Example usage for weka.classifiers Classifier getCapabilities

Introduction

In this page you can find the example usage for weka.classifiers Classifier getCapabilities.

Prototype

public Capabilities getCapabilities();

Source Link

Document

Returns the Capabilities of this classifier.

Usage

From source file:WekaRegressor.java

License:Open Source License

public WekaRegressor(Classifier wekaClassifier) {
    if (!wekaClassifier.getCapabilities().handles(Capability.NUMERIC_CLASS))
        throw new IllegalArgumentException("The given Weka classifier ("
                + wekaClassifier.getClass().getSimpleName() + ") dosn't support regression tasks");
    this.wekaClassifier = wekaClassifier;
}

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From source file:com.rapidminer.tools.WekaLearnerCapabilities.java

License:Open Source License

public static boolean supportsCapability(Classifier classifier, LearnerCapability lc) {
    Capabilities capabilities = classifier.getCapabilities();

    if (lc == LearnerCapability.POLYNOMINAL_ATTRIBUTES) {
        return capabilities.handles(Capabilities.Capability.NOMINAL_ATTRIBUTES);
    } else if (lc == LearnerCapability.BINOMINAL_ATTRIBUTES) {
        return capabilities.handles(Capabilities.Capability.BINARY_ATTRIBUTES);
    } else if (lc == LearnerCapability.NUMERICAL_ATTRIBUTES) {
        return capabilities.handles(Capabilities.Capability.NUMERIC_ATTRIBUTES);
    } else if (lc == LearnerCapability.POLYNOMINAL_CLASS) {
        return capabilities.handles(Capabilities.Capability.NOMINAL_CLASS);
    } else if (lc == LearnerCapability.BINOMINAL_CLASS) {
        return capabilities.handles(Capabilities.Capability.BINARY_CLASS);
    } else if (lc == LearnerCapability.NUMERICAL_CLASS) {
        return capabilities.handles(Capabilities.Capability.NUMERIC_CLASS);
    } else if (lc == LearnerCapability.UPDATABLE) {
        return (classifier instanceof UpdateableClassifier);
    } else if (lc == LearnerCapability.WEIGHTED_EXAMPLES) {
        return (classifier instanceof WeightedInstancesHandler);
    }//from   www  . j a v a  2 s .  c o m
    return false;
}

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From source file:com.relationalcloud.partitioning.explanation.ExplanationHandler.java

License:Open Source License

/**
 * Train the given classifier/*from w  w  w .java2  s. c om*/
 * 
 * @param newData
 * @param classifier
 * @throws Exception
 */
public static void trainClassifier(Instances newData, Classifier classifier) throws Exception {
    // if the class attributed is not unary we proceed regularly

    // verify the Classifier can handle this dataset
    classifier.getCapabilities().testWithFail(newData);

    System.out.println("BUILDING CLASSIFIER ON INSTANCE:" + newData.toSummaryString());

    long treeTstart = System.currentTimeMillis();
    classifier.buildClassifier(newData); // build classifier
    long treeTend = System.currentTimeMillis();
    System.out.println("CLASSIFIER BUILDING TIME: " + (treeTend - treeTstart) + "ms FROM: "
            + newData.numInstances() + " instances \n" + classifier.toString());

}

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From source file:org.knime.knip.suise.node.boundarymodel.contourdata.WekaMIContourDataClassifier.java

License:Open Source License

/**
 * @param classifier a multi-instance classifier
 *//* w ww . ja  v a  2 s. c  o  m*/
public WekaMIContourDataClassifier(Classifier classifier) {
    if (!classifier.getCapabilities().handles(Capability.ONLY_MULTIINSTANCE)) {
        throw new IllegalArgumentException("Classifier can not handle multi-instances");
    }
    m_classifier = classifier;

}

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