A framework for learning from a continuous supply of examples, a data stream. Includes tools for evaluation and a collection of machine learning algorithms. Related to the WEKA project, also written in Java, while scaling to more demanding problems.
Release Date:
2009-09-01
Topic:
Operating System:
License:
Intended Audience:
User Interface:
Programming Language:
Registered:
2007-11-06
Ratings and Reviews
- Thumbs up: 1
- Thumbs down: 0
Be the first to post a text review of MOA - Massive Online Analysis. Rate and review a project by clicking thumbs up or thumbs down in the right column.
Project Feed
-
Code committed
-
Code committed
-
Code committed
-
Code committed
-
Code committed
committed revision 22 to the moa-datastream SVN repository, changing 1 files -
Code committed
committed revision 21 to the moa-datastream SVN repository, changing 21 files -
Code committed
committed revision 20 to the moa-datastream SVN repository, changing 1 files -
Code committed
committed revision 19 to the moa-datastream SVN repository, changing 6 files -
Code committed
committed revision 18 to the moa-datastream SVN repository, changing 1 files -
Project Information Updated
Rate and Review
Related Projects
-
C++ Library for Parser Generation
Generate a parser at runtime from a collection of C++ objects. Concisely state a parser specification in ordinary C++ code. Learn from a parser generator with an object-oriented design.
-
-
MOA - Massive Online Analysis Actions
About SourceForge
Develop Software
Community
Copyright © 2009 Geeknet, Inc. All rights reserved. Terms of Use
