Project details for python weka wrapper

Screenshot python weka wrapper 0.1.12

by fracpete - October 17, 2014, 00:16:26 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:
  • added "create_string" class method to the "Attribute" class for creating a string attribute
  • ROC/PRC curves can now consist of multiple plots (ie multiple class labels)
  • switched command-line option handling from "getopt" to "argparse"
  • fixed Instance.get_dataset(self) method
  • added iterators for: rows/attributes in dataset, values in dataset row
  • incremental loaders can be iterated now
BibTeX Entry: Download
Supported Operating Systems: Agnostic
Data Formats: Arff, Csv, Libsvm, Xrff
Tags: Machine Learning, Weka
Archive: download here

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