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. It does not provide any graphical frontend, but some basic plotting and graph visualizations are available through matplotlib and pygraphviz. A simple workflow engine was added with release 0.3.0.

Changes to previous version:

• Loader.load_file method now checks whether the dataset file really exists, otherwise a previously loaded file gets loaded again without an error message (seems to be a Weka issue)
• replaced org.pentaho.packageManagement with weka.core.packageManagement as the package management code is now part of Weka rather than a third-party library
• jvm.start() no longer tries to load packages and therefore suppresses error message if $HOME/wekafiles/packages should not yet exist

BibTeX Entry: Download

Supported Operating Systems: Agnostic

Data Formats: Arff, Csv, Libsvm, Xrff

Tags: Machine Learning, Weka

Archive: download here

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