Description:

JSAT is a general purpose Java Machine Learning library, primarily focused on classification, regression, and clustering algorithms. It supports reading and writing datasets in the common LIBSVM format, ARFF files, and a custom binary format for efficiency. It has no dependencies besides Java 6, and is meant to be relatively fast with multi-threaded implementations where possible.

JSAT aims to be useful for both practitioners and researchers. It provides a wide breadth of algorithms that can be used for comparison or to select the method most appropriate for a given dataset.

Changes to previous version:

See github release tab for change info

BibTeX Entry: Download

Supported Operating Systems: Linux, Windows, Solaris, Mac, Platform Agnostic

Data Formats: Binary, Arff, Java Arrays, Csv, Libsvm

Tags: Classification, Regression, Online Learning, Machine Learning, Java

Archive: download here

Other available revisons

Version	Changelog	Date
0.0.7	See github release tab for change info	January 15, 2017, 22:21:50
0.0.4	Initial Announcement on mloss.org.	March 5, 2016, 06:28:14

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