PyStruct aims at being an easy-to-use structured learning and prediction library. Currently it implements only max-margin methods and a perceptron, but other algorithms might follow.

The goal of PyStruct is to provide a well-documented tool for researchers as well as non-experts to make use of structured prediction algorithms. The design tries to stay as close as possible to the interface and conventions of scikit-learn.

Currently the project is mostly maintained by Andreas Mueller, but contributions are very welcome. I plan a stable release soon.

The full documentation can be found at the website: http://pystruct.github.io

You can contact the authors either via the mailing list or on github.