Description:

A thin Python3 wrapper that uses the javabridge Python library to communicate with a Java Virtual Machine executing Weka API calls. Offers all major APIs, like data generators, loaders, savers, filters, classifiers, clusterers, attribute selection, associations and experiments. Weka packages can be listed/installed/uninstalled as well. It does not provide any graphical frontend, but some basic plotting and graph visualizations are available through matplotlib and pygraphviz.

Changes to previous version:

• 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

BibTeX Entry: Download

Supported Operating Systems: Agnostic

Data Formats: Arff, Csv, Libsvm, Xrff

Tags: Machine Learning, Weka

Archive: download here

Other available revisons

Version	Changelog	Date
0.1.4	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	February 18, 2018, 04:54:03
0.1.3	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.	August 23, 2017, 01:18:36
0.1.2	"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	January 4, 2017, 10:27:40
0.1.1	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)	October 27, 2016, 23:46:52
0.1.0	Initial Announcement on mloss.org.	October 27, 2016, 23:14:20

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