Description:

A thin Python wrapper that uses the javabridge Python library to communicate with a Java Virtual Machine executing Weka API calls. Offers all major APIs, like data generators, loaders, savers, filters, classifiers, clusterers, attribute selection, associations and experiments. Weka packages can be listed/installed/uninstalled as well. However, it does not provide any graphical frontend at this stage.

Changes to previous version:

• added matrix plot
• added scatter plot for two attributes
• fixes in constructors of classes
• added MultiFilter convenience class
• predictions (of classifiers) can now be collected and output using the PredictionOutput class
• added support for attribute statistics

BibTeX Entry: Download

Supported Operating Systems: Agnostic

Data Formats: Arff, Csv, Libsvm, Xrff

Tags: Machine Learning, Weka

Archive: download here

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