Examples with Matrix org.apache.ignite.ml.math.Matrix used on opensource projects

Example 31 with Matrix

use of org.apache.ignite.ml.math.Matrix in project ignite by apache.

the class SingularValueDecompositionTest method rowsLessThanColumnsTest.

/**
 */
@Test
public void rowsLessThanColumnsTest() {
    DenseLocalOnHeapMatrix m = new DenseLocalOnHeapMatrix(new double[][] { { 2.0d, -1.0d, 0.0d }, { -1.0d, 2.0d, -1.0d } });
    SingularValueDecomposition dec = new SingularValueDecomposition(m);
    assertEquals("Unexpected value for singular values size.", 2, dec.getSingularValues().length);
    Matrix s = dec.getS();
    Matrix u = dec.getU();
    Matrix v = dec.getV();
    Matrix covariance = dec.getCovariance(0.5);
    assertNotNull("Matrix s is expected to be not null.", s);
    assertNotNull("Matrix u is expected to be not null.", u);
    assertNotNull("Matrix v is expected to be not null.", v);
    assertNotNull("Covariance matrix is expected to be not null.", covariance);
    dec.destroy();
}

Example 32 with Matrix

use of org.apache.ignite.ml.math.Matrix in project ignite by apache.

the class SingularValueDecompositionTest method basicTest.

/**
 */
private void basicTest(Matrix m) {
    SingularValueDecomposition dec = new SingularValueDecomposition(m);
    assertEquals("Unexpected value for singular values size.", 3, dec.getSingularValues().length);
    Matrix s = dec.getS();
    Matrix u = dec.getU();
    Matrix v = dec.getV();
    Matrix covariance = dec.getCovariance(0.5);
    assertNotNull("Matrix s is expected to be not null.", s);
    assertNotNull("Matrix u is expected to be not null.", u);
    assertNotNull("Matrix v is expected to be not null.", v);
    assertNotNull("Covariance matrix is expected to be not null.", covariance);
    assertTrue("Decomposition cond is expected to be positive.", dec.cond() > 0);
    assertTrue("Decomposition norm2 is expected to be positive.", dec.norm2() > 0);
    assertEquals("Decomposition rank differs from expected.", 3, dec.rank());
    assertEquals("Decomposition singular values size differs from expected.", 3, dec.getSingularValues().length);
    Matrix recomposed = (u.times(s).times(v.transpose()));
    for (int row = 0; row < m.rowSize(); row++) for (int col = 0; col < m.columnSize(); col++) assertEquals("Unexpected recomposed matrix value at (" + row + "," + col + ").", m.get(row, col), recomposed.get(row, col), 0.001);
    for (int row = 0; row < covariance.rowSize(); row++) for (int col = row + 1; col < covariance.columnSize(); col++) assertEquals("Unexpected covariance matrix value at (" + row + "," + col + ").", covariance.get(row, col), covariance.get(col, row), 0.001);
    dec.destroy();
}

Example 33 with Matrix

use of org.apache.ignite.ml.math.Matrix in project ignite by apache.

the class PivotedMatrixViewConstructorTest method pivotTest.

/**
 */
private void pivotTest(Matrix parent, int[] pivot) {
    for (int row = 0; row < parent.rowSize(); row++) for (int col = 0; col < parent.columnSize(); col++) parent.set(row, col, row * parent.columnSize() + col + 1);
    Matrix view = new PivotedMatrixView(parent, pivot);
    int rows = parent.rowSize();
    int cols = parent.columnSize();
    assertEquals("Rows in view.", rows, view.rowSize());
    assertEquals("Cols in view.", cols, view.columnSize());
    for (int row = 0; row < rows; row++) for (int col = 0; col < cols; col++) assertEquals("Unexpected value at " + row + "x" + col, parent.get(pivot[row], pivot[col]), view.get(row, col), 0d);
    int min = rows < cols ? rows : cols;
    for (int idx = 0; idx < min; idx++) view.set(idx, idx, 0d);
    for (int idx = 0; idx < min; idx++) assertEquals("Unexpected value set at " + idx, 0d, parent.get(pivot[idx], pivot[idx]), 0d);
}

Example 34 with Matrix

use of org.apache.ignite.ml.math.Matrix in project ignite by apache.

the class PivotedMatrixViewConstructorTest method basicTest.

/**
 */
@Test
public void basicTest() {
    Matrix m = new DenseLocalOnHeapMatrix(2, 2);
    int[] pivot = new int[] { 0, 1 };
    PivotedMatrixView view = new PivotedMatrixView(m, pivot);
    assertEquals("Rows in view.", m.rowSize(), view.rowSize());
    assertEquals("Cols in view.", m.columnSize(), view.columnSize());
    assertTrue("Row pivot array in view.", Arrays.equals(pivot, view.rowPivot()));
    assertTrue("Col pivot array in view.", Arrays.equals(pivot, view.columnPivot()));
    Assert.assertEquals("Base matrix in view.", m, view.getBaseMatrix());
    assertEquals("Row pivot value in view.", 0, view.rowPivot(0));
    assertEquals("Col pivot value in view.", 0, view.columnPivot(0));
    assertEquals("Row unpivot value in view.", 0, view.rowUnpivot(0));
    assertEquals("Col unpivot value in view.", 0, view.columnUnpivot(0));
    Matrix swap = view.swap(1, 1);
    for (int row = 0; row < view.rowSize(); row++) for (int col = 0; col < view.columnSize(); col++) assertEquals("Unexpected swap value set at (" + row + "," + col + ").", view.get(row, col), swap.get(row, col), 0d);
    // noinspection EqualsWithItself
    assertTrue("View is expected to be equal to self.", view.equals(view));
    // noinspection ObjectEqualsNull
    assertFalse("View is expected to be not equal to null.", view.equals(null));
}

Example 35 with Matrix

use of org.apache.ignite.ml.math.Matrix in project ignite by apache.

the class SparseDistributedBlockMatrixTest method testCopy.

/**
 */
public void testCopy() {
    IgniteUtils.setCurrentIgniteName(ignite.configuration().getIgniteInstanceName());
    cacheMatrix = new SparseBlockDistributedMatrix(rows, cols);
    cacheMatrix.set(rows - 1, cols - 1, 1);
    Matrix newMatrix = cacheMatrix.copy();
    assert newMatrix.columnSize() == cols;
    assert newMatrix.rowSize() == rows;
    assert newMatrix.get(rows - 1, cols - 1) == 1;
}