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PolynomialChaosTrainer.h
Go to the documentation of this file.
1//* This file is part of the MOOSE framework
2//* https://mooseframework.inl.gov
3//*
4//* All rights reserved, see COPYRIGHT for full restrictions
5//* https://github.com/idaholab/moose/blob/master/COPYRIGHT
6//*
7//* Licensed under LGPL 2.1, please see LICENSE for details
8//* https://www.gnu.org/licenses/lgpl-2.1.html
9
10#pragma once
11
12#include "SurrogateTrainer.h"
14#include "QuadratureSampler.h"
16#include "Calculators.h"
17
18#include "Distribution.h"
19
21
23{
24public:
27 virtual void preTrain() override;
28 virtual void train() override;
29 virtual void postTrain() override;
30
31private:
33 const std::vector<Real> & _predictor_row;
34
36 const unsigned int & _order;
37
39 unsigned int & _ndim;
40
42 std::vector<std::vector<unsigned int>> & _tuple;
43
45 std::size_t & _ncoeff;
46
48 std::vector<Real> & _coeff;
49
51 std::vector<std::unique_ptr<const PolynomialQuadrature::Polynomial>> & _poly;
52
54 unsigned int _rtype;
55
57 const Real & _ridge_penalty;
58
61
63 std::vector<std::unique_ptr<RealCalculator>> _calculators;
64 Real _r_sum;
65
68 DenseMatrix<Real> _matrix;
69 DenseVector<Real> _rhs;
71};
StochasticTools::Calculator< std::vector< Real >, Real > RealCalculator
const InputParameters & parameters() const
unsigned int & _ndim
Total number of parameters/dimensions.
const unsigned int & _order
Maximum polynomial order. The sum of 1D polynomial orders does not go above this value.
unsigned int _rtype
The method in which to perform the regression (0=integration, 1=OLS)
const Real & _ridge_penalty
The penalty parameter for Ridge regularization.
virtual void preTrain() override
QuadratureSampler * _quad_sampler
QuadratureSampler pointer, necessary for applying quadrature weights.
std::vector< std::unique_ptr< RealCalculator > > _calculators
Calculators used for standardization in linear regression.
std::vector< std::unique_ptr< const PolynomialQuadrature::Polynomial > > & _poly
The distributions used for sampling.
virtual void postTrain() override
std::vector< Real > & _coeff
These are the coefficients we are after in the PC expansion.
std::vector< std::vector< unsigned int > > & _tuple
A _ndim-by-_ncoeff matrix containing the appropriate one-dimensional polynomial order.
virtual void train() override
const std::vector< Real > & _predictor_row
Predictor values.
std::size_t & _ncoeff
Total number of coefficient (defined by size of _tuple)
static InputParameters validParams()
A class used to produce samples based on quadrature for Polynomial Chaos.
This is the main trainer base class.