spotify_tensorflow 0.7.7

Spotify-specific helpers for TensorFlow

# spotify-tensorflow

[](https://circleci.com/gh/spotify/spotify-tensorflow) [](https://codecov.io/github/spotify/spotify-tensorflow?branch=master) [](./LICENSE) [](https://badge.fury.io/py/spotify_tensorflow)

## Purpose:

Provide Spotify specific TensorFlow helpers.

## Features

• tf.data integration with [Featran](https://github.com/spotify/featran)

• common Dataset API to read: * TFRecord datasets as tf.Tensor * TFRecord datasets as Pandas DataFrame * TFRecord datasets as python dict

• tf.Graph freezing utilities

• TensorFlow integration with [Luigi](https://github.com/spotify/luigi)

## 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 `