jar

nz.ac.waikato.cms.weka : wekaPython

Maven & Gradle

Nov 25, 2022

wekaPython · Integration with CPython for Weka. Python version 2.7.x or higher is required. Also requires the following packages to be installed in python: numpy, pandas, matplotlib and scikit-learn. This package provides a wrapper classifier and clusterer that, between them, cover 60+ scikit-learn algorithms. It also provides a general scripting step for the Knowlege Flow along with scripting plugin environments for the Explorer and Knowledge Flow.

Table Of Contents

Latest Version

Download nz.ac.waikato.cms.weka : wekaPython JAR file - Latest Versions:

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Version Vulnerabilities Size Updated
1.0.x

View Java Class Source Code in JAR file

  1. Download JD-GUI to open JAR file and explore Java source code file (.class .java)
  2. Click menu "File → Open File..." or just drag-and-drop the JAR file in the JD-GUI window wekaPython-1.0.18.jar file.
    Once you open a JAR file, all the java classes in the JAR file will be displayed.

weka.gui.explorer

├─ weka.gui.explorer.PythonExplorerPanel.class - [JAR]

weka.gui

├─ weka.gui.PythonPanel.class - [JAR]

weka.python

├─ weka.python.PythonSession.class - [JAR]

├─ weka.python.ServerUtils.class - [JAR]

├─ weka.python.SessionMutex.class - [JAR]

weka.knowledgeflow.steps

├─ weka.knowledgeflow.steps.PythonScriptExecutor.class - [JAR]

weka.gui.knowledgeflow

├─ weka.gui.knowledgeflow.PythonPerspective.class - [JAR]

weka.clusterers

├─ weka.clusterers.ScikitLearnClusterer.class - [JAR]

weka.classifiers.sklearn

├─ weka.classifiers.sklearn.ScikitLearnClassifier.class - [JAR]

weka.gui.knowledgeflow.steps

├─ weka.gui.knowledgeflow.steps.PythonScriptExecutorStepEditorDialog.class - [JAR]