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        "author": "Risan Bagja Pradana",
        "author_email": "risanbagja@gmail.com",
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            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 2.6",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Topic :: Scientific/Engineering :: Information Analysis"
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        "description": "========================\nIrish Flower Classifier\n========================\n\n.. image:: https://travis-ci.org/risan/iris-flower-classifier.svg?branch=master\n    :target: https://travis-ci.org/risan/iris-flower-classifier\n.. image:: https://coveralls.io/repos/github/risan/iris-flower-classifier/badge.svg?branch=master\n    :target: https://coveralls.io/github/risan/iris-flower-classifier?branch=master\n.. image:: https://img.shields.io/pypi/v/irisflower.svg\n    :target: https://pypi.python.org/pypi/irisflower/\n.. image:: https://img.shields.io/pypi/l/irisflower.svg\n    :target: https://pypi.python.org/pypi/irisflower/\n\nSimple module for identiying Irish flower species based on it's sepal and petal dimensions.\n\nDependencies\n------------------------\n\n- `SciPy <http://www.scipy.org/>`_\n- `Scikit Learn <http://scikit-learn.org/>`_\n\nInstallation\n------------------------\n\nThe recomended way to install this module is through `pip <https://pip.pypa.io/>`_.\n\n.. code-block:: bash\n\n    pip install irisflower\n\nHow To Use\n------------------------\n\n.. code-block:: python\n\n    # Import IrishFlowerClassifier class.\n    from irisflower.classifier import IrisFlowerClassifier\n\n    # Create a new instance of IrisFlowerClassifier.\n    iris_flower = IrisFlowerClassifier()\n\n    # Finaly classify the flower species.\n    print iris_flower.classify(sepal_length=5,sepal_width=3,petal_length=1,petal_width=0.2)\n\nRunning Test\n------------------------\n\nIf you already have `node <https://nose.readthedocs.org/>`_nose installed on your machine, simple run the following command:\n\n.. code-block:: bash\n\n    nosetests\n\nOr you can also run the built in Python unittest command like so:\n\n.. code-block:: bash\n\n    python -m unittest tests.test_classifier\n\nThis is my first attempt to learn machine learning and also\nmy first code written in Python! :snake:",
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