WekaSharp: An F# wrapper for Weka

WekaSharp: Tutorial for using Weka in F#/.Net

Tutorial/Usage examples. This post is for end users, who might have no interested in reading the implementation details, but rather knowing how to use this wrapper to perform data mining tasks in .Net.

Installation
The easiest way is to use Visual Studio 2010 with the latest F# PowerPack. Download the release/source code at wekasharp.codeplex.com/ and change the dll references to ones at the bin\Release folder. ...
As all necessary runtimes are also included in the release, so the user does not need to download Weka or IKVM runtimes.

See also WekaSharp: An F# wrapper for Weka, Aug 23, 2010

Weka is one of the most widely used data mining software package. It contains over 50 data mining algorithms, a good GUI support and well written documents. Because of its good features, a lot data mining courses use it as an illustrative software.

However, Weka GUI enables us to perform data loading, filtering and classifier building in an interactive way, sometimes programming is still needed. For instance, GUI has poor support for parameter selection and processing 100 data sets. In these tasks, scripting is a better way. However, Java language is not declarative and it does not support interactive shell either.

F# well supports these two features, also data processing in F# in general is far better than Java. So F# and Weka are good combination.