List of timesSquared() Examples

Examples of timesSquared()

org.apache.mahout.math.Matrix.timesSquared()
org.apache.mahout.math.VectorIterable.timesSquared()
Convenience method for producing this.transpose().times(this.times(v)), which can be implemented with only one pass over the matrix, without making the transpose() call (which can be expensive if the matrix is sparse) @param v a vector with cardinality equal to getNumCols() of the recipient @return a new vector (typically a DenseVector) with cardinality equal to that of the argument. @throws CardinalityException if this.getNumCols() != v.size()

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

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

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

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

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

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

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

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

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

    Vector previousVector = state.getBasisVector(i - 2);
    double beta = 0;
    Matrix triDiag = state.getDiagonalMatrix();
    while (i < desiredRank) {
      startTime(TimingSection.ITERATE);
      Vector nextVector = isSymmetric ? corpus.times(currentVector) : corpus.timesSquared(currentVector);
      log.info("{} passes through the corpus so far...", i);
      if(state.getScaleFactor() <= 0) {
        state.setScaleFactor(calculateScaleFactor(nextVector));
      }
      nextVector.assign(new Scale(1.0 / state.getScaleFactor()));

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

    Vector previousVector = state.getBasisVector(i - 2);
    double beta = 0;
    Matrix triDiag = state.getDiagonalMatrix();
    while (i < desiredRank) {
      startTime(TimingSection.ITERATE);
      Vector nextVector = isSymmetric ? corpus.times(currentVector) : corpus.timesSquared(currentVector);
      log.info("{} passes through the corpus so far...", i);
      if (state.getScaleFactor() <= 0) {
        state.setScaleFactor(calculateScaleFactor(nextVector));
      }
      nextVector.assign(new Scale(1.0 / state.getScaleFactor()));

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