This repository contains experiments with scikit-learn compatible estimators, transformers, and datasets which use Theano internally.
- Official source code repo: https://github.com/sklearn-theano/sklearn-theano
- HTML Documentation: http://sklearn-theano.github.io
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!