Machine Learning with WEKA: An Interview with Mark Hall

[ Thanks to Edwood Ocasio for this link. ]

"F4S: Why and when did WEKA come to be?

"WEKA grew out of a project funded by the New Zealand government in the early 1990′s for investigating the application of machine learning to agricultural domains. The software came about through the perceived need for a unified workbench that would allow researchers easy access to state-of-the-art techniques in machine learning. At the time of the project?s inception in 1992, learning algorithms were available in various languages, for use on different platforms, and operated on a variety of data formats.

"F4S: In which language(s) and platform(s) is the project developed?

"Originally, the workbench was developed to run under Unix systems and was written primarily in C, with some Prolog-based evaluation routines and a TCL/TK-based user interface. However, by the late 1990′s it was becoming difficult to maintain and difficult for users to get installed and working. This was due to factors such as changes to supporting libraries, management of dependencies and complexity of configuration. In 1999 the software was completely re-written in Java."

Complete Story

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