Project details for stroll

Logo stroll 0.1

by ppletscher - April 1, 2009, 14:32:31 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ]

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stroll (STRuctured Output Learning Library) is a library for Structured Output Learning. For now it only supports various training and prediction approaches for Conditional Random Fields (CRF), but support for Structural SVMs is planned for the near future.

Features: Supports general (possibly intractable) factor graphs. Easy to use. We provide Python bindings for stroll that simplify the development with stroll considerably. Most of the inference algorithms implemented by libDAI can be used with smaller modifications for both, training and prediction with CRFs. Implements the spanning tree based training approach for CRFs described in our AISTATS paper

Changes to previous version:

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BibTeX Entry: Download
Corresponding Paper BibTeX Entry: Download
Supported Operating Systems: Linux
Data Formats: None
Tags: Structure Learning, Structured Outputs, Classification, Multilabel, Approximate Inference, Approximate Learning
Archive: download here


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