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        "author": "Daniel Pettersson, Otto Nordander",
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        "description": "|Travis Status| |Coveralls Status| |CircleCI Status|\n\ndecision-tree-id3\n=================\n\ndecision-tree-id3 is a module created to derive decision trees using the\nID3 algorithm. It is written to be compatible with Scikit-learn's API\nusing the guidelines for Scikit-learn-contrib. It is licensed under the\n3-clause BSD license.\n\nImportant Links\n---------------\n\nHTML Documentation - https://svaante.github.io/decision-tree-id3\n\nInstallation\n------------\n\nDependencies\n~~~~~~~~~~~~\n\n-  Python (>= 2.7 or >= 3.3)\n-  NumPy (>= 1.6.1)\n-  Scikit-learn (>= 0.17)\n\nThe package by itself comes with a single estimator Id3Estimator. To\ninstall the module:\n\n::\n\n    pip install decision-tree-id3\n\nor clone the project using:\n\n::\n\n    git clone https://github.com/svaante/decision-tree-id3.git\n    cd decision-tree-id3\n    python setup.py install\n\nUsage\n-----\n\nIf the installation is successful, you should be able to execute the\nfollowing in Python:\n\n.. code:: python\n\n    >>> from sklearn.datasets import load_breast_cancer\n    >>> from id3 import Id3Estimator\n    >>> from id3 import export_graphviz\n\n    >>> bunch = load_breast_cancer()\n    >>> estimator = Id3Estimator()\n    >>> estimator.fit(bunch.data, bunch.target)\n    >>> export_graphviz(estimator.tree_, 'tree.dot', bunch.feature_names)\n\nAnd to generate a PDF of the decision tree using GraphViz:\n\n.. code:: shell\n\n    dot -Tpdf tree.dot -o tree.pdf\n\nThere are a number of different default parameters to control the growth\nof the tree: - max\\_depth, the max depth of the tree. -\nmin\\_samples\\_split, the minimum number of samples in a split to be\nconsidered. - prune, if the tree should be post-pruned to avoid\noverfitting and cut down on size. - gain\\_ratio, if the algorithm should\nuse gain ratio when splitting the data. - min\\_entropy\\_decrease, the\nminimum decrease in entropy to consider a split. - is\\_repeating, repeat\nthe use of features.\n\nFor more in depth information see the documentation\nhttps://svaante.github.io/decision-tree-id3\n\n.. |Travis Status| image:: https://travis-ci.org/svaante/decision-tree-id3.svg?branch=master\n   :target: https://travis-ci.org/svaante/decision-tree-id3\n.. |Coveralls Status| image:: https://coveralls.io/repos/svaante/decision-tree-id3/badge.svg?branch=master&service=github\n   :target: https://coveralls.io/r/svaante/decision-tree-id3\n.. |CircleCI Status| image:: https://circleci.com/gh/svaante/decision-tree-id3.svg?style=shield&circle-token=:circle-token\n   :target: https://circleci.com/gh/svaante/decision-tree-id3/tree/master\n",
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