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            "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
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        "description": "##############################################\nRelational Functional Gradient Boosting (rfgb)\n##############################################\n\n|PyPi|_ |License|_ |Travis|_ |Codecov|_ |ReadTheDocs|_\n\n.. |PyPi| image:: https://img.shields.io/pypi/v/rfgb.svg\n  :alt: Python Package Index (PyPi) latest version.\n.. _PyPi: https://pypi.org/project/rfgb/\n\n.. |License| image:: https://img.shields.io/github/license/hayesall/rfgb.svg\n  :alt: License.\n.. _License: https://github.com/hayesall/rfgb/blob/master/LICENSE\n\n.. |Travis| image:: https://travis-ci.org/hayesall/rfgb.svg?branch=master\n  :alt: Master branch build status.\n.. _Travis: https://travis-ci.org/hayesall/rfgb\n\n.. |Codecov| image:: https://codecov.io/gh/hayesall/rfgb/branch/master/graphs/badge.svg?branch=master\n  :alt: Master branch code coverage.\n.. _Codecov: https://codecov.io/github/hayesall/rfgb?branch=master\n\n.. |ReadTheDocs| image:: https://readthedocs.org/projects/rfgb/badge/?version=latest\n  :alt: Documentation build status and link to documentation.\n.. _ReadTheDocs: http://rfgb.readthedocs.io/en/latest/\n\n**rfgb**: Relational Functional Gradient Boosting (in Python).\n\n- **Documentation**: https://rfgb.readthedocs.io/en/latest/\n- **Questions?** Contact `Alexander L. Hayes (hayesall) <https://hayesall.com>`_\n\nInstallation\n------------\n\nStable builds may be installed from PyPi\n\n.. code-block:: bash\n\n\t\tpip install rfgb\n\nOr develop further by cloning the repository\n\n.. code-block:: bash\n\n\t\tgit clone https://github.com/hayesall/rfgb.git\n\t\tcd rfgb/\n\t\tpython setup.py develop\n\nQuick-Start\n-----------\n\nLearning with a relational dependency network.\n\n.. code-block:: bash\n\n   cd testDomains/Logistics/\n   rfgb init\n   rfgb learn rdn -target unload\n\nAdditional options for each subcommand may be viewed by passing ``-h`` as a parameter.\n\n.. code-block:: bash\n\n   rfgb -h\n   rfgb learn rdn -h\n\n\nClassification with Expert Advice (``-advice``)\n--------------------------------------------------\n\nPreferred and non-preferred labels may be provided as advice during classification via logical rules. This advice may be specified in a file named ``advice.txt`` in the train directory for a dataset.\n\nFour datasets (BlocksWorld, HeartAttack, Logistics, and MoodDisorder) have an advice file included for demonstration\n\n1. Logistics\n\n.. code-block:: bash\n\n    cd testDomains/Logistics/\n    rfgb init\n    rfgb learn rdn -advice -target unload\n\n2. HeartAttack\n\n.. code-block:: bash\n\n    cd testDomains/HeartAttack/\n    rfgb init\n    rfgb learn rdn -advice -target ha\n\n\nTargets\n-------\n\n\"Targets\" specify what is learned, examples of the target are provided in ``pos.txt``, ``neg.txt``, or ``examples.txt`` (for regression). These are specified here for convenience.\n\n+---------------+------------------------+\n| **Dataset**   | **Target**             |\n+---------------+------------------------+\n| BlocksWorld   | ``putdown``            |\n+---------------+------------------------+\n| BostonHousing | ``medv``               |\n+---------------+------------------------+\n| HeartAttack   | ``ha``                 |\n+---------------+------------------------+\n| Insurance     | ``value``              |\n+---------------+------------------------+\n| Logistics     | ``unload``             |\n+---------------+------------------------+\n| MoodDisorder  | ``bipolar``            |\n+---------------+------------------------+\n| TicTacToe     | ``put`` or ``dontput`` |\n+---------------+------------------------+\n| ToyCancer     | ``cancer``             |\n+---------------+------------------------+\n| XOR           | ``xor``                |\n+---------------+------------------------+\n\nIn Development\n--------------\n\n- Test cases (codecov >90%)\n- General interaction improvements for commandline and library\n- Learning Markov Logic Networks\n\nLicense\n-------\n\nThis program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.\n\nThis program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.\n\nA full `copy of the license <https://github.com/hayesall/rfgb/blob/master/LICENSE>`_ is available in the base of this repository. For more information, see https://www.gnu.org/licenses/\n\n\n",
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