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Spotify-specific helpers for TensorFlow

Project description

# spotify-tensorflow

[![Build Status](https://img.shields.io/circleci/project/github/spotify/spotify-tensorflow/master.svg)](https://circleci.com/gh/spotify/spotify-tensorflow) [![Coverage](https://img.shields.io/codecov/c/github/spotify/spotify-tensorflow/master.svg?style=flat)](https://codecov.io/github/spotify/spotify-tensorflow?branch=master) [![GitHub license](https://img.shields.io/github/license/spotify/spotify-tensorflow.svg)](./LICENSE) [![PyPI version](https://badge.fury.io/py/spotify_tensorflow.svg)](https://badge.fury.io/py/spotify_tensorflow)

## Purpose:

Provide Spotify specific TensorFlow helpers.

## Features

## Examples:

Check examples in the [examples directory](https://github.com/spotify/spotify-tensorflow/tree/master/examples), currently they include:

  • sklearn training via Pandas DataFrame dataset
  • XGBoost training via tf.Example dataset
  • TensorFlow training via tf.Example dataset

To run the examples:

`sh $ pip install -e .[examples] $ bin/run-examples `

## Development:

This project uses tox.

`sh $ pip install tox `

To see all testenv’s:

`sh $ tox -l mypy lint examples-py27 examples-py35 test-py27 test-py35 upload-coverage license `

To run the tests:

` tox -e test `

To release:

` git commit --allow-empty -m "Release x.y.z" git tag x.y.z git push --tags  origin master `

Then upload to pypi:

` python setup.py sdist upload -r pypi `

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