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
0.1.4 (2018-02-18)
upgraded to Weka 3.9.2
properly initializing package support now, rather than adding package jars to classpath
added weka.core.ClassHelper Java class for obtaining classes and static fields, as javabridge only uses the system class loader
0.1.3 (2017-08-23)
added check_for_modified_class_attribute method to FilterClassifier class
added complete_classname method to weka.core.classes module, which allows completion of partial classnames like .J48 to weka.classifiers.trees.J48 if there is a unique match; JavaObject.new_instance and JavaObject.check_type now make use of this functionality, allowing for instantiations like Classifier(cls=”.J48”)
jvm.start(system_cp=True) no longer fails with a KeyError: ‘CLASSPATH’ if there is no CLASSPATH environment variable defined
Libraries mtl.jar, core.jar and arpack_combined_all.jar were added as is to the weka.jar in the 3.9.1 release instead of adding their content to it. Repackaged weka.jar to fix this issue (https://github.com/fracpete/python-weka-wrapper3/issues/5)
0.1.2 (2017-01-04)
typeconv.double_matrix_to_ndarray no longer assumes a square matrix (https://github.com/fracpete/python-weka-wrapper3/issues/4)
len(Instances) now returns the number of rows in the dataset (module weka.core.dataset)
added method insert_attribute to the Instances class
added class method create_relational to the Attribute class
upgraded Weka to 3.9.1
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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