Project details for python weka wrapper

Screenshot python weka wrapper 0.1.11

by fracpete - September 25, 2014, 00:39:02 CET [ Project Homepage BibTeX Download ]

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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. It does not provide any graphical frontend, but some basic plotting and graph visualizations are available through matplotlib and pygraphviz.

Changes to previous version:
  • moved wekaexamples module to separate github project: https://github.com/fracpete/python-weka-wrapper-examples
  • added "stratify", "train_cv" and "test_cv" methods to the Instances class
  • fixed "to_summary" method of the Evaluation class: failed when providing a custom title
BibTeX Entry: Download
Supported Operating Systems: Agnostic
Data Formats: Arff, Csv, Libsvm, Xrff
Tags: Machine Learning, Weka
Archive: download here

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