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https://github.com/fracpete/python-weka-wrapper

Python 2.7 wrapper for Weka using javabridge.
https://github.com/fracpete/python-weka-wrapper

java machine-learning python27 weka

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Python 2.7 wrapper for Weka using javabridge.

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README

        

# END OF LIFE

**Python 2.7 has reached its [end-of-life in 2020](https://pythonclock.org/), you should consider
using the [Python 3 version](https://github.com/fracpete/python-weka-wrapper3) of this library,
as the Python 2.7 version will no longer get updates!**

# python-weka-wrapper

Python wrapper for the Java machine learning workbench [Weka](http://www.cs.waikato.ac.nz/~ml/weka/)
using the [javabridge](https://pypi.python.org/pypi/javabridge) library.

Requirements:

* Python 2.7 (for Python 3 version see [here](https://github.com/fracpete/python-weka-wrapper3))
* 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](http://fracpete.github.io/python-weka-wrapper/install.html).

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](https://github.com/fracpete/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:

* [Full documentation](http://fracpete.github.io/python-weka-wrapper/)
* Shortcuts
* [Command-line](http://fracpete.github.io/python-weka-wrapper/commandline.html)
* [API](http://fracpete.github.io/python-weka-wrapper/api.html)
* [Examples](http://fracpete.github.io/python-weka-wrapper/examples.html)