Examples of org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver.run()

Package org.apache.mahout.math.hadoop.stochasticsvd

Class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver

Examples of org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver.run()

org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver.run()
run all SSVD jobs. @throws IOException if I/O condition occurs.

      solveIt.setComputeV(false);
      solveIt.setComputeU(true);
      solveIt.setOverwrite(true);
      solveIt.setQ(poweriters);
      // solveIt.setBroadcast(false);
      solveIt.run();
      data = new Path(solveIt.getUPath());
    } else {
      // Perform eigen-decomposition using LanczosSolver
      // since some of the eigen-output is spurious and will be eliminated
      // upon verification, we have to aim to overshoot and then discard

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      solveIt.setComputeV(false);
      solveIt.setComputeU(true);
      solveIt.setOverwrite(true);
      solveIt.setQ(poweriters);
      // solveIt.setBroadcast(false);
      solveIt.run();
      data = new Path(solveIt.getUPath());
    } else {
      // Perform eigen-decomposition using LanczosSolver
      // since some of the eigen-output is spurious and will be eliminated
      // upon verification, we have to aim to overshoot and then discard

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      solveIt.setComputeV(false);
      solveIt.setComputeU(true);
      solveIt.setOverwrite(true);
      solveIt.setQ(poweriters);
      // solveIt.setBroadcast(false);
      solveIt.run();
      data = new Path(solveIt.getUPath());
    } else {
      // Perform eigen-decomposition using LanczosSolver
      // since some of the eigen-output is spurious and will be eliminated
      // upon verification, we have to aim to overshoot and then discard

View Full Code Here

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