Examples with DenseVector org.apache.ignite.ml.math.primitives.vector.impl.DenseVector used on opensource projects

Example 96 with DenseVector

use of org.apache.ignite.ml.math.primitives.vector.impl.DenseVector in project ignite by apache.

the class BlasTest method testAxpySparseArray.

/**
 * Test 'axpy' operation for sparse vector and array-based vector.
 */
@Test
public void testAxpySparseArray() {
    DenseVector y = new DenseVector(new double[] { 1.0, 2.0 });
    double a = 2.0;
    SparseVector x = sparseFromArray(new double[] { 1.0, 2.0 });
    SparseVector exp = (SparseVector) x.times(a).plus(y);
    Blas.axpy(a, x, y);
    Assert.assertTrue(elementsEqual(exp, y));
}

Example 97 with DenseVector

use of org.apache.ignite.ml.math.primitives.vector.impl.DenseVector in project ignite by apache.

the class BlasTest method testScalDense.

/**
 * Test 'scal' operation for dense matrix.
 */
@Test
public void testScalDense() {
    double[] data = new double[] { 1.0, 1.0 };
    double alpha = 2.0;
    DenseVector v = new DenseVector(data);
    Vector exp = new DenseVector(data, true).times(alpha);
    Blas.scal(alpha, v);
    Assert.assertEquals(v, exp);
}

Example 98 with DenseVector

use of org.apache.ignite.ml.math.primitives.vector.impl.DenseVector in project ignite by apache.

the class BlasTest method testSprSparseDense2.

/**
 * Test 'spr' operation for sparse vector v (sparse in representation, sparse in fact) and dense matrix A.
 */
@Test
public void testSprSparseDense2() {
    double alpha = 3.0;
    SparseVector v = new SparseVector(2);
    v.set(0, 1);
    DenseVector u = new DenseVector(new double[] { 3.0, 13.0, 20.0, 0.0 });
    // m is alpha * v * v^t
    DenseMatrix m = (DenseMatrix) new DenseMatrix(new double[][] { { 1.0, 0.0 }, { 0.0, 0.0 } }, StorageConstants.COLUMN_STORAGE_MODE).times(alpha);
    DenseMatrix a = new DenseMatrix(new double[][] { { 3.0, 0.0 }, { 13.0, 20.0 } }, StorageConstants.COLUMN_STORAGE_MODE);
    // m := alpha * v * v.t + A
    Blas.spr(alpha, v, u);
    DenseMatrix mu = fromVector(u, a.rowSize(), StorageConstants.COLUMN_STORAGE_MODE, (i, j) -> i >= j);
    Assert.assertEquals(m.plus(a), mu);
}

Example 99 with DenseVector

use of org.apache.ignite.ml.math.primitives.vector.impl.DenseVector in project ignite by apache.

the class BlasTest method testSprSparseDense1.

/**
 * Test 'spr' operation for sparse vector v (sparse in representation, dense in fact) and dense matrix A.
 */
@Test
public void testSprSparseDense1() {
    double alpha = 3.0;
    SparseVector v = sparseFromArray(new double[] { 1.0, 2.0 });
    DenseVector u = new DenseVector(new double[] { 3.0, 13.0, 20.0, 0.0 });
    DenseMatrix a = new DenseMatrix(new double[][] { { 3.0, 0.0 }, { 13.0, 20.0 } }, StorageConstants.COLUMN_STORAGE_MODE);
    DenseMatrix exp = (DenseMatrix) new DenseMatrix(new double[][] { { 1.0, 0.0 }, { 2.0, 4.0 } }, StorageConstants.COLUMN_STORAGE_MODE).times(alpha).plus(a);
    // m := alpha * v * v.t + A
    Blas.spr(alpha, v, u);
    DenseMatrix mu = fromVector(u, a.rowSize(), StorageConstants.COLUMN_STORAGE_MODE, (i, j) -> i >= j);
    Assert.assertEquals(exp, mu);
}

Example 100 with DenseVector

use of org.apache.ignite.ml.math.primitives.vector.impl.DenseVector in project ignite by apache.

the class DistanceTest method setup.

/**
 */
@Before
public void setup() {
    data2 = new double[] { 2.0, 1.0, 0.0 };
    v1 = new DenseVector(new double[] { 0.0, 0.0, 0.0 });
    v2 = new DenseVector(data2);
}