Python3 wrapper for the Weka Machine Learning Workbench
Project description
The python-weka-wrapper3 package makes it easy to run Weka algorithms and filters from within Python. It offers access to Weka API using thin wrappers around JNI calls using the javabridge package.
Changelog
0.1.1 (2016-10-19)
plot_learning_curve method of module weka.plot.classifiers now accepts a list of test sets; * is index of test set in label template string
added missing_value() methods to weka.core.dataset module and Instance class
output variable y for convenience method create_instances_from_lists in module weka.core.dataset is now optional
added convenience method create_instances_from_matrices to weka.core.dataset module to easily create an Instances object from numpy matrices (x and y)
0.1.0 (2016-05-09)
initial release of Python3 port
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