To run unittests across multiple Python versions, install: sudo apt-get install python3.4-minimal python3.4-dev python3.5-minimal python3. The source code of the wrapper project is also available:. you just need to download the ptstemmer.jar and add them to your classpath. In order to use this library: you can install the unofficial package when using Weka 3.7.x. 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 PTStemmer is a stemmer library for Portuguese developed by Pedro Oliveira. 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 UsageĬreate a Python 3 environment with the 'virtualenv' module and after activate it. Installation The easiest way is to use Visual Studio 2010 with the latest F PowerPack. This post is for end users, who might have no interested in reading the implementation details, but rather knowing how to use this wrapper to perform data mining tasks in. Then install the Python package with pip: sudo pip install QtWekaWrapper WekaSharp: Tutorial for using Weka in F/.Net. On Debian/Ubuntu this is simply: sudo apt-get install weka libsvm-java Installationįirst install the Weka and LibSVM Java libraries. Provides a convenient wrapper for calling Weka from Python to generate a graph with the data from an arff file. Weka - Python wrapper for Weka Graphics Overview
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