Example usage for org.apache.commons.lang3 ArrayUtils toPrimitive

Introduction

In this page you can find the example usage for org.apache.commons.lang3 ArrayUtils toPrimitive.

Prototype

public static boolean[] toPrimitive(final Boolean[] array)

Source Link

Document

Converts an array of object Booleans to primitives.

This method returns null for a null input array.

Usage

From source file:de.hsheilbronn.mi.process.AbstractSvmTool.java

public static svm_parameter unwrap(SvmConfiguration configuration) {
    svm_parameter param = new svm_parameter();

    param.svm_type = configuration.getSvmType().getNumericType();
    param.kernel_type = configuration.getKernelType().getNumericType();
    param.degree = configuration.getDegree();
    param.gamma = configuration.getGamma();
    param.coef0 = configuration.getCoef0();
    param.nu = configuration.getNu();//w ww.  ja  v a  2  s.  c o  m
    param.cache_size = configuration.getCacheSize();
    param.C = configuration.getCost();
    param.eps = configuration.getEps();
    param.p = configuration.getP();
    param.shrinking = configuration.getShrinking();
    param.probability = configuration.getProbability();
    param.nr_weight = configuration.getNrWeight();

    List<Integer> weightLabel = configuration.getWeightLabel();

    param.weight_label = ArrayUtils.toPrimitive(weightLabel.toArray(new Integer[weightLabel.size()]));
    List<Double> weight = configuration.getWeight();

    param.weight = ArrayUtils.toPrimitive(weight.toArray(new Double[weight.size()]));

    if (configuration.isQuietMode()) {
        svm.svm_set_print_string_function(new svm_print_interface() {
            @Override
            public void print(String s) {
                //nothing to do here...
            }
        });
    }
    return param;
}

From source file:ml.dmlc.xgboost4j.java.example.util.DataLoader.java

public static DenseData loadCSVFile(String filePath) throws IOException {
    DenseData denseData = new DenseData();

    File f = new File(filePath);
    FileInputStream in = new FileInputStream(f);
    BufferedReader reader = new BufferedReader(new InputStreamReader(in, "UTF-8"));

    denseData.nrow = 0;//  www  . j av  a  2  s  . c o  m
    denseData.ncol = -1;
    String line;
    List<Float> tlabels = new ArrayList<>();
    List<Float> tdata = new ArrayList<>();

    while ((line = reader.readLine()) != null) {
        String[] items = line.trim().split(",");
        if (items.length == 0) {
            continue;
        }
        denseData.nrow++;
        if (denseData.ncol == -1) {
            denseData.ncol = items.length - 1;
        }

        tlabels.add(Float.valueOf(items[items.length - 1]));
        for (int i = 0; i < items.length - 1; i++) {
            tdata.add(Float.valueOf(items[i]));
        }
    }

    reader.close();
    in.close();

    denseData.labels = ArrayUtils.toPrimitive(tlabels.toArray(new Float[tlabels.size()]));
    denseData.data = ArrayUtils.toPrimitive(tdata.toArray(new Float[tdata.size()]));

    return denseData;
}

From source file:net.larry1123.elec.util.config.fieldhanders.floats.FloatArrayWrapFieldHandler.java

/**
 * {@inheritDoc}//from   w  ww .ja  va 2  s. com
 */
@Override
public void setToFile(Float[] value) {
    if (ArrayUtils.isNotEmpty(value)) {
        float[] temp = ArrayUtils.toPrimitive(value);
        getPropertiesFile().setFloatArray(getPropertyKey(), temp, getSpacer());
    }
}

From source file:net.larry1123.elec.util.config.fieldhanders.longs.LongArrayWrapFieldHandler.java

/**
 * {@inheritDoc}//  w w  w . j a v  a 2  s. co m
 */
@Override
public void setToFile(Long[] value) {
    if (ArrayUtils.isNotEmpty(value)) {
        getPropertiesFile().setLongArray(getPropertyKey(), ArrayUtils.toPrimitive(value), getSpacer());
    }
}

From source file:net.larry1123.elec.util.config.fieldhanders.shorts.ShortArrayWrapFieldHandler.java

/**
 * {@inheritDoc}//from  w w w.j a  v  a2  s  .c om
 */
@Override
public void setToFile(Short[] value) {
    if (ArrayUtils.isNotEmpty(value)) {
        getPropertiesFile().setShortArray(getPropertyKey(), ArrayUtils.toPrimitive(value), getSpacer());
    }
}

