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        "description": "# spotify-tensorflow\n\n[![Build Status](https://img.shields.io/circleci/project/github/spotify/spotify-tensorflow/master.svg)](https://circleci.com/gh/spotify/spotify-tensorflow)\n[![Coverage](https://img.shields.io/codecov/c/github/spotify/spotify-tensorflow/master.svg?style=flat)](https://codecov.io/github/spotify/spotify-tensorflow?branch=master)\n[![GitHub license](https://img.shields.io/github/license/spotify/spotify-tensorflow.svg)](./LICENSE)\n[![PyPI version](https://badge.fury.io/py/spotify_tensorflow.svg)](https://badge.fury.io/py/spotify_tensorflow)\n\n## Purpose:\n\nProvide Spotify specific TensorFlow helpers.\n\n## Features\n\n * tf.data integration with [Featran](https://github.com/spotify/featran)\n * common Dataset API to read:\n   * TFRecord datasets as tf.Tensor\n   * TFRecord datasets as Pandas DataFrame\n   * TFRecord datasets as python dict\n * tf.Graph freezing utilities\n * TensorFlow integration with [Luigi](https://github.com/spotify/luigi)\n\n## Examples:\n\nCheck examples in the [examples directory](https://github.com/spotify/spotify-tensorflow/tree/master/examples),\ncurrently they include:\n\n * sklearn training via Pandas DataFrame dataset\n * XGBoost training via tf.Example dataset\n * TensorFlow training via tf.Example dataset\n\nTo run the examples:\n\n```sh\n$ pip install -e .[examples]\n$ bin/run-examples\n```\n\n## Development:\n\nThis project uses `tox`.\n\n```sh\n$ pip install tox\n```\n\nTo see all `testenv`'s:\n\n```sh\n$ tox -l\nmypy\nlint\nexamples-py27\nexamples-py35\ntest-py27\ntest-py35\nupload-coverage\nlicense\n```\n\nTo run the tests:\n\n```\ntox -e test\n```\n\nTo release:\n\n```\ngit commit --allow-empty -m \"Release x.y.z\"\ngit tag x.y.z\ngit push --tags  origin master\n```\n\nThen upload to pypi:\n\n```\npython setup.py sdist upload -r pypi\n```\n\n",
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