MAINTENANCE MODE

THIS PROJECT IS IN MAINTENANCE MODE DUE TO THE FACT THAT IT'S NOT WIDELY USED WITHIN SPOTIFY. WE'LL PROVIDE BEST EFFORT SUPPORT FOR ISSUES AND PULL REQUESTS BUT DO EXPECT DELAY IN RESPONSES.

spotify-tensorflow

Purpose:

Provide Spotify specific TensorFlow helpers.

Features

tf.data integration with 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

Examples:

Check examples in the examples directory, 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:

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

Development:

This project uses tox.

$ pip install tox

To see all testenv's:

$ 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: