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) [![codecov.io](https://codecov.io/github/spotify/spotify-tensorflow/coverage.svg?branch=master)](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)
## Raison d’être:
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:
Ensure requirements.txt and test-requirements.txt are installed (probably in a virtualenv).
Invoke via scripts/run_examples.sh
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