https://github.com/AbeelLab/javaml
Java Machine Learning Library
https://github.com/AbeelLab/javaml
Last synced: about 1 month ago
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Java Machine Learning Library
- Host: GitHub
- URL: https://github.com/AbeelLab/javaml
- Owner: AbeelLab
- Created: 2016-03-04T14:41:05.000Z (over 10 years ago)
- Default Branch: master
- Last Pushed: 2023-07-03T11:49:59.000Z (about 3 years ago)
- Last Synced: 2026-03-08T23:55:50.903Z (4 months ago)
- Language: Java
- Size: 15.7 MB
- Stars: 62
- Watchers: 3
- Forks: 20
- Open Issues: 4
-
Metadata Files:
- Readme: README.md
- Changelog: changelog.rst
Awesome Lists containing this project
- awesome-java - JavaML
README
# javaml
Java Machine Learning Library
This document covers the very basic documentation of the library.
The Java Machine Learning Library is licensed under GNU-GPL.
updates:
-- 2016/03/03 moved to github.com
-- Still working to split GPL code from the core which will be less restrictive, I appreciate pull requests
More elaborate documentation can be found in the old_documentation.zip package.
1. Overview
=============
Java-ML in a nutshell:
* A collection of machine learning algorithms
* Common interface for each type of algorithms
* Library aimed at software engineers and programmers, so no GUI, but clear interfaces
* Reference implementations for algorithms described in the scientific literature.
* Well documented source code.
* Plenty of code samples and tutorials.
2. How to get started
=====================
When you are reading this, you most probably already downloaded the library.
To use it, include the javaml-.jar in your classpath, as well as the
jars that are available in lib/.
How to get started, code samples, tutorials on various tasks can be found
in the old_documentation.zip package.
3. Requirements
===============
Java 6
4. Dependencies
===============
Required libraries:
- Apache Commons Math: used in some algorithms, version 1.2 is included
Apache Commons Math is distributed under Apache License 2.0
http://commons.apache.org/math/
- Abeel Java Toolkit: used in some classes, version 2.9 is included
AJT is distributed under GNU LGPL 2 or later
http://sourceforge.net/projects/ajt/
- Jama: used in some algorithms, version 1.0.2 is included
Jama is distributed as public domain software
http://math.nist.gov/javanumerics/jama/
Optional libraries:
- Weka: if you like to use algorithms from Weka. Weka 3.6.0 is included in the distribution
Weka is distributed under GNU GPL 2 or later
http://www.cs.waikato.ac.nz/ml/weka/
- libsvm: if you like to use the libsvm algoriths. libSVM 2.89 is included in this distribution
libSVM is distributed under the modified BSD license
http://www.csie.ntu.edu.tw/~cjlin/libsvm/
- JUnit: if you want to run the unit tests. As the unit tests are only available from the SVN
we did not include a version of JUnit with the distribution. The tests have been written for the
JUnit 4 platform and may not function for JUnit 3 or earlier
5. Contact
==========
You can contact us by e-mail.
thomas@abeel.be