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Multi-label classifiers and evaluation procedures using the Weka machine learning framework.
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Waikato/meka
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[Notes] -VERSION refers to the current version of meka, e.g., -1.0 [Compiling] To compile meka, and produce meka-VERSION.jar: ant jar [Running] For example, just type: java -cp "lib/*" weka.classifiers.multilabel.BR -t data/Music.arff -W weka.classifiers.bayes.NaiveBayes Or, if you have meka-VERSION.jar and weka.jar in your classpath, just: java weka.classifiers.multilabel.BR -t data/Music.arff -W weka.classifiers.bayes.NaiveBayes BR is the multi-label classifier, which in this case takes NaiveBayes as a base classifier. Run the following if you want to know what options are possible: java weka.classifiers.multilabel.BR -h For starting the MEKA Explorer, use the following command: - Windows start.bat - Linux/Unix/Mac ./start.sh
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Multi-label classifiers and evaluation procedures using the Weka machine learning framework.