https://github.com/pystruct/pystruct

Simple structured learning framework for python
https://github.com/pystruct/pystruct

Last synced: 8 months ago
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Simple structured learning framework for python

• Host: GitHub
• URL: https://github.com/pystruct/pystruct
• Owner: pystruct
• License: bsd-2-clause
• Created: 2012-06-05T16:37:09.000Z (over 13 years ago)
• Default Branch: master
• Last Pushed: 2021-09-23T03:21:43.000Z (about 4 years ago)
• Last Synced: 2024-10-30T22:39:46.268Z (about 1 year ago)
• Language: Python
• Homepage: http://pystruct.github.io
• Size: 11.9 MB
• Stars: 665
• Watchers: 48
• Forks: 174
• Open Issues: 108
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG
  • License: LICENSE

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README

          
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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.

Jean-Luc Meunier (Naver Labs Europe) contributed a new model and did some maintenance, in the course of the EU READ project. See [READ_Contribution.md](https://github.com/pystruct/pystruct/blob/master/READ_Contribution.md)