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        "author": "Ragavendran balakrishnan",
        "author_email": "ragavendranb92@gmail.com",
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            "Programming Language :: Python :: 2.7",
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        "description": "# Id3trees\n\nThis is a python package that provides the ID3 Decision tree for\nclassifying and predicting data.\n\n\nAfter installing the package in order to use it in the code, Please do\nthe following.\n\n```python\n\nfrom Id3trees import tree\n\n# train_data : A ``pandas`` DataFrame training data on which the ID3 tree\n# classification needs to be done\n# train_data_class : A  ``pandas`` DataFrame consisting of a 1D series of \n# training class data\ntree = tree.MyDecisionTreeClassifier()\ntree.fit(train_data, train_data_class)\n\n# test_data : A ``pandas`` DataFrame containing the testing data\n# returns : An array of predicted class for the given\ntree.predict(test_data)\n\n# print the tree after fitting the value\ntree.print()\n\n```\n\n",
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        "keywords": "",
        "license": "TEST",
        "maintainer": "",
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        "name": "id3tree",
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        "requires_dist": [
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        "summary": "This is used for creating multi-split entropy based ID3Trees.",
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