Examples with DenseVector org.apache.mahout.math.DenseVector used on opensource projects

Example 6 with DenseVector

use of org.apache.mahout.math.DenseVector in project pyramid by cheng-li.

the class Vectors method concatenate.

public static Vector concatenate(Vector vector, Vector vector2) {
    Vector con = null;
    if (vector instanceof DenseVector) {
        con = new DenseVector(vector.size() + vector2.size());
    }
    if (vector instanceof RandomAccessSparseVector) {
        con = new RandomAccessSparseVector(vector.size() + vector2.size());
    }
    if (vector instanceof SequentialAccessSparseVector) {
        con = new SequentialAccessSparseVector(vector.size() + vector2.size());
    }
    for (Vector.Element nonZeros : vector.nonZeroes()) {
        int index = nonZeros.index();
        double value = nonZeros.get();
        con.set(index, value);
    }
    for (Vector.Element nonZeros : vector2.nonZeroes()) {
        int index = nonZeros.index();
        double value = nonZeros.get();
        con.set(index + vector.size(), value);
    }
    return con;
}

Example 7 with DenseVector

use of org.apache.mahout.math.DenseVector in project pyramid by cheng-li.

the class Vectors method concatenate.

public static Vector concatenate(Vector vector, double[] numbers) {
    Vector con = null;
    if (vector instanceof DenseVector) {
        con = new DenseVector(vector.size() + numbers.length);
    }
    if (vector instanceof RandomAccessSparseVector) {
        con = new RandomAccessSparseVector(vector.size() + numbers.length);
    }
    if (vector instanceof SequentialAccessSparseVector) {
        con = new SequentialAccessSparseVector(vector.size() + numbers.length);
    }
    for (Vector.Element nonZeros : vector.nonZeroes()) {
        int index = nonZeros.index();
        double value = nonZeros.get();
        con.set(index, value);
    }
    for (int i = 0; i < numbers.length; i++) {
        con.set(i + vector.size(), numbers[i]);
    }
    return con;
}

Example 8 with DenseVector

use of org.apache.mahout.math.DenseVector in project pyramid by cheng-li.

the class FusedKolmogorovFilter method generateInputsEachClass.

public List<List<Double>> generateInputsEachClass(Vector vector, int[] labels, int numClasses) {
    Vector input;
    if (vector.isDense()) {
        input = vector;
    } else {
        input = new DenseVector(vector);
    }
    List<List<Double>> inputsEachClass = new ArrayList<>();
    for (int k = 0; k < numClasses; k++) {
        inputsEachClass.add(new ArrayList<>());
    }
    for (int i = 0; i < labels.length; i++) {
        int label = labels[i];
        inputsEachClass.get(label).add(input.get(i));
    }
    return inputsEachClass;
}

Example 9 with DenseVector

use of org.apache.mahout.math.DenseVector in project pyramid by cheng-li.

the class MLACPlattScaling method predictClassProbs.

@Override
public double[] predictClassProbs(Vector vector) {
    double[] scores = scoreEstimator.predictClassScores(vector);
    Vector scoreVector = new DenseVector(scores.length);
    for (int i = 0; i < scores.length; i++) {
        scoreVector.set(i, scores[i]);
    }
    return this.logisticRegression.predictClassProbs(scoreVector);
}

Example 10 with DenseVector

use of org.apache.mahout.math.DenseVector in project pyramid by cheng-li.

the class MLPlattScaling method predictClassProb.

@Override
public double predictClassProb(Vector vector, int classIndex) {
    double score = scoreEstimator.predictClassScore(vector, classIndex);
    Vector scoreVector = new DenseVector(1);
    scoreVector.set(0, score);
    return logisticRegressions.get(classIndex).predictClassProb(scoreVector, 1);
}