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Toolkit for Adaptive Stochastic Modeling and Non-Intrusive ApproximatioN: Tasmanian v8.1
tsgDreamLikelihoodCore.hpp
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30 
31 #ifndef __TASMANIAN_DREAM_LIKELY_CORE_HPP
32 #define __TASMANIAN_DREAM_LIKELY_CORE_HPP
33 
34 #include "tsgDreamEnumerates.hpp"
35 
54 namespace TasDREAM{
55 
58 
69 public:
74 
76 
82  virtual void getLikelihood(TypeSamplingForm form, const std::vector<double> &model, std::vector<double> &likely) const = 0;
83 
85  virtual void getLikelihood(TypeSamplingForm form, double const model[], int num_samples, double likely[]) const = 0;
86 
88  virtual int getNumOutputs() const = 0;
89 
91  virtual operator std::function<void(TypeSamplingForm, const std::vector<double> &, std::vector<double> &)>() const{
92  return [&](TypeSamplingForm form, const std::vector<double> &model, std::vector<double> &likely)->void{
93  getLikelihood(form, model, likely);
94  };
95  };
96 
97 };
98 
99 }
100 
101 #endif
Interface for the likelihood classes.
Definition: tsgDreamLikelihoodCore.hpp:68
virtual ~TasmanianLikelihood()
Empty virtual destructor.
Definition: tsgDreamLikelihoodCore.hpp:73
TasmanianLikelihood()
Empty default constructor.
Definition: tsgDreamLikelihoodCore.hpp:71
virtual int getNumOutputs() const =0
Return the number of expected model outputs.
virtual void getLikelihood(TypeSamplingForm form, const std::vector< double > &model, std::vector< double > &likely) const =0
Purely virtual method used by SampleDREAMPosterior(), computes the likelihood of multiple model value...
virtual void getLikelihood(TypeSamplingForm form, double const model[], int num_samples, double likely[]) const =0
Overload for raw-arrays, for interface purposes mostly, never called from C++ directly.
TypeSamplingForm
Describes whether sampling should be done with the regular or logarithm form of the probability densi...
Definition: tsgDreamEnumerates.hpp:90
Encapsulates the Tasmanian DREAM module.
Definition: TasmanianDREAM.hpp:80