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- 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:
- improved documentation
- added PRC curve plot
- aligned to PEP8 style guidelines
- fixed variety of little bugs (not so commonly used methods)
- fixed lib directory reference in make files for Java helper classes
- BibTeX Entry: Download
- Supported Operating Systems: Agnostic
- Data Formats: Arff, Csv, Libsvm, Xrff
- Tags: Machine Learning, Weka
- Archive: download here
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