Package org.apache.mahout.math.hadoop

Examples of org.apache.mahout.math.hadoop.DistributedRowMatrix.numCols()

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    matrix.setConf(conf);
    Path output = getTestTempFilePath("output");
    Path vectorPath = getTestTempFilePath("vector");
    Path tempPath = getTestTempDirPath("tmp");

    Vector vector = randomVector(matrix.numCols(), 10.0);
    saveVector(conf, vectorPath, vector);
       
    String[] args = {
        "-i", matrix.getRowPath().toString(),
        "-o", output.toString(),
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  public void testSolver() throws Exception {
    File testData = getTestTempDir("testdata");
    DistributedRowMatrix matrix = new TestDistributedRowMatrix().randomDistributedMatrix(
        10, 10, 10, 10, 10.0, true, testData.getAbsolutePath());
    matrix.setConf(new Configuration());
    Vector vector = randomVector(matrix.numCols(), 10.0);
   
    DistributedConjugateGradientSolver solver = new DistributedConjugateGradientSolver();
    Vector x = solver.solve(matrix, vector);

    Vector solvedVector = matrix.times(x);   
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        "--workingDir", workingDir.toString()
    };
    new DistributedLanczosSolver().new DistributedLanczosSolverJob().run(args);

    Path rawEigenvectors = new Path(output, DistributedLanczosSolver.RAW_EIGENVECTORS);
    Matrix eigenVectors = new DenseMatrix(7, corpus.numCols());
    Configuration conf = new Configuration();

    int i = 0;
    for (VectorWritable value : new SequenceFileValueIterable<VectorWritable>(rawEigenvectors, conf)) {
      Vector v = value.get();
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        "--cleansvd", "true"
    };
    new DistributedLanczosSolver().new DistributedLanczosSolverJob().run(args);
 
    Path cleanEigenvectors = new Path(output, EigenVerificationJob.CLEAN_EIGENVECTORS);
    Matrix eigenVectors = new DenseMatrix(6, corpus.numCols());
    Collection<Double> eigenvalues = Lists.newArrayList();

    output = getTestTempDirPath("output2");
    tmp = getTestTempDirPath("tmp2");
    args = new String[] {
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        "--symmetric", "false",
        "--cleansvd", "true"
    };
    new DistributedLanczosSolver().new DistributedLanczosSolverJob().run(args);
    Path cleanEigenvectors2 = new Path(output, EigenVerificationJob.CLEAN_EIGENVECTORS);
    Matrix eigenVectors2 = new DenseMatrix(7, corpus.numCols());
    Configuration conf = new Configuration();
    Collection<Double> newEigenValues = Lists.newArrayList();

    int i = 0;
    for (VectorWritable value : new SequenceFileValueIterable<VectorWritable>(cleanEigenvectors, conf)) {
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