python-weka-wrapper3

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

Requirements:

• Python 3
  • jpype1
  • matplotlib (optional)
  • pygraphviz (optional)
  • PIL (optional)
  • lxml (optional)
• OpenJDK 11 (or later)

Uses:

• Weka (3.9.6)

Installation

Detailed instructions on installing the library on various operating systems are located here:

https://fracpete.github.io/python-weka-wrapper3/install.html

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

Docker

python-weka-wrapper3 also offers pre-built Docker images, making it easy to run the tool without having to install it. See here for more information.

Forum

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

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

Examples

• The Examples section in the documentation demonstrates how to use the API.
• The python-weka-wrapper-examples3 repository contains plenty of example code for the various APIs.

Documentation

The complete documentation for the library is available from here:

https://fracpete.github.io/python-weka-wrapper3/

Download statistics

For viewing recent download statistics, go to pypistats:

https://pypistats.org//api/packages/python-weka-wrapper3/recent