Package org.apache.mahout.math.hadoop.decomposer

Examples of org.apache.mahout.math.hadoop.decomposer.EigenVerificationJob.runJob()

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                  lanczosSeqFiles.toString());

    // perform a verification
    EigenVerificationJob verifier = new EigenVerificationJob();
    Path verifiedEigensPath = new Path(outputCalc, "eigenverifier");
    verifier.runJob(conf, lanczosSeqFiles, L.getRowPath(), verifiedEigensPath, true, 1.0, 0.0, clusters);
    Path cleanedEigens = verifier.getCleanedEigensPath();
    DistributedRowMatrix W = new DistributedRowMatrix(cleanedEigens, new Path(cleanedEigens, "tmp"), clusters, numDims);
    W.configure(depConf);
    DistributedRowMatrix Wtrans = W.transpose();
    //    DistributedRowMatrix Wt = W.transpose();
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                  seqFiles.toString());

    // now run the verifier to trim down the number of eigenvectors
    EigenVerificationJob verifier = new EigenVerificationJob();
    Path verifiedEigens = new Path(tmp, "verifiedeigens");
    verifier.runJob(conf, seqFiles, input.getRowPath(), verifiedEigens, false, 1.0, 0.0, numEigenVectors);
    Path cleanedEigens = verifier.getCleanedEigensPath();
    return new DistributedRowMatrix(cleanedEigens, new Path(cleanedEigens, "tmp"), numEigenVectors, input.numRows());
  }

  /**
 
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                  seqFiles.toString());

    // now run the verifier to trim down the number of eigenvectors
    EigenVerificationJob verifier = new EigenVerificationJob();
    Path verifiedEigens = new Path(tmp, "verifiedeigens");
    verifier.runJob(conf, seqFiles, input.getRowPath(), verifiedEigens, false, 1.0, numEigenVectors);
    Path cleanedEigens = verifier.getCleanedEigensPath();
    return new DistributedRowMatrix(cleanedEigens, new Path(cleanedEigens, "tmp"), numEigenVectors, input.numRows());
  }

  /**
 
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                  lanczosSeqFiles.toString());

    // perform a verification
    EigenVerificationJob verifier = new EigenVerificationJob();
    Path verifiedEigensPath = new Path(outputCalc, "eigenverifier");
    verifier.runJob(conf, lanczosSeqFiles, L.getRowPath(), verifiedEigensPath, true, 1.0, clusters);
    Path cleanedEigens = verifier.getCleanedEigensPath();
    DistributedRowMatrix W = new DistributedRowMatrix(cleanedEigens, new Path(cleanedEigens, "tmp"), clusters, numDims);
    W.setConf(depConf);
    DistributedRowMatrix Wtrans = W.transpose();
    //    DistributedRowMatrix Wt = W.transpose();
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                  seqFiles.toString());

    // now run the verifier to trim down the number of eigenvectors
    EigenVerificationJob verifier = new EigenVerificationJob();
    Path verifiedEigens = new Path(tmp, "verifiedeigens");
    verifier.runJob(conf, seqFiles, input.getRowPath(), verifiedEigens, false, 1.0, numEigenVectors);
    Path cleanedEigens = verifier.getCleanedEigensPath();
    return new DistributedRowMatrix(cleanedEigens, new Path(cleanedEigens, "tmp"), numEigenVectors, input.numRows());
  }

  /**
 
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      solver.runJob(conf, state, overshoot, true, lanczosSeqFiles.toString());

      // perform a verification
      EigenVerificationJob verifier = new EigenVerificationJob();
      Path verifiedEigensPath = new Path(outputCalc, "eigenverifier");
      verifier.runJob(conf, lanczosSeqFiles, L.getRowPath(), verifiedEigensPath, true, 1.0, clusters);

      Path cleanedEigens = verifier.getCleanedEigensPath();
      DistributedRowMatrix W = new DistributedRowMatrix(cleanedEigens, new Path(cleanedEigens, "tmp"), clusters,
          numDims);
      W.setConf(depConf);
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                  lanczosSeqFiles.toString());

    // perform a verification
    EigenVerificationJob verifier = new EigenVerificationJob();
    Path verifiedEigensPath = new Path(outputCalc, "eigenverifier");
    verifier.runJob(conf, lanczosSeqFiles, L.getRowPath(), verifiedEigensPath, true, 1.0, 0.0, clusters);
    Path cleanedEigens = verifier.getCleanedEigensPath();
    DistributedRowMatrix W = new DistributedRowMatrix(cleanedEigens, new Path(cleanedEigens, "tmp"), clusters, numDims);
    W.setConf(depConf);
    DistributedRowMatrix Wtrans = W.transpose();
    //    DistributedRowMatrix Wt = W.transpose();
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                  seqFiles.toString());

    // now run the verifier to trim down the number of eigenvectors
    EigenVerificationJob verifier = new EigenVerificationJob();
    Path verifiedEigens = new Path(tmp, "verifiedeigens");
    verifier.runJob(conf, seqFiles, input.getRowPath(), verifiedEigens, false, 1.0, 0.0, numEigenVectors);
    Path cleanedEigens = verifier.getCleanedEigensPath();
    return new DistributedRowMatrix(cleanedEigens, new Path(cleanedEigens, "tmp"), numEigenVectors, input.numRows());
  }

  /**
 
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      solver.runJob(conf, state, overshoot, true, lanczosSeqFiles.toString());

      // perform a verification
      EigenVerificationJob verifier = new EigenVerificationJob();
      Path verifiedEigensPath = new Path(outputCalc, "eigenverifier");
      verifier.runJob(conf, lanczosSeqFiles, L.getRowPath(), verifiedEigensPath, true, 1.0, clusters);

      Path cleanedEigens = verifier.getCleanedEigensPath();
      DistributedRowMatrix W = new DistributedRowMatrix(cleanedEigens, new Path(cleanedEigens, "tmp"), clusters,
          numDims);
      W.setConf(depConf);
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                  lanczosSeqFiles.toString());

    // perform a verification
    EigenVerificationJob verifier = new EigenVerificationJob();
    Path verifiedEigensPath = new Path(outputCalc, "eigenverifier");
    verifier.runJob(conf, lanczosSeqFiles, L.getRowPath(), verifiedEigensPath, true, 1.0, clusters);
    Path cleanedEigens = verifier.getCleanedEigensPath();
    DistributedRowMatrix W = new DistributedRowMatrix(cleanedEigens, new Path(cleanedEigens, "tmp"), clusters, numDims);
    W.setConf(depConf);
    DistributedRowMatrix Wtrans = W.transpose();
    //    DistributedRowMatrix Wt = W.transpose();
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