model.hpp

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#ifndef FIMS_COMMON_MODEL_HPP
#define FIMS_COMMON_MODEL_HPP
 
#include <future>
#include <memory>
 
#include "information.hpp"
 
namespace fims_model {
 
template <typename Type>
class Model {  // may need singleton
 public:
  static std::shared_ptr<Model<Type>>
      fims_model; 
  std::shared_ptr<fims_info::Information<Type>>
      fims_information; 
  Model() {}
 
  ~Model() {}
#ifdef TMB_MODEL
  ::objective_function<Type> *of;
#endif
 
  static std::shared_ptr<Model<Type>> GetInstance() {
    if (Model<Type>::fims_model == nullptr) {
      Model<Type>::fims_model = std::make_shared<fims_model::Model<Type>>();
      Model<Type>::fims_model->fims_information =
          fims_info::Information<Type>::GetInstance();
    }
    return Model<Type>::fims_model;
  }
 
  const Type Evaluate() {
    // jnll = negative-log-likelihood (the objective function)
    Type jnll = static_cast<Type>(0.0);
    typename fims_info::Information<Type>::model_map_iterator m_it;
    // Check if fims_information is set
    if (this->fims_information == nullptr) {
      FIMS_ERROR_LOG(
          "Model: fims_information is not set. Please set fims_information "
          "before "
          "calling Evaluate().");
      return jnll;
    }
 
    // Create vector for reporting out nll components
    fims::Vector<Type> nll_vec(
        this->fims_information->density_components.size(), 0.0);
 
    for (m_it = this->fims_information->models_map.begin();
         m_it != this->fims_information->models_map.end(); ++m_it) {
      //(*m_it).second points to the Model module
      std::shared_ptr<fims_popdy::FisheryModelBase<Type>> m = (*m_it).second;
      m->Prepare();
      m->Evaluate();
    }
 
    // Loop over densities and evaluate joint negative log densities for priors
    typename fims_info::Information<Type>::density_components_iterator d_it;
    int nll_vec_idx = 0;
    size_t n_priors = 0;
    for (d_it = this->fims_information->density_components.begin();
         d_it != this->fims_information->density_components.end(); ++d_it) {
      std::shared_ptr<fims_distributions::DensityComponentBase<Type>> d =
          (*d_it).second;
#ifdef TMB_MODEL
      d->of = this->of;
#endif
      if (d->input_type == "prior") {
        nll_vec[nll_vec_idx] = -d->evaluate();
        jnll += nll_vec[nll_vec_idx];
        n_priors += 1;
        nll_vec_idx += 1;
      }
    }
 
    FIMS_INFO_LOG(
        "Model: Finished evaluating prior distributions. The jnll after "
        "evaluating " +
        fims::to_string(n_priors) + " priors is: " + fims::to_string(jnll));
 
    // Loop over densities and evaluate joint negative log-likelihoods for
    // random effects
    size_t n_random_effects = 0;
    for (d_it = this->fims_information->density_components.begin();
         d_it != this->fims_information->density_components.end(); ++d_it) {
      std::shared_ptr<fims_distributions::DensityComponentBase<Type>> d =
          (*d_it).second;
#ifdef TMB_MODEL
      d->of = this->of;
#endif
      if (d->input_type == "random_effects") {
        nll_vec[nll_vec_idx] = -d->evaluate();
        jnll += nll_vec[nll_vec_idx];
        n_random_effects += 1;
        nll_vec_idx += 1;
      }
    }
 
    FIMS_INFO_LOG(
        "Model: Finished evaluating random effect distributions. The jnll "
        "after evaluating priors and " +
        fims::to_string(n_random_effects) +
        " random_effects is: " + fims::to_string(jnll));
 
    // Loop over and evaluate data joint negative log-likelihoods
    int n_data = 0;
    for (d_it = this->fims_information->density_components.begin();
         d_it != this->fims_information->density_components.end(); ++d_it) {
      std::shared_ptr<fims_distributions::DensityComponentBase<Type>> d =
          (*d_it).second;
#ifdef TMB_MODEL
      d->of = this->of;
      // d->keep = this->keep;
#endif
      if (d->input_type == "data") {
        nll_vec[nll_vec_idx] = -d->evaluate();
        jnll += nll_vec[nll_vec_idx];
        n_data += 1;
        nll_vec_idx += 1;
      }
    }
 
    FIMS_INFO_LOG(
        "Model: Finished evaluating data likelihoods. The jnll after "
        "evaluating priors, random effects, and " +
        fims::to_string(n_data) +
        " data likelihoods is: " + fims::to_string(jnll));
 
    // report out nll components
 
#ifdef TMB_MODEL
 
    vector<Type> nll_components = nll_vec.to_tmb();
    FIMS_REPORT_F(nll_components, this->of);
    FIMS_REPORT_F(jnll, this->of);
 
#endif
 
    // report out model family objects
    for (m_it = this->fims_information->models_map.begin();
         m_it != this->fims_information->models_map.end(); ++m_it) {
      //(*m_it).second points to the Model module
      std::shared_ptr<fims_popdy::FisheryModelBase<Type>> m = (*m_it).second;
      m->of = this->of;  // link to TMB objective function
      m->Report();
    }
 
    return jnll;
  }
};
 
// Create singleton instance of Model class
template <typename Type>
std::shared_ptr<Model<Type>> Model<Type>::fims_model =
    nullptr;  // singleton instance
}  // namespace fims_model
 
#endif /* FIMS_COMMON_MODEL_HPP */