Library for making Weka algorithms available within scikit-learn. Relies on the python-weka-wrapper3 library.
Project description
The sklearn-weka-plugin library integrates Weka algorithms in scikit-learn using Python 3. It makes use of the python-weka-wrapper3 library for handling the Java Virtual Machine.
Examples can be found at:
https://github.com/fracpete/sklearn-weka-plugin-examples
Changelog
0.0.4 (2021-12-17)
fixed sorting of labels in to_instances method in module sklweka.dataset
redoing X when no class present in load_arff method (module sklweka.dataset)
added load_dataset method in module sklweka.dataset that uses Weka to load the data before converting it into sklearn data structures (slower, but more flexible)
0.0.3 (2021-10-26)
added support for generating data via Weka’s data generators
0.0.2 (2021-04-12)
requiring python-weka-wrapper3 version 0.2.1 at least in order to offer pickle support
0.0.1 (2021-03-28)
initial release
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