Example usage for weka.core Instance toDoubleArray

Introduction

In this page you can find the example usage for weka.core Instance toDoubleArray.

Prototype

public double[] toDoubleArray();

Source Link

Document

Returns the values of each attribute as an array of doubles.

Usage

From source file:mulan.transformations.BinaryRelevanceTransformation.java

License:Open Source License

/**
 * Remove all label attributes except label at position indexToKeep
 * @param instance //w  w w .j a  v  a 2 s. c o m
 * @param labelIndices 
 * @param indexToKeep 
 * @return transformed Instance
 */
public static Instance transformInstance(Instance instance, int[] labelIndices, int indexToKeep) {
    double[] values = instance.toDoubleArray();
    double[] transformedValues = new double[values.length - labelIndices.length + 1];

    int counterTransformed = 0;
    boolean isLabel = false;

    for (int i = 0; i < values.length; i++) {
        for (int j = 0; j < labelIndices.length; j++) {
            if (i == labelIndices[j] && i != indexToKeep) {
                isLabel = true;
                break;
            }
        }

        if (!isLabel) {
            transformedValues[counterTransformed] = instance.value(i);
            counterTransformed++;
        }
        isLabel = false;
    }

    Instance transformedInstance = DataUtils.createInstance(instance, 1, transformedValues);
    return transformedInstance;
}

From source file:mulan.transformations.regression.SingleTargetTransformation.java

License:Open Source License

/**
 * Remove all target attributes except target at position indexToKeep.
 * //from  w  w w . j  a v a2 s  .co m
 * @param instance the instance to be transformed
 * @param targetIndices the target indices to transform
 * @param indexToKeep the target to keep
 * @return transformed Instance
 */
public static Instance transformInstance(Instance instance, int[] targetIndices, int indexToKeep) {
    double[] values = instance.toDoubleArray();
    double[] transformedValues = new double[values.length - targetIndices.length + 1];

    int counterTransformed = 0;
    boolean isTarget = false;

    for (int i = 0; i < values.length; i++) {
        for (int j = 0; j < targetIndices.length; j++) {
            if (i == targetIndices[j] && i != indexToKeep) {
                isTarget = true;
                break;
            }
        }

        if (!isTarget) {
            transformedValues[counterTransformed] = instance.value(i);
            counterTransformed++;
        }
        isTarget = false;
    }

    Instance transformedInstance = DataUtils.createInstance(instance, 1, transformedValues);
    return transformedInstance;
}

From source file:mulan.transformations.RemoveAllLabels.java

License:Open Source License

public static Instance transformInstance(Instance instance, int[] labelIndices) {
    double[] oldValues = instance.toDoubleArray();
    double[] newValues = new double[oldValues.length - labelIndices.length];
    int counter1 = 0;
    int counter2 = 0;
    for (int i = 0; i < oldValues.length; i++) {
        if (counter1 < labelIndices.length)
            if (i == labelIndices[counter1]) {
                counter1++;//from  ww  w.ja v a 2 s. co m
                continue;
            }
        newValues[counter2] = oldValues[i];
        counter2++;
    }
    return DataUtils.createInstance(instance, instance.weight(), newValues);
}

From source file:org.dynamicfactory.property.InstanceFactory.java

License:Open Source License

@Override
public String exportToString(Instance type, Graph g) {
    double weight = type.weight();
    double[] values = type.toDoubleArray();
    StringBuffer buffer = new StringBuffer();
    buffer.append(Double.toString(weight));
    for (int i = 0; i < values.length; ++i) {
        buffer.append(",").append(Double.toString(values[i]));
    }/*from w ww  .java 2s  . com*/
    return buffer.toString();
}

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

License:Open Source License

/**
 * {@inheritDoc}//from w ww  . jav a2  s  .c  o m
 */
@Override
public void updateClassifier(Instance instance) throws Exception {
    if (m_min == null || m_max == null) {
        m_min = new DenseInstance(1.0, instance.toDoubleArray());
        m_max = new DenseInstance(1.0, instance.toDoubleArray());
    } else {
        for (int a = 0; a < instance.numAttributes() - 1; a++) {
            m_min.setValue(a, Math.min(instance.value(a), m_min.value(a)));
            m_max.setValue(a, Math.max(instance.value(a), m_max.value(a)));
        }
    }

}

From source file:svmal.SVMStrategy.java

public static Instances InstancesToInstances2(Instances insts) {
    Instances result = new Instances(insts, 0, 0);
    for (int i = 0; i < insts.numInstances(); i++) {
        Instance orig = insts.get(i);
        Instance2 inst2 = new Instance2(orig.weight(), orig.toDoubleArray());
        inst2.setDataset(result);//w  w w  .  j ava2  s.  com
        result.add(inst2);
    }
    return result;
}

From source file:tml.utils.DistanceLib.java

License:Apache License

public static double euclidean(Instance inst1, Instance inst2) {
    DoubleVector x = new DoubleVector(inst1.toDoubleArray());
    DoubleVector y = new DoubleVector(inst2.toDoubleArray());

    double distance = x.minus(y).norm2();
    return distance;
}

From source file:tml.utils.DistanceLib.java

License:Apache License

public static double cosine(Instance inst1, Instance inst2) {
    DoubleVector x = new DoubleVector(inst1.toDoubleArray());
    DoubleVector y = new DoubleVector(inst2.toDoubleArray());

    double dotXY = x.times(y).norm1();
    double cosim = dotXY / (x.norm2() * y.norm2());

    return cosim;
}

From source file:tml.utils.DistanceLib.java

License:Apache License

public static double jaccard(Instance inst1, Instance inst2) {
    DoubleVector x = new DoubleVector(inst1.toDoubleArray());
    DoubleVector y = new DoubleVector(inst2.toDoubleArray());

    double intersection = 0.0;

    for (int i = 0; i < x.size(); i++) {
        intersection += Math.min(x.get(i), y.get(i));
    }//w w  w .  j  a v a2 s.  c om
    if (intersection > 0.0) {
        double union = x.norm1() + y.norm1() - intersection;
        return intersection / union;
    } else {
        return 0.0;
    }
}

From source file:tubesduaai.FFNN.java

public double classifyInstance(Instance instnc) throws Exception {
    double[] temp = instnc.toDoubleArray();
    float ret = 0;
    int first = 0;
    while (!(is_output(first))) {
        first++;//w  w w  . ja  v  a2  s.c o  m
    }
    int imax = first;
    if (hidden_neuron == 0) {
        int i = jml_perceptron - datas.numClasses();
        for (; i < jml_perceptron; i++) {
            float out = 0;
            for (int j = 0; is_input(j); j++) {
                out += perceptron.get(j).get(i).weight * temp[j];
            }
            perceptron.get(i).get(i).output = hitung_sigmoid(out);
            ret = hitung_sigmoid(out);
        }
    }
    return get_kelas(ret);
}