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JMLR 2014

pystruct - Learning Structured Prediction in Python

Journal Article Articles Artificial Intelligence · Machine Learning

Abstract

Structured prediction methods have become a central tool for many machine learning applications. While more and more algorithms are developed, only very few implementations are available. pystruct aims at providing a general purpose implementation of standard structured prediction methods, both for practitioners and as a baseline for researchers. It is written in Python and adapts paradigms and types from the scientific Python community for seamless integration with other projects. [abs] [ pdf ][ bib ] [ code ] &copy JMLR 2014. ( edit, beta )

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Context

Venue
Journal of Machine Learning Research
Archive span
2000-2026
Indexed papers
4180
Paper id
577079945561840067
v2026.09.13