ClassificaIO_UserManual.pdf\n\nThe manual can also be accessed directly through the Help menu in\nClassificaIO that points to the above location.\n\nD. LICENSING\n------------\n\nClassificaIO is provided under an MIT license.\n\nE. OTHER CONTACT INFORMATION\n----------------------------\n\n-  Contributions: Raeuf Roushangar, George I. Mias\n-  G.MiasLab (https://georgemias.org)\n-  e-mail: gmiaslab@gmail.com\n-  twitter: @gmiaslab\n",
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