The Java Machine Learning Library.

This document covers the very basic documentation of the library.

The Java Machine Learning Library is licensed under GNU-GPL.

More elaborate documentation can be found on the web site

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.

How to get started

When you are reading this, you most probably already downloaded the library. To use it, include the javaml-<version>.jar in your classpath, as well as the jars that are available in lib/.

See bellow how to get started with Maven.

How to get started, code samples, tutorials on various tasks can be found at http://java-ml.sourceforge.net

Requirements

Java 6

Dependencies

Required libraries:

• Apache Commons Math: used in some algorithms, version 1.2
• Abeel Java Toolkit: used in some classes, version 2.11 is included. AJT is distributed under GNU LGPL 2 or later
• Jama: used in some algorithms, version 1.0.3

Optional libraries:

• Weka: if you like to use algorithms from Weka, version 3.6.0
• libsvm: if you like to use the libsvm algoriths, version 3.17

Build Maven project

1. clone repository
2. install ajt dependency: mvn validate
3. build project and run unit test: mvn clean install

Contact

You can contact us by using the Sourceforge contact page or send an email to me thomas@abeel.be