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.

Changes to previous version:

NB: This release is not backwards compatible!

• requires "JavaBridge" 1.0.9 at least
• moved from Java-like get/set ("getIndex()" and "setIndex(int)") to nicer Python properties
• using Python properties (also only read-only ones) wherevere possible
• added "weka.core.version" for accessing the Weka version currently in use
• added "jwrapper" and "jclasswrapper" methods to "JavaObject" class (the mother of all objects in python-weka-wrapper) to allow generic access to an object's methods: http://pythonhosted.org//javabridge/highlevel.html#wrapping-java-objects-using-reflection
• added convenience methods "class_is_last()" and "class_is_first()" to "weka.core.Instances" class
• added convenience methods "delete_last_attribute()" and "delete_first_attribute()" to "weka.core.Instances" class

BibTeX Entry: Download

Supported Operating Systems: Agnostic

Data Formats: Arff, Csv, Libsvm, Xrff

Tags: Machine Learning, Weka

Archive: download here

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