Examples of RRQRDecomposition

Examples of org.apache.commons.math3.linear.RRQRDecomposition

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  @Override
  public Solver getSolver(RealMatrix M) {
    if (M == null) {
      return null;
    }
    RRQRDecomposition decomposition = new RRQRDecomposition(M, SINGULARITY_THRESHOLD);
    DecompositionSolver solver = decomposition.getSolver();
    if (solver.isNonSingular()) {
      return new CommonsMathSolver(solver);
    }
    // Otherwise try to report apparent rank
    int apparentRank = decomposition.getRank(0.01); // Better value?
    log.warn("{} x {} matrix is near-singular (threshold {}). Add more data or decrease the value of model.features, " +
             "to <= about {}",
             M.getRowDimension(),
             M.getColumnDimension(),
             SINGULARITY_THRESHOLD,
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Examples of org.apache.commons.math3.linear.RRQRDecomposition

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    throw new SingularMatrixSolverException(apparentRank, "Apparent rank: " + apparentRank);
  } 

  @Override
  public boolean isNonSingular(RealMatrix M) {
    QRDecomposition decomposition = new RRQRDecomposition(M, SINGULARITY_THRESHOLD);
    DecompositionSolver solver = decomposition.getSolver();
    return solver.isNonSingular();
  } 
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Examples of org.apache.commons.math3.linear.RRQRDecomposition

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  public Solver getSolver(RealMatrix M) {
    if (M == null) {
      return null;
    }
    RRQRDecomposition decomposition = new RRQRDecomposition(M, SINGULARITY_THRESHOLD);
    DecompositionSolver solver = decomposition.getSolver();
    if (solver.isNonSingular()) {
      return new Solver(solver);
    }
    // Otherwise try to report apparent rank
    int apparentRank = decomposition.getRank(0.01); // Better value?
    log.warn("{} x {} matrix is near-singular (threshold {}). Add more data or decrease the " +
             "value of als.hyperparams.features, to <= about {}",
             M.getRowDimension(),
             M.getColumnDimension(),
             SINGULARITY_THRESHOLD,
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Examples of org.apache.commons.math3.linear.RRQRDecomposition

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             apparentRank);
    throw new SingularMatrixSolverException(apparentRank, "Apparent rank: " + apparentRank);
  } 

  public boolean isNonSingular(RealMatrix M) {
    QRDecomposition decomposition = new RRQRDecomposition(M, SINGULARITY_THRESHOLD);
    DecompositionSolver solver = decomposition.getSolver();
    return solver.isNonSingular();
  } 
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