Examples of org.apache.hama.commons.io.SparseVectorWritable

        fs.delete(new Path(baseDir), true);
      }


      // creating test matrix
      HashMap<Integer, Writable> inputMatrix = new HashMap<Integer, Writable>();
      SparseVectorWritable vector0 = new SparseVectorWritable();
      vector0.setSize(size);
      vector0.addCell(0, 1);
      vector0.addCell(2, 6);
      SparseVectorWritable vector1 = new SparseVectorWritable();
      vector1.setSize(size);
      vector1.addCell(1, 4);
      SparseVectorWritable vector2 = new SparseVectorWritable();
      vector2.setSize(size);
      vector2.addCell(1, 2);
      vector2.addCell(2, 3);
      SparseVectorWritable vector3 = new SparseVectorWritable();
      vector3.setSize(size);
      vector3.addCell(0, 3);
      vector3.addCell(3, 5);
      inputMatrix.put(0, vector0);
      inputMatrix.put(1, vector1);
      inputMatrix.put(2, vector2);
      inputMatrix.put(3, vector3);
      writeMatrix(matrixPath, conf, inputMatrix);

      while ((row = peer.readNext()) != null) {
        // it will be needed in conversion of output to result vector
        peer.getCounter(RowCounter.TOTAL_ROWS).increment(1L);
        int key = row.getKey().get();
        double sum = 0;
        SparseVectorWritable mRow = row.getValue();
        if (v.getSize() != mRow.getSize())
          throw new RuntimeException("Matrix row with index = " + key
              + " is not consistent with input vector. Row size = "
              + mRow.getSize() + " vector size = " + v.getSize());
        List<Integer> mIndeces = mRow.getIndeces();
        List<Double> mValues = mRow.getValues();
        for (int i = 0; i < mIndeces.size(); i++)
          sum += v.get(mIndeces.get(i)) * mValues.get(i);
        peer.write(new IntWritable(key), new DoubleWritable(sum));
      }
    }

Examples of org.apache.hama.commons.io.SparseVectorWritable

Related Classes of org.apache.hama.commons.io.SparseVectorWritable