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sklearn-theano's Introduction

sklearn-theano

This repository contains experiments with scikit-learn compatible estimators, transformers, and datasets which use Theano internally.

Important Links

Setup

The HTML docmentation linked above has a variety of resources for installation and example use. To get started immediately, clone this repo then do:

python setup.py develop

When using the examples, there will be some fairly large downloads (~1GB) to get weights, sample datasets, and other useful tools. The default directory for this is $HOME/sklearn_theano_data.

The key packages required are:
  • numpy
  • scipy
  • theano
  • scikit-learn
  • pillow

and a soft dependency on matplotlib for the examples.

Documentation is sparse but we are working to improve unclear modules. Feel free to raise issues on GitHub with any problems found!

sklearn-theano's People

Contributors

kastnerkyle avatar eickenberg avatar rjw57 avatar

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