BayesianActiveLearningSampler.h

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//* This file is part of the MOOSE framework
//* https://www.mooseframework.org
//*
//* 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 "PMCMCBase.h"
#include "ReporterInterface.h"
 
class BayesianActiveLearningSampler : public PMCMCBase
{
public:
  static InputParameters validParams();
 
  BayesianActiveLearningSampler(const InputParameters & parameters);
 
  const std::vector<std::vector<Real>> & getSampleTries() const;
 
  const std::vector<Real> & getVarSampleTries() const;
 
protected:
  virtual void proposeSamples() override;
 
  const std::vector<unsigned int> & _sorted_indices;
 
private:
  const unsigned int & _num_tries;
 
  std::vector<std::vector<Real>> _inputs_test;
 
  std::vector<Real> _var_test;
};