Project details for python weka wrapper

Screenshot python weka wrapper 0.3.10

by fracpete - January 4, 2017, 10:21:33 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. A simple workflow engine was added with release 0.3.0.

Changes to previous version:
  • "types.double_matrix_to_ndarray" no longer assumes a square matrix (https://github.com/fracpete/python-weka-wrapper/issues/48)
  • "len(Instances)" now returns the number of rows in the dataset (module "weka.core.dataset")
  • added method "insert_attribute" to the "Instances" class
  • added class method "create_relational" to the "Attribute" class
  • upgraded Weka to 3.9.1
BibTeX Entry: Download
Supported Operating Systems: Agnostic
Data Formats: Arff, Csv, Libsvm, Xrff
Tags: Machine Learning, Weka
Archive: download here

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