Package org.apache.mahout.math.decomposer

Examples of org.apache.mahout.math.decomposer.SimpleEigenVerifier


    c.configure(new JobConf(getConf()));
    corpus = c;

    // set up eigenverifier and orthoverifier TODO: allow multithreaded execution

    eigenVerifier = new SimpleEigenVerifier();
    orthoVerifier = new OrthonormalityVerifier();

    VectorIterable pairwiseInnerProducts = computePairwiseInnerProducts();

    Map<MatrixSlice,EigenStatus> eigenMetaData = verifyEigens();
View Full Code Here


    c.setConf(conf);
    corpus = c;

    // set up eigenverifier and orthoverifier TODO: allow multithreaded execution

    eigenVerifier = new SimpleEigenVerifier();

    // we don't currently verify orthonormality here.
    // VectorIterable pairwiseInnerProducts = computePairwiseInnerProducts();

    Map<MatrixSlice, EigenStatus> eigenMetaData = verifyEigens();
View Full Code Here

    DistributedRowMatrix c = new DistributedRowMatrix(corpusInput, tmpOut, 1, 1);
    c.setConf(new Configuration(conf));
    corpus = c;

    eigenVerifier = new SimpleEigenVerifier();

    Map<MatrixSlice, EigenStatus> eigenMetaData = verifyEigens();
    List<Map.Entry<MatrixSlice, EigenStatus>> prunedEigenMeta = pruneEigens(eigenMetaData);
    saveCleanEigens(conf, prunedEigenMeta);
  }
View Full Code Here

    c.configure(config);
    corpus = c;

    // set up eigenverifier and orthoverifier TODO: allow multithreaded execution

    eigenVerifier = new SimpleEigenVerifier();

    //VectorIterable pairwiseInnerProducts = computePairwiseInnerProducts();
    computePairwiseInnerProducts();

    Map<MatrixSlice, EigenStatus> eigenMetaData = verifyEigens();
View Full Code Here

    DistributedRowMatrix c = new DistributedRowMatrix(corpusInput, tmpOut, 1, 1);
    c.configure(new JobConf(conf));
    corpus = c;

    eigenVerifier = new SimpleEigenVerifier();
    //OrthonormalityVerifier orthoVerifier = new OrthonormalityVerifier();
    VectorIterable pairwiseInnerProducts = computePairwiseInnerProducts();
    // FIXME: Why is the above vector computed if it is never used?

    Map<MatrixSlice, EigenStatus> eigenMetaData = verifyEigens();
View Full Code Here

    c.setConf(conf);
    corpus = c;

    // set up eigenverifier and orthoverifier TODO: allow multithreaded execution

    eigenVerifier = new SimpleEigenVerifier();

    // we don't currently verify orthonormality here.
    // VectorIterable pairwiseInnerProducts = computePairwiseInnerProducts();

    Map<MatrixSlice,EigenStatus> eigenMetaData = verifyEigens();
View Full Code Here

    DistributedRowMatrix c = new DistributedRowMatrix(corpusInput, tmpOut, 1, 1);
    c.setConf(new Configuration(conf));
    corpus = c;

    eigenVerifier = new SimpleEigenVerifier();

    Map<MatrixSlice,EigenStatus> eigenMetaData = verifyEigens();
    List<Map.Entry<MatrixSlice,EigenStatus>> prunedEigenMeta = pruneEigens(eigenMetaData);
    saveCleanEigens(conf, prunedEigenMeta);
  }
View Full Code Here

    c.setConf(conf);
    corpus = c;

    // set up eigenverifier and orthoverifier TODO: allow multithreaded execution

    eigenVerifier = new SimpleEigenVerifier();

    // we don't currently verify orthonormality here.
    // VectorIterable pairwiseInnerProducts = computePairwiseInnerProducts();

    Map<MatrixSlice, EigenStatus> eigenMetaData = verifyEigens();
View Full Code Here

    DistributedRowMatrix c = new DistributedRowMatrix(corpusInput, tmpOut, 1, 1);
    c.setConf(new Configuration(conf));
    corpus = c;

    eigenVerifier = new SimpleEigenVerifier();
    //OrthonormalityVerifier orthoVerifier = new OrthonormalityVerifier();
    //VectorIterable pairwiseInnerProducts = computePairwiseInnerProducts();
    // FIXME: Why is the above vector computed if it is never used?

    Map<MatrixSlice, EigenStatus> eigenMetaData = verifyEigens();
View Full Code Here

    c.setConf(conf);
    corpus = c;

    // set up eigenverifier and orthoverifier TODO: allow multithreaded execution

    eigenVerifier = new SimpleEigenVerifier();

    // we don't currently verify orthonormality here.
    // VectorIterable pairwiseInnerProducts = computePairwiseInnerProducts();

    Map<MatrixSlice,EigenStatus> eigenMetaData = verifyEigens();
View Full Code Here

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