Java port and extension of MLC++ 2.0 by Kohavi et al. Currently contains ID3, C4.5, Naive (aka Simple) Bayes, and FSS and CHC (genetic algorithm) wrappers for feature selection. WEKA 3 interfaces are in development.

Project Activity

See All Activity >

License

GNU General Public License version 2.0 (GPLv2), GNU Library or Lesser General Public License version 2.0 (LGPLv2)

Follow Machine Learning Tools in Java (MLJ)

Machine Learning Tools in Java (MLJ) Web Site

Other Useful Business Software
Build Securely on Azure with Proven Frameworks Icon
Build Securely on Azure with Proven Frameworks

Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.

Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
Download Now
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Machine Learning Tools in Java (MLJ)!

Additional Project Details

Operating Systems

BSD, Linux, Mac, Server Operating Systems, Solaris, Windows

Languages

English

Intended Audience

Education, Other Audience, Science/Research

Programming Language

C++, Java

Related Categories

C++ Artificial Intelligence Software, C++ Mathematics Software, C++ Information Analysis Software, C++ Education Software, Java Artificial Intelligence Software, Java Mathematics Software, Java Information Analysis Software, Java Education Software

Registered

2002-05-20