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Structured Learning and Prediction in Python

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PyStruct

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](http://scikit-learn.org).

You can install pystruct using

> pip install pystruct

Some of the functionality (namely OneSlackSSVM and NSlackSSVM) requires that cvxopt is installed. See the [installation instructions](http://pystruct.github.io/intro.html) for more details.

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

You can contact the authors either via the [mailing list](https://groups.google.com/forum/#!forum/pystruct) or on [github](https://github.com/pystruct/pystruct).

Currently the project is mostly maintained by Andreas Mueller, but contributions are very welcome.

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