This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.
Latest Version Dependencies status unknown Test status unknown Test coverage unknown
Project Description
WARNING: We are not maintaining PyPi package anymore. Please install TensorFlow and install Scikit Flow from there.

This is a simplified interface for TensorFlow, to get people started on
predictive analytics and data mining.

Library covers variety of needs from linear models to Deep Learning
applications like text and image understanding.

Why TensorFlow?

- TensorFlow provides a good backbone for building different shapes of machine learning applications.
- It will continue to evolve both in the distributed direction and as general pipelinining machinery.

Why Scikit Flow?

- To smooth the transition from the Scikit Learn
world of one-liner machine learning into the more open world of building
different shapes of ML models. You can start by using fit/predict and
slide into TensorFlow APIs as you are getting comfortable.
- To provide a set of reference models that would be easy to integrate with existing code.
Release History

Release History


This version

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
skflow-0.1.0.tar.gz (35.1 kB) Copy SHA256 Checksum SHA256 Source Feb 14, 2016

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