Metadata-Version: 1.1
Name: spotify_tensorflow
Version: 0.6.1.dev9
Summary: Spotify-specific helpers for TensorFlow
Home-page: https://github.com/spotify/spotify-tensorflow
Author: UNKNOWN
Author-email: UNKNOWN
License: Apache-2
Description-Content-Type: UNKNOWN
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)
        
        ## 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:
        
        ```sh
        $ pip install -e .[examples,tfx]
        $ bin/run-examples
        ```
        
        ## Development:
        
        This project uses `tox`.
        
        ```sh
        $ pip install tox
        ```
        
        To see all `testenv`'s:
        
        ```sh
        $ tox -l
        mypy
        lint
        examples
        test-tf18
        test-tf19
        test
        ```
        
        To run the tests:
        
        ```
        tox -e test
        ```
        
        To release:
        
        ```
        python setup.py sdist upload -r pypi
        ```
        
        
Keywords: tensorflow
utils
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Information Technology
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
