Example usage for weka.clusterers ClusterEvaluation evaluateClusterer

Introduction

In this page you can find the example usage for weka.clusterers ClusterEvaluation evaluateClusterer.

Prototype

public void evaluateClusterer(Instances test, String testFileName, boolean outputModel) throws Exception 

Source Link

Document

Evaluate the clusterer on a set of instances.

Usage

From source file:adams.flow.transformer.WekaTestSetClustererEvaluator.java

License:Open Source License

/**
 * Executes the flow item./*w  w  w.j av a 2  s. c o  m*/
 *
 * @return      null if everything is fine, otherwise error message
 */
@Override
protected String doExecute() {
    String result;
    Instances test;
    ClusterEvaluation eval;
    weka.clusterers.Clusterer cls;
    CallableSource gs;
    Token output;

    result = null;

    try {
        // get test set
        test = null;
        gs = new CallableSource();
        gs.setCallableName(m_Testset);
        gs.setParent(getParent());
        gs.setUp();
        gs.execute();
        output = gs.output();
        if (output != null)
            test = (Instances) output.getPayload();
        else
            result = "No test set available!";
        gs.wrapUp();

        // evaluate clusterer
        if (result == null) {
            if (m_InputToken.getPayload() instanceof weka.clusterers.Clusterer)
                cls = (weka.clusterers.Clusterer) m_InputToken.getPayload();
            else
                cls = (weka.clusterers.Clusterer) ((WekaModelContainer) m_InputToken.getPayload())
                        .getValue(WekaModelContainer.VALUE_MODEL);
            eval = new ClusterEvaluation();
            eval.setClusterer(cls);
            eval.evaluateClusterer(test, null, m_OutputModel);
            m_OutputToken = new Token(new WekaClusterEvaluationContainer(eval, cls));
        }
    } catch (Exception e) {
        m_OutputToken = null;
        result = handleException("Failed to evaluate: ", e);
    }

    if (m_OutputToken != null)
        updateProvenance(m_OutputToken);

    return result;
}

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From source file:adams.flow.transformer.WekaTrainTestSetClustererEvaluator.java

License:Open Source License

/**
 * Executes the flow item./*from  ww  w . j av a 2  s  .c om*/
 *
 * @return      null if everything is fine, otherwise error message
 */
@Override
protected String doExecute() {
    String result;
    Instances train;
    Instances test;
    weka.clusterers.Clusterer cls;
    ClusterEvaluation eval;
    WekaTrainTestSetContainer cont;

    result = null;

    try {
        // cross-validate clusterer
        cls = getClustererInstance();
        if (cls == null)
            throw new IllegalStateException("Clusterer '" + getClusterer() + "' not found!");

        cont = (WekaTrainTestSetContainer) m_InputToken.getPayload();
        train = (Instances) cont.getValue(WekaTrainTestSetContainer.VALUE_TRAIN);
        test = (Instances) cont.getValue(WekaTrainTestSetContainer.VALUE_TEST);
        cls.buildClusterer(train);
        eval = new ClusterEvaluation();
        eval.setClusterer(cls);
        eval.evaluateClusterer(test, null, m_OutputModel);

        // broadcast result
        m_OutputToken = new Token(new WekaClusterEvaluationContainer(eval, cls));
    } catch (Exception e) {
        m_OutputToken = null;
        result = handleException("Failed to evaluate: ", e);
    }

    if (m_OutputToken != null)
        updateProvenance(m_OutputToken);

    return result;
}

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