Metadata-Version: 1.1
Name: python-weka-wrapper3
Version: 0.1.1
Summary: Python3 wrapper for the Weka Machine Learning Workbench
Home-page: https://github.com/fracpete/python-weka-wrapper3
Author: Peter "fracpete" Reutemann
Author-email: pythonwekawrapper at gmail dot com
License: GNU General Public License version 3.0 (GPLv3)
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
        
        
        
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: GNU General Public License (GPL)
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Programming Language :: Python :: 3
