Structured Learning and Prediction in Python
Project description
[](https://travis-ci.org/pystruct/pystruct) [](https://pypi-hypernode.com/pypi/pystruct/) [](https://pypi-hypernode.com/pypi/pystruct/) [](https://github.com/pystruct/pystruct/blob/master/LICENSE)
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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