Metadata-Version: 1.1
Name: python-weka-wrapper
Version: 0.1.9
Summary: Python wrapper for the Weka Machine Learning Workbench
Home-page: https://github.com/fracpete/python-weka-wrapper
Author: Peter "fracpete" Reutemann
Author-email: fracpete at gmail dot com
License: GNU General Public License version 3.0 (GPLv3)
Description: The **python-weka-wrapper** 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
        =========
        
        0.1.9 (2014-08-18)
        ------------------
        
        - added static methods to Instances class: `summary`, `merge_instances`, `append_instances`
        - added methods to Instances class: `delete_with_missing`, `equal_headers`
        
        
        0.1.8 (2014-06-26)
        ------------------
        
        - fixed installer: `MANIFEST.in` now includes `CHANGES.rst` and `DESCRIPTION.rst` as well
        
        
        0.1.7 (2014-06-26)
        ------------------
        
        - fixed `weka/plot/dataset.py` imports to avoid error when testing for matplotlib availability
        
        - `Instance.create_instance` (`weka/core/dataset.py`) now accepts Python list and Numpy array
        
        
        0.1.6 (2014-05-29)
        ------------------
        
        - added troubleshooting section for Mac OSX to documentation
        
        - recompiled helper jars with 1.6 rather than 1.7 to make it work on Mac OSX
        
        - added link to Google Group
        
        
        0.1.5 (2014-05-23)
        ------------------
        
        - added CostMatrix support in the classifier evaluation
        
        - fixed various retrievals of double arrays (accessed them incorrectly
          as float arrays), like `distributionForInstance` for a classifier
        
        - Instances object can now retrieve all (internal) values of an
          attribute/column as numpy array
        
        - added plotting of cluster assignments to `weka.plot.clusterers`
        
        - fixed `weka.core.utils.from_commandline` method
        
        - fixed `weka.classifiers.PredictionOutput` (get/set_header methods)
        
        - predictions can be turned into an `Instances` object now using
          `weka.classifiers.predictions_to_instances`
        
        
        0.1.4 (2014-05-19)
        ------------------
        
        - dependencies for plotting are now optional (pygraphviz, PIL, matplotlib)
        
        - plots now support custom titles
        
        
        0.1.3 (2014-05-17)
        ------------------
        
        - improved documentation
        
        - added PRC curve plot
        
        - aligned to PEP8 style guidelines
        
        - fixed variety of little bugs (not so commonly used methods)
        
        - fixed lib directory reference in make files for Java helper classes
        
        
        0.1.2 (2014-05-13)
        ------------------
        
        - added matrix plot
        
        - added scatter plot for two attributes
        
        - fixes in constructors of classes
        
        - added `MultiFilter` convenience class
        
        - predictions (of classifiers) can now be collected and output using
          the `PredictionOutput` class
        
        - added support for attribute statistics
        
        
        0.1.1 (2014-05-02)
        ------------------
        
        - constructors now take list of commandline options as well
        
        - added Weka package support (list/install/uninstall)
        
        - ROC plotting for classifiers
        
        - improved code documentation
        
        - added more examples
        
        - added more datasets
        
        - using javabridge 1.0.1 now
        
        
        0.1.0 (2014-04-27)
        ------------------
        
        - Initial release of Python wrapper for Weka, no GUI.
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: GNU General Public License (GPL)
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Programming Language :: Python
