pystruct
A Python library for structured learning and prediction with max-margin methods and a scikit-learn compatible interface.
What is pystruct?
PyStruct is a Python library for structured learning and prediction, implementing max-margin methods like structured support vector machines (SSVMs) and a perceptron algorithm. It solves problems where outputs have complex dependencies, such as sequence labeling, parsing, or graph prediction, by learning structured models from data. The library is designed to be easy to use while providing powerful tools for both research and practical applications.
Machine learning researchers and practitioners working on structured prediction tasks, as well as data scientists who need a scikit-learn compatible interface for advanced learning problems with interdependent outputs.
Developers choose PyStruct for its clean implementation of structured max-margin methods, seamless integration with the scikit-learn ecosystem, and well-documented approach that makes advanced structured learning accessible without sacrificing flexibility for research.
Overview
Simple structured learning framework for python
Use Cases
Best For
- Sequence labeling tasks like part-of-speech tagging or named entity recognition
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