From source file:net.larry1123.elec.util.config.fieldhanders.doubles.DoubleArrayWrapFieldHandler.java

/**
 * {@inheritDoc}/*from   ww w. j  a v  a2 s  .com*/
 */
@Override
public void setToFile(Double[] value) {
    if (ArrayUtils.isNotEmpty(value)) {
        getPropertiesFile().setDoubleArray(getPropertyKey(), ArrayUtils.toPrimitive(value), getSpacer());
    }
}

From source file:net.larry1123.elec.util.config.fieldhanders.intergers.IntegerArrayWrapFieldHandler.java

/**
 * {@inheritDoc}//from   ww  w . j  av  a2s.  c  o m
 */
@Override
public void setToFile(Integer[] value) {
    if (ArrayUtils.isNotEmpty(value)) {
        getPropertiesFile().setIntArray(getPropertyKey(), ArrayUtils.toPrimitive(value), getSpacer());
    }
}

From source file:main.java.edu.isistan.genCom.evolutive.ag.functions.FitnessIndependence.java

@Override
public double getFitness(List<Investigador> comission) {
    double result = 0;
    double diametro = red.getDiameter();
    double minDistancia = Double.valueOf(diametro);
    double sumDistancias = 0;

    List<Double> distancias = red.getDistancesIn(comission);

    DataSet distanciasStat = new DataSet(ArrayUtils.toPrimitive(distancias.toArray(new Double[0])));

    minDistancia = distanciasStat.getMinimum();
    sumDistancias = distanciasStat.getAggregate();

    if (!distancias.isEmpty())
        result = sumDistancias / distancias.size();

    // Normaliza el resultado
    result = (result + minDistancia) / (2 * diametro);

    return result;
}

From source file:io.cortical.retina.model.TestDataHarness.java

/**
 * Create dummy  {@link Fingerprint}./* w  ww  .  j  a  va  2 s  .  c  o m*/
 * @param sparsity      percentage of on bits
 * @return dummy fingerprint.
 */
public static Fingerprint createFingerprint(double sparsity) {
    Random random = new Random(SEED);
    Set<Integer> positionSet = new LinkedHashSet<>();
    while (positionSet.size() <= ((double) (MAX_POSITION)) * sparsity) {
        positionSet.add(random.nextInt(MAX_POSITION));
    }

    Integer[] positionsInteger = new Integer[FINGERPRINT_LENGTH];
    positionsInteger = positionSet.toArray(positionsInteger);
    sort(positionsInteger);
    return new Fingerprint(ArrayUtils.toPrimitive(positionsInteger));
}

From source file:de.hsheilbronn.mi.process.AbstractSvmClassifier.java

private svm_model unwrap(SvmModel svmModel) {
    svm_model model = new svm_model();

    SvmMetaInformation metaInformation = svmModel.getMetaInformation();
    model.param = (unwrap(metaInformation.getSvmConfiguration()));

    model.l = (metaInformation.getAmountOfSupportVectors());
    model.nr_class = (metaInformation.getNumberOfClasses());

    List<Double> rhoConstants = metaInformation.getRhoConstants();
    model.rho = (ArrayUtils.toPrimitive(rhoConstants.toArray(new Double[rhoConstants.size()])));
    List<Double> probabilityA = metaInformation.getProbabilityA();
    model.probA = (ArrayUtils.toPrimitive(probabilityA.toArray(new Double[probabilityA.size()])));
    List<Double> probabilityB = metaInformation.getProbabilityB();
    model.probB = (ArrayUtils.toPrimitive(probabilityB.toArray(new Double[probabilityB.size()])));
    List<Integer> labelForEachClass = metaInformation.getLabelForEachClass();
    model.label = ((ArrayUtils.toPrimitive(labelForEachClass.toArray(new Integer[labelForEachClass.size()]))));
    List<Integer> numberOfSupportVectorsForEachClass = metaInformation.getNumberOfSupportVectorsForEachClass();
    model.nSV = (ArrayUtils.toPrimitive(numberOfSupportVectorsForEachClass
            .toArray(new Integer[numberOfSupportVectorsForEachClass.size()])));

    model.sv_coef = (PrimitiveHelper.doubleMapTo2dArray(svmModel.getSvCoefficients()));
    model.SV = PrimitiveHelper.svmFeatureMapTo2dArray(svmModel.getSupportVectors());

    return model;
}