Mathematica seamlessly integrates
machine learning framework is a comprehensive extension of Mathematica into the universe of data mining. It is a multi-method system, which creates understandable, computational models from data.
WEKA is a collection of machine learning algorithms for data mining tasks. It is quite complementary to our mlf method base, especially providing Neural Network schemes.
It is available under GNU licensing.
Combines the the power of Mathematica, mlf and WEKA. It is very simple: call WEKA from Mathematica. This extends Mathematica's functionality with WEKA's library functions. This extension is unprecedented powerful in combination with mlf.
We like Mathematica, mlf and multi-method machine learning. This made us develop this interface. This is our contribution to developers of comprehensive data mining and machine learning applications.
Get it at no cost!
The current version of the Mathematica Interface for WEKA is 1.0.
The full package (50 KB) can be downloaded from our web server:
Note: the WEKA library is not provided with this package and has to be retrieved separately from the WEKA home.