Example usage for weka.classifiers.functions SMO main

Introduction

In this page you can find the example usage for weka.classifiers.functions SMO main.

Prototype

public static void main(String[] argv) 

Source Link

Document

Main method for testing this class.

Usage

From source file:classifier.page.CreateWekaInput.java

License:Open Source License

public static void main(String[] args) {
    StopList st = null;//from w ww .j a v  a2  s.  co  m
    try {
        String cfgDir = args[0];
        String stoplistFile = cfgDir + "/stoplist.txt";
        st = new classifier.util.string.StopListArquivo(stoplistFile);
        String trainingPath = args[1];
        File dir = new File(trainingPath);
        File dirTest = null;
        CreateWekaInput createwekainput = new CreateWekaInput(dir, dirTest, st);
        String outputPath = args[2];
        createwekainput.centroid2Weka(trainingPath + "/weka.arff");

        SMO.main(new String[] { "-M", "-d", outputPath + "/pageclassifier.model", "-t",
                trainingPath + "/weka.arff" });
    } catch (MalformedURLException ex1) {
        ex1.printStackTrace();
    } catch (IOException ex1) {
        ex1.printStackTrace();
    } catch (SAXException ex1) {
        ex1.printStackTrace();
    }
}

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From source file:focusedCrawler.target.classifier.WekaTargetClassifierBuilder.java

License:Open Source License

public static void trainModel(String trainingPath, String outputPath, String learner) {
    if (learner == null) {
        learner = "SMO";
    }//w  w w  .  ja  v  a 2 s .  c  o  m

    System.out.println("Training " + learner + " model...");
    if (learner.equals("SMO")) {
        SMO.main(new String[] { "-M", "-d", outputPath + "/pageclassifier.model", "-t",
                trainingPath + "/weka.arff", "-C", "0.01" });
    } else if (learner.equals("RandomForest")) {
        RandomForest.main(new String[] {
                //              "-K", "5", // k-fold cross validation
                "-I", "100", // Number of trees to build
                "-d", outputPath + "/pageclassifier.model", "-t", trainingPath + "/weka.arff" });
    } else {
        System.out.println("Unknow learner: " + learner);
        return;
    }
}

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