Examples of numRows()

Examples of no.uib.cipr.matrix.io.MatrixSize.numRows()

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            throw new UnsupportedOperationException(
                    "Complex matrices are not supported");

        // Resize the matrix to correct size
        MatrixSize size = r.readMatrixSize(info);
        numRows = size.numRows();
        numColumns = size.numColumns();

        // Start reading entries
        int numEntries = size.numEntries();
        int[] row = new int[numEntries];
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Examples of no.uib.cipr.matrix.io.MatrixSize.numRows()

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    try {
      MatrixInfo info = r.readMatrixInfo();
      if (info.isComplex()) throw new IllegalArgumentException("complex matrices not supported");
      if (!info.isCoordinate()) throw new IllegalArgumentException("only coordinate matrices supported");
      MatrixSize size = r.readMatrixSize(info);
      numRows = size.numRows();
      numColumns = size.numColumns();
      links = new Linked();

      int nz = size.numEntries();
      int[] row = new int[nz];
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Examples of no.uib.cipr.matrix.io.MatrixSize.numRows()

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            throw new UnsupportedOperationException(
                    "Complex matrices are not supported");

        // Resize the matrix to correct size
        MatrixSize size = r.readMatrixSize(info);
        numRows = size.numRows();
        numColumns = size.numColumns();

        // Start reading entries
        int numEntries = size.numEntries();
        int[] row = new int[numEntries];
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Examples of org.apache.hive.service.cli.RowSet.numRows()

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    SessionHandle sessHandle = serviceClient.openSession("foo", "bar");
    serviceClient.executeStatement(sessHandle, "DROP TABLE IF EXISTS tab", confOverlay);
    serviceClient.executeStatement(sessHandle, "CREATE TABLE " + tabName + " (id INT)", confOverlay);
    OperationHandle opHandle = serviceClient.executeStatement(sessHandle, "SHOW TABLES", confOverlay);
    RowSet rowSet = serviceClient.fetchResults(opHandle);
    assertFalse(rowSet.numRows() == 0);
  }

  @Test
  public void testGetVariableValue() throws Exception {
    CLIServiceClient serviceClient = miniHS2.getServiceClient();
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Examples of org.apache.mahout.math.DenseMatrix.numRows()

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    int desiredRank = 30;
    Matrix eigenVectors = new DenseMatrix(desiredRank, corpus.numCols());
    List<Double> eigenValues = new ArrayList<Double>();
    solver.solve(corpus, desiredRank, eigenVectors, eigenValues, symmetric);
    assertOrthonormal(eigenVectors);
    assertEigen(eigenVectors, corpus, eigenVectors.numRows() / 2, 0.01, symmetric);
  }

  public void testDistributedLanczosSolver() throws Exception {
  //  doTestDistributedLanczosSolver(false);
  //  TestCanopyCreation.rmr("testData");
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Examples of org.apache.mahout.math.DenseMatrix.numRows()

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    for(int row = 0; row < eigenVectors.numRows(); row++) {
      Vector oldEigen = eigenVectors.viewRow(row);
      if(oldEigen == null) {
        break;
      }
      for(int newRow = 0; newRow < eigenVectors2.numRows(); newRow++) {
        Vector newEigen = eigenVectors2.viewRow(newRow);
        if(newEigen != null) {
          if(oldEigen.dot(newEigen) > 0.9) {
            oldEigensFound.add(row);
            break;
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Examples of org.apache.mahout.math.DenseMatrix.numRows()

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    int desiredRank = 30;
    Matrix eigenVectors = new DenseMatrix(desiredRank, corpus.numCols());
    List<Double> eigenValues = new ArrayList<Double>();
    solver.solve(corpus, desiredRank, eigenVectors, eigenValues, symmetric);
    assertOrthonormal(eigenVectors);
    assertEigen(eigenVectors, corpus, eigenVectors.numRows() / 2, 0.01, symmetric);
  }

  @Test
  public void testDistributedLanczosSolver() throws Exception {
    doTestDistributedLanczosSolver(true);
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Examples of org.apache.mahout.math.Matrix.numRows()

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    int desiredRank = 30;
    Matrix eigenVectors = new DenseMatrix(desiredRank, corpus.numCols());
    List<Double> eigenValues = new ArrayList<Double>();
    solver.solve(corpus, desiredRank, eigenVectors, eigenValues, symmetric);
    assertOrthonormal(eigenVectors);
    assertEigen(eigenVectors, corpus, eigenVectors.numRows() / 2, 0.01, symmetric);
  }

  public void testDistributedLanczosSolver() throws Exception {
  //  doTestDistributedLanczosSolver(false);
  //  TestCanopyCreation.rmr("testData");
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Examples of org.apache.mahout.math.Matrix.numRows()

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      }
    }, true, baseTmpDir + "/distMatrix/part-00000", fs, conf);

    DistributedRowMatrix distMatrix = new DistributedRowMatrix(baseTmpDir + "/distMatrix",
                                                               baseTmpDir + "/tmpOut",
                                                               m.numRows(),
                                                               m.numCols());
    distMatrix.configure(new JobConf(conf));

    return distMatrix;
  }
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Examples of org.apache.mahout.math.Matrix.numRows()

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    DoubleMatrix2D eigenVects = decomp.getV();
    DoubleMatrix1D eigenVals = decomp.getRealEigenvalues();
    endTime(TimingSection.TRIDIAG_DECOMP);
    startTime(TimingSection.FINAL_EIGEN_CREATE);

    for (int i = 0; i < basis.numRows() - 1; i++) {
      Vector realEigen = new DenseVector(corpus.numCols());
      // the eigenvectors live as columns of V, in reverse order.  Weird but true.
      DoubleMatrix1D ejCol = eigenVects.viewColumn(basis.numRows() - i - 1);
      for (int j = 0; j < ejCol.size(); j++) {
        double d = ejCol.getQuick(j);
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