Package org.apache.mahout.math

Examples of org.apache.mahout.math.Matrix.timesSquared()

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    Vector v = new RandomAccessSparseVector(50);
    v.assign(1.0);
    Matrix m = SolverTest.randomSequentialAccessSparseMatrix(100, 90, 50, 20, 1.0);
    DistributedRowMatrix dm = randomDistributedMatrix(100, 90, 50, 20, 1.0, false);

    Vector expected = m.timesSquared(v);
    Vector actual = dm.timesSquared(v);
    assertEquals(0.0, expected.getDistanceSquared(actual), 1.0e-9);
  }

  public void testMatrixTimesMatrix() throws Exception {
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    Vector v = new RandomAccessSparseVector(50);
    v.assign(1.0);
    Matrix m = SolverTest.randomSequentialAccessSparseMatrix(100, 90, 50, 20, 1.0);
    DistributedRowMatrix dm = randomDistributedMatrix(100, 90, 50, 20, 1.0, false);

    Vector expected = m.timesSquared(v);
    Vector actual = dm.timesSquared(v);
    assertEquals(0.0, expected.getDistanceSquared(actual), 1.0e-9);
  }

  @Test
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    Vector v = new RandomAccessSparseVector(50);
    v.assign(1.0);
    Matrix m = SolverTest.randomSequentialAccessSparseMatrix(100, 90, 50, 20, 1.0);
    DistributedRowMatrix dm = randomDistributedMatrix(100, 90, 50, 20, 1.0, false);

    Vector expected = m.timesSquared(v);
    Vector actual = dm.timesSquared(v);
    assertEquals(0.0, expected.getDistanceSquared(actual), 1.0e-9);
  }

  @Test
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    v.assign(1.0);
    Matrix m = SolverTest.randomSequentialAccessSparseMatrix(100, 90, 50, 20, 1.0);
    DistributedRowMatrix dm = randomDistributedMatrix(100, 90, 50, 20, 1.0, false);
    dm.setConf(getConfiguration());

    Vector expected = m.timesSquared(v);
    Vector actual = dm.timesSquared(v);
    assertEquals(0.0, expected.getDistanceSquared(actual), 1.0e-9);
  }

  @Test
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    Vector v = new RandomAccessSparseVector(50);
    v.assign(1.0);
    Matrix m = SolverTest.randomSequentialAccessSparseMatrix(100, 90, 50, 20, 1.0);
    DistributedRowMatrix dm = randomDistributedMatrix(100, 90, 50, 20, 1.0, false);

    Vector expected = m.timesSquared(v);
    Vector actual = dm.timesSquared(v);
    assertEquals(0.0, expected.getDistanceSquared(actual), 1.0e-9);
  }

  @Test
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    v.assign(1.0);
    Matrix m = SolverTest.randomSequentialAccessSparseMatrix(100, 90, 50, 20, 1.0);
    DistributedRowMatrix dm = randomDistributedMatrix(100, 90, 50, 20, 1.0, false);
    dm.setConf(getConfiguration());

    Vector expected = m.timesSquared(v);
    Vector actual = dm.timesSquared(v);
    assertEquals(0.0, expected.getDistanceSquared(actual), 1.0e-9);
  }

  @Test
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    Vector v = new RandomAccessSparseVector(50);
    v.assign(1.0);
    Matrix m = SolverTest.randomSequentialAccessSparseMatrix(100, 90, 50, 20, 1.0);
    DistributedRowMatrix dm = randomDistributedMatrix(100, 90, 50, 20, 1.0, false);

    Vector expected = m.timesSquared(v);
    Vector actual = dm.timesSquared(v);
    assertEquals(0.0, expected.getDistanceSquared(actual), 1.0e-9);
  }

  @Test
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    v.assign(1.0);
    Matrix m = SolverTest.randomSequentialAccessSparseMatrix(100, 90, 50, 20, 1.0);
    DistributedRowMatrix dm = randomDistributedMatrix(100, 90, 50, 20, 1.0, false);
    dm.setConf(getConfiguration());

    Vector expected = m.timesSquared(v);
    Vector actual = dm.timesSquared(v);
    assertEquals(0.0, expected.getDistanceSquared(actual), 1.0e-9);
  }

  @Test
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