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| | PLreg (int order, int dim) |
| | Constructors:
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| | PLreg (Array2D< int > &mindex) |
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| | ~PLreg () |
| | Destructor.
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| void | EvalBases (Array2D< double > &xx, Array2D< double > &bb) |
| | Evaluate the bases.
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| void | StripBases (Array1D< int > &used) |
| | Strip the bases.
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| void | SetMindex (Array2D< int > &mindex) |
| | Set multiindex.
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| void | GetMindex (Array2D< int > &mindex) |
| | Get multiindex.
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| | Lreg () |
| | Constructor.
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| | ~Lreg () |
| | Destrcutor.
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| virtual void | SetCenters (Array2D< double > ¢ers) |
| | Set centers (for RBF)
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| virtual void | SetWidths (Array1D< double > &widths) |
| | Set widths (for RBF)
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| virtual void | SetParamsRBF () |
| | Set parameters (for RBF)
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| void | InitRegr () |
| | Initialize.
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| void | SetupData (Array2D< double > &xdata, Array1D< double > &ydata) |
| | Setup data (1d ydata)
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| void | SetupData (Array2D< double > &xdata, Array2D< double > &ydata) |
| | Setup data (2d ydata)
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| void | SetRegMode (string regmode) |
| | Set the regression mode.
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| void | SetRegWeights (Array1D< double > &weights) |
| | Set weights.
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| void | BCS_BuildRegr (Array1D< int > &selected, double eta) |
| | Build BCS regression.
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| void | LSQ_BuildRegr () |
| | Build LSQ regression.
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| void | EvalRegr (Array2D< double > &xcheck, Array1D< double > &ycheck, Array1D< double > &yvar, Array2D< double > &ycov) |
| | Evaluate the regression expansion.
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| int | GetNpt () const |
| | Get the number of points.
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| int | GetNdim () const |
| | Get dimensionality.
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| int | GetNbas () const |
| | Get the number of bases.
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| double | GetSigma2 () const |
| | Get the variance of the data.
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| void | GetCoefCov (Array2D< double > &coef_cov) |
| | Get coefficient covariance.
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| void | GetCoef (Array1D< double > &coef) |
| | Get coefficients.
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| void | Proj (Array1D< double > &array, Array1D< double > &proj_array) |
| | Project.
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| Array1D< double > | LSQ_computeBestLambdas () |
| | Compute the best values for regulariation parameter vector lambda, for LSQ.
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| double | LSQ_computeBestLambda () |
| | Compute the best value for regulariation parameter lambda, for LSQ.
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| void | getResid () |
| | Compute the residual vector, if not already computed.
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| void | getDiagP () |
| | Compute the diagonal of projection matrix, if not already computed.
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| Array1D< double > | computeErrorMetrics (string method) |
| | Compote error according to a selected metrics.
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| double | computeRVE (Array2D< double > &xval, Array1D< double > &yval, Array1D< double > &yval_regr) |
| | Compute validation error.
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Derived class for polynomial regression.