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;
};