Python wrapper for the Java machine learning workbench Weka using the javabridge library.
Requirements:
- Python 3
- javabridge (>= 1.0.14)
- matplotlib (optional)
- pygraphviz (optional)
- PIL (optional)
- JDK 8 or later (OpenJDK 11 recommended)
Uses:
- Weka (3.9.5)
Detailed instructions on installing the library on various operating systems are located here:
http://fracpete.github.io/python-weka-wrapper3/install.html
Please note, that you need a build environment to compile some libraries from source.
You can post questions, patches or enhancement requests in the following Google Group:
https://groups.google.com/forum/#!forum/python-weka-wrapper
- 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.
The complete documentation for the library is available from here:
http://fracpete.github.io/python-weka-wrapper3/
For viewing recent download statistics, go to pypistats:
https://pypistats.org//api/packages/python-weka-wrapper3/recent