Metadata-Version: 2.1
Name: QtWekaWrapper
Version: 0.0.2
Summary: A Python wrapper for the Weka graphics .
Home-page: https://github.com/Nicusor97/WekaPythonWrapper
Author: Picatureanu Nicusor
Author-email: nicolaepicatureanu@gmail.com
License: MIT License
Description: Weka - Python wrapper for Weka Graphics
        ==========================================
        
        Overview
        --------
        
        Provides a convenient wrapper for calling Weka from Python to generate a graph with the data from an arff file.
        
        Installation
        ------------
        
        First install the Weka and LibSVM Java libraries. On Debian/Ubuntu this is simply:
        
            sudo apt-get install weka libsvm-java
        
        Then install the Python package with pip:
        
            sudo pip install QtWekaWrapper
        
        You can find the module on the [PyPi](https://pypi.org/project/QtWekaWrapper/).
        
        Usage
        -----
        
        Create a Python 3 environment with the 'virtualenv' module and after activate it. Install the module with `pip install QtWekaWrapper` command and you can instantiate the qt window where the arff file will be loaded:
        
            from QtWekaWrapper import qtwekawrapper
            window = qtwekawrapper.run_qt_window()
        
        Development
        -----------
        
        Tests require the Python development headers to be installed, which you can install on Ubuntu with:
        
            sudo apt-get install python-dev python3-dev python3.4-dev
        
        To run unittests across multiple Python versions, install:
        
            sudo apt-get install python3.4-minimal python3.4-dev python3.5-minimal python3.5-dev
        
        To run all [tests](http://tox.readthedocs.org/en/latest/):
        
            export TESTNAME=; tox
        
        
Platform: OS Independent
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Operating System :: OS Independent
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Text Processing :: General
Description-Content-Type: text/markdown
