List of rows() Examples

Examples of rows()

cern.colt.matrix.DoubleMatrix2D.rows()
ch.akuhn.hapax.linalg.Matrix.rows()
com.facebook.hive.orc.Reader.rows()
Create a RecordReader that will scan the entire file. @param include true for each column that should be included @return A new RecordReader @throws IOException
com.sun.faban.common.TableModel.rows()
Obtains the number of rows currently in the table. @return The number of rows in the table
edu.ucla.sspace.matrix.Matrix.rows()
Returns the number of rows in this {@code Matrix}. @return The number of columns in this {@code Matrix}.
edu.ucla.sspace.matrix.SparseMatrix.rows()
edu.ucla.sspace.matrix.YaleSparseMatrix.rows()
{@inheritDoc}
io.crate.action.sql.SQLResponse.rows()
io.crate.executor.TaskResult.rows()
io.crate.executor.transport.distributed.DistributedResultRequest.rows()
jcgp.backend.resources.Resources.rows()
@return the number of rows.
net.fec.openrq.util.linearalgebra.matrix.ByteMatrix.rows()
Returns the number of rows of this matrix. @return the number of rows
org.apache.hadoop.hive.ql.io.orc.Reader.rows()
Create a RecordReader that reads everything with the default options. @return a new RecordReader @throws IOException
org.apache.mahout.math.matrix.DoubleMatrix2D.rows()
org.apache.mahout.math.matrix.impl.DenseDoubleMatrix2D.rows()
org.boco.seamwebappgen.annotations.ShowInForm.rows()
org.boris.expr.ExprArray.rows()
org.jquantlib.math.matrixutilities.Matrix.rows()
org.qi4j.library.rest.common.table.Table.rows()
org.sql2o.data.LazyTable.rows()
org.sql2o.data.Table.rows()
prefuse.data.Table.rows()
Get an interator over the row numbers of this table. @return an iterator over the rows of this table
prefuse.data.util.Index.rows()
Get an iterator over a sorted range of rows. @param lo the minimum data value @param hi the maximum data value @param type the iteration type, one of the composite flagsinvolving both a sort order, and whether each bound of the range should inclusive or exclusive @return an iterator over a sorted range of rows
stallone.api.doubles.IDoubleArray.rows()
Returns the number of rows. Order-1-arrays are by default row vectors, (rows()=size(), columns()=1) @return
stallone.api.ints.IIntArray.rows()
Returns the number of rows. Order-1-arrays are by default row vectors, (rows()=size(), columns()=1) @return
stallone.doubles.ForeignBufferDoubleArray.rows()

Examples of cern.colt.matrix.DoubleMatrix2D.rows()

System.out.println("\nview1="+view1);
DoubleMatrix2D view2 = view1.viewPart(1,1,2,2);
System.out.println("\nview2="+view2);
DoubleMatrix2D view3 = view2.viewRowFlip();
System.out.println("\nview3="+view3);
view3.assign(Factory2D.ascending(view3.rows(),view3.columns()));
//Basic.ascending(view3);
System.out.println("\nview3="+view3);


//view2.assign(-1);
System.out.println("\nmaster replaced"+master);

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Examples of ch.akuhn.hapax.linalg.Matrix.rows()

        f.println("<data name=\"distance\">");
        f.println("<variables count=\"1\">");
        f.println("  <realvariable name=\"D\" nickname=\"D\" />");
        f.println("</variables>");
        int tally = 0;
        for (Vector row: corr.rows()) {
            for (Entry each: row.entries()) {
                if (Matrix.indexOf(row) >= each.index) continue;
                if (each.value > THRESHOLD) tally++;
            }
        }

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Examples of ch.akuhn.hapax.linalg.Matrix.rows()

                if (each.value > THRESHOLD) tally++;
            }
        }
        System.out.println(tally);
        f.printf("<records count=\"%d\" glyph=\"fr 1\" color=\"0\">\n", tally);
        for (Vector row: corr.rows()) {
            for (Entry each: row.entries()) {
                if (Matrix.indexOf(row) >= each.index) continue;
                if (each.value > THRESHOLD) {
                    f.printf("<record source=\"%d\" destination=\"%d\"> %f </record>\n",
                            Matrix.indexOf(row)+1,

