JMLR 2014
pystruct - Learning Structured Prediction in Python
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 ] © 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