Example usage for weka.attributeSelection Ranker getOptions

Introduction

In this page you can find the example usage for weka.attributeSelection Ranker getOptions.

Prototype

@Override
public String[] getOptions() 

Source Link

Document

Gets the current settings of ReliefFAttributeEval.

Usage

From source file:miRdup.WekaModule.java

License:Open Source License

public static void attributeSelection(File arff, String outfile) {
    // load data/*from   w ww.j  a va2 s  .  c o  m*/
    try {
        PrintWriter pw = new PrintWriter(new FileWriter(outfile));
        DataSource source = new DataSource(arff.toString());
        Instances data = source.getDataSet();
        if (data.classIndex() == -1) {
            data.setClassIndex(data.numAttributes() - 1);
        }

        AttributeSelection attrsel = new AttributeSelection();
        weka.attributeSelection.InfoGainAttributeEval eval = new weka.attributeSelection.InfoGainAttributeEval();

        weka.attributeSelection.Ranker rank = new weka.attributeSelection.Ranker();
        rank.setOptions(weka.core.Utils.splitOptions("-T -1.7976931348623157E308 -N -1"));
        if (Main.debug) {
            System.out.print("Model options: " + rank.getClass().getName().trim() + " ");
        }
        for (String s : rank.getOptions()) {
            System.out.print(s + " ");
        }
        attrsel.setEvaluator(eval);
        attrsel.setSearch(rank);
        attrsel.setFolds(10);

        attrsel.SelectAttributes(data);
        //attrsel.CrossValidateAttributes();

        System.out.println(attrsel.toResultsString());
        pw.println(attrsel.toResultsString());

        //evaluation.crossValidateModel(classifier, data, 10, new Random(1));
        pw.flush();
        pw.close();

    } catch (Exception e) {
        e.printStackTrace();
    }
}

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