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Examples of com.facebook.hive.orc.Reader.rows()

        RecordReader recordReader;
        try {
            FileSystem fileSystem = path.getFileSystem(configuration);
            Reader reader = OrcFile.createReader(fileSystem, path, new JobConf(configuration));
            boolean[] include = findIncludedColumns(reader.getTypes(), columns);
            recordReader = reader.rows(start, length, include);
        }
        catch (Exception e) {
            throw Throwables.propagate(e);
        }

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Examples of com.sun.faban.common.TableModel.rows()

                } catch (Exception e) { // Ensure the getResults
                    // doesn't break report generation.
                    logger.log(Level.WARNING,
                            "Exceptions reporting CustomTableMetrics", e);
                }
                int rows = table.rows();
                if (table != null && rows > 0) {
                    space(8, buffer).append("<customTable name=\"").
                            append(entry.getKey()).append("\">\n");
                    space(12, buffer).append("<head>\n");
                    for (int i = 0; i < table.columns(); i++) {

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Examples of edu.ucla.sspace.matrix.Matrix.rows()


        final Matrix leftMatrix = eigenCutter.getLeftCut();
        final Matrix rightMatrix = eigenCutter.getRightCut();


        verbose(String.format("Splitting into two matricies %d-%d",
                              leftMatrix.rows(), rightMatrix.rows()));


        // If the compute decided that the matrix should not be split, short
        // circuit any attempts to further cut the matrix.
        if (leftMatrix.rows() == matrix.rows() ||
            rightMatrix.rows() == matrix.rows())

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Examples of edu.ucla.sspace.matrix.Matrix.rows()

                              leftMatrix.rows(), rightMatrix.rows()));


        // If the compute decided that the matrix should not be split, short
        // circuit any attempts to further cut the matrix.
        if (leftMatrix.rows() == matrix.rows() ||
            rightMatrix.rows() == matrix.rows())
            return new ClusterResult(new int[matrix.rows()], 1);




        // Do clustering on the left and right branches.  We can do this in
        // parallel because all of the data members in this class are thread

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Examples of edu.ucla.sspace.matrix.Matrix.rows()

        final Matrix rightMatrix = eigenCutter.getRightCut();


        // If the compute decided that the matrix should not be split, short
        // circuit any attempts to further cut the matrix.
        if (leftMatrix.rows() == matrix.rows() ||
            rightMatrix.rows() == matrix.rows()) {
            eigenCutter.computeRhoSum(matrix);
            LimitedResult result;
            if (useKMeans)
                result = new KMeansLimitedResult(new int[matrix.rows()], 1,
                        eigenCutter.getKMeansObjective());

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Examples of edu.ucla.sspace.matrix.Matrix.rows()

                        (matrix.rows() * (matrix.rows()-1)) / 2);
            return new LimitedResult[] {result};
        }


        verbose(String.format("Splitting into two matricies %d-%d",
                              leftMatrix.rows(), rightMatrix.rows()));


        // Do clustering on the left and right branches.  We can do this in
        // parallel because all of the data members in this class are thread
        // safe, since each call to fullCluster uses a new instance of a
        // EigenCutter which has all of the state for a particular partition.

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Examples of edu.ucla.sspace.matrix.Matrix.rows()

        validateResults(reducer);
    }


    public static void validateResults(MatrixFactorization reducer) {
        Matrix U = reducer.dataClasses();
        assertEquals(matrix.rows(), U.rows());
        assertEquals(2, U.columns());


        for (int r = 0; r < matrix.rows(); ++r)
            for (int c = 0; c < 2; ++c)
                assertEquals(Math.abs(EXPECTED_U[r][c] * EXPECTED_S[c]),Math.abs(U.get(r,c)),.001);

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