PolynomialRegressionTrainer.h

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//* This file is part of the MOOSE framework
//* https://mooseframework.inl.gov
//*
//* All rights reserved, see COPYRIGHT for full restrictions
//* https://github.com/idaholab/moose/blob/master/COPYRIGHT
//*
//* Licensed under LGPL 2.1, please see LICENSE for details
//* https://www.gnu.org/licenses/lgpl-2.1.html
 
#pragma once
 
#include "libmesh/utility.h"
#include "SurrogateTrainer.h"
#include "MultiDimPolynomialGenerator.h"
#include "Calculators.h"
 
typedef StochasticTools::Calculator<std::vector<Real>, Real> RealCalculator;
 
class PolynomialRegressionTrainer : public SurrogateTrainer
{
public:
  static InputParameters validParams();
 
  PolynomialRegressionTrainer(const InputParameters & parameters);
 
  virtual void preTrain() override;
 
  virtual void train() override;
 
  virtual void postTrain() override;
 
private:
  const std::vector<Real> & _predictor_row;
 
  const MooseEnum & _regression_type;
 
  const Real & _penalty;
 
  std::vector<std::vector<Real>> & _coeff;
 
  const unsigned int & _max_degree;
 
  const std::vector<std::vector<unsigned int>> & _power_matrix;
 
  const unsigned int _n_poly_terms;
 
  DenseMatrix<Real> _matrix;
  std::vector<DenseVector<Real>> _rhs;
 
  std::vector<std::unique_ptr<RealCalculator>> _calculators;
 
  std::vector<Real> _r_sum;
};