{ "info": { "author": "Civis Analytics, Inc.", "author_email": "opensource@civisanalytics.com", "bugtrack_url": null, "classifiers": [], "description": "muffnn\n======\n\n|Travis| |PyPI|\n\n.. |Travis| image:: https://img.shields.io/travis/civisanalytics/muffnn/master.svg\n :alt: Build status\n :target: https://travis-ci.org/civisanalytics/muffnn\n\n.. |PyPI| image:: https://img.shields.io/pypi/v/muffnn.svg\n :target: https://pypi.org/project/muffnn/\n :alt: Latest version on PyPI\n\n`scikit-learn `__-compatible neural network\nmodels in implemented in `TensorFlow `__\n\nInstallation\n============\n\nInstallation with ``pip`` is recommended:\n\n.. code:: bash\n\n pip install muffnn\n\nYou can install the dependencies via:\n\n.. code:: bash\n\n pip install -r requirements.txt\n\nIf you have trouble installing TensorFlow, see `this\npage `__ for more details.\n\nFor development, a few additional dependencies are needed:\n\n.. code:: bash\n\n pip install -r dev-requirements.txt\n\nUsage\n=====\n\nEach estimator in the code follows the scikit-learn API. 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