python-weka-wrapper

Python wrapper for the Weka Machine Learning Workbench


Keywords
java, machine-learning, python27, weka
License
GPL-3.0
Install
pip install python-weka-wrapper==0.3.9

Documentation

python-weka-wrapper

Python wrapper for the Java machine learning workbench Weka using the javabridge library.

Python 2.7 reaches its end-of-life in 2020, you should consider using the Python 3 version of this library!

Requirements:

  • Python 2.7 (for Python 3 version see here)
    • javabridge (>= 1.0.14)
    • matplotlib (optional)
    • pygraphviz (optional)
    • PIL (optional)
  • Oracle JDK 1.8+

Uses:

  • Weka (3.9.3)

Installation

Detailed instructions and links to videos on installing the library are located here.

Please note, that you need a build environment to compile some libraries from source.

Forum

You can post questions, patches or enhancement requests in the following Google Group:

https://groups.google.com/forum/#!forum/python-weka-wrapper

Examples

See python-weka-wrapper-examples repository for example code on the various APIs. Also, check out the sphinx documentation in the doc directory. You can generate HTML documentation using the make html command in the doc directory.

Available online documentation: