Skip to main content

Structured Learning and Prediction in Python

Project description

[![Build Status](https://travis-ci.org/pystruct/pystruct.png)](https://travis-ci.org/pystruct/pystruct)

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).

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

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).

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pystruct-0.2.2.tar.gz (5.4 MB view details)

Uploaded Source

File details

Details for the file pystruct-0.2.2.tar.gz.

File metadata

  • Download URL: pystruct-0.2.2.tar.gz
  • Upload date:
  • Size: 5.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pystruct-0.2.2.tar.gz
Algorithm Hash digest
SHA256 e58ec377bcd0003949bbdb904777d72bab2dbdd846d2a7b6124b3c7f3dc8db0e
MD5 7c790c33b08512bc6a7f8611ba828bbb
BLAKE2b-256 cb592c840e10be77655defd18be9de05cb64a033d7e708e904125b283a8825df

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page