List of numRows() Examples

Examples of numRows()

edu.stanford.nlp.neural.SimpleTensor.numRows()
Number of rows in the tensor
net.sourceforge.processdash.data.util.ResultSet.numRows()
Return the number of rows of data, not counting the header row.
no.uib.cipr.matrix.DenseMatrix.numRows()
no.uib.cipr.matrix.TridiagMatrix.numRows()
no.uib.cipr.matrix.io.MatrixSize.numRows()
Returns the number of rows in the matrix
org.apache.hive.service.cli.RowSet.numRows()
org.apache.mahout.math.DenseMatrix.numRows()
org.apache.mahout.math.Matrix.numRows()
org.apache.mahout.math.SparseRowMatrix.numRows()
org.apache.mahout.math.VectorIterable.numRows()
org.apache.mahout.math.hadoop.DistributedRowMatrix.numRows()
org.apache.poi.hwpf.usermodel.Table.numRows()
org.ejml.factory.SingularValueDecomposition.numRows()
Number of rows in the decomposed matrix. @return Number of rows in the decomposed matrix.
org.ejml.simple.SimpleMatrix.numRows()
org.haystack.HGrid.numRows()
Return number of rows
org.timepedia.chronoscope.client.util.JavaArray2D.numRows()
Returns the number of rows in this array
pspdash.data.ResultSet.numRows()
Return the number of rows of data, not counting the header row.
water.fvec.Frame.numRows()

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

      weightsPerFeature = VectorWritable.readVector(in);
      weightsPerLabel = VectorWritable.readVector(in);
      perLabelThetaNormalizer = VectorWritable.readVector(in);


      weightsPerLabelAndFeature = new SparseMatrix(weightsPerLabel.size(), weightsPerFeature.size() );
      for (int label = 0; label < weightsPerLabelAndFeature.numRows(); label++) {
        weightsPerLabelAndFeature.assignRow(label, VectorWritable.readVector(in));
      }
    } finally {
      Closeables.closeQuietly(in);
    }

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

        IntWritable.class, VectorWritable.class);
    try {
      IntWritable key = new IntWritable();
      VectorWritable value = new VectorWritable();
      
      for (int row = 0; row < sData.numRows(); row++) {
        key.set(row);
        value.set(sData.viewRow(row));
        writer.append(key, value);
      }
    } finally {

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

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

    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);
        realEigen.assign(basis.getRow(j), new PlusMult(d));
      }
      realEigen = realEigen.normalize();

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

    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()

      }
    }, true, new Path(baseTmpDirPath, "distMatrix/part-00000"), fs, conf);


    DistributedRowMatrix distMatrix = new DistributedRowMatrix(new Path(baseTmpDirPath, "distMatrix"),
                                                               new Path(baseTmpDirPath, "tmpOut"),
                                                               m.numRows(),
                                                               m.numCols());
    distMatrix.configure(new JobConf(conf));


    return distMatrix;
  }

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

    Matrix similarityMatrix =
      MathHelper.readEntries(fs, conf, new Path(outputDir.getAbsolutePath(), "part-r-00000"), 3, 3);
    
    assertNotNull(similarityMatrix);
    assertEquals(3, similarityMatrix.numCols());
    assertEquals(3, similarityMatrix.numRows());


    assertEquals(1.0, similarityMatrix.get(0, 0), EPSILON);
    assertEquals(1.0, similarityMatrix.get(1, 1), EPSILON);
    assertEquals(1.0, similarityMatrix.get(2, 2), EPSILON);

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

    Matrix similarityMatrix =
        MathHelper.readEntries(fs, conf, new Path(outputDir.getAbsolutePath(), "part-r-00000"), 3, 3);
    
    assertNotNull(similarityMatrix);
    assertEquals(3, similarityMatrix.numCols());
    assertEquals(3, similarityMatrix.numRows());


    assertEquals(0.0, similarityMatrix.get(0, 0), EPSILON);
    assertEquals(0.5, similarityMatrix.get(0, 1), EPSILON);
    assertEquals(0.0, similarityMatrix.get(0, 2), EPSILON);

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

            .stepOffset(10)
            .decayExponent(0.7)
            .lambda(1 * 1.0e-3)
            .learningRate(5);
    int k = 0;
    int[] ordering = permute(gen, data.numRows());
    for (int epoch = 0; epoch < 100; epoch++) {
      for (int row : ordering) {
        lr.train(row, (int) data.get(row, 9), data.viewRow(row));
        System.out.printf("%d,%d,%.3f\n", epoch, k++, lr.auc());
      }

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Examples of org.apache.mahout.math.SparseRowMatrix.numRows()

    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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