Machine learning libraries

There are over 70 Java-based open source machine learning projects listed on the MLOSS.org website, and probably many more unlisted projects live at university servers, GitHub, or Bitbucket. In this section, we will review the major libraries and platforms, the kind of problems they can solve, the algorithms they support, and the kind of data they can work with.

Weka

Waikato Environment for Knowledge Analysis (WEKA) is a machine learning library that was developed at the University of Waikato, New Zealand, and is probably the most well-known Java library. It is a general purpose library that is able to solve a wide variety of machine learning tasks, such as classification, regression, and clustering...