void SaveHMM(const HMM<gmm::GMM<> >& hmm,
util::SaveRestoreUtility& sr)
{
std::string type = "gmm";
size_t states = hmm.Transition().n_rows;
sr.SaveParameter(type, "hmm_type");
sr.SaveParameter(states, "hmm_states");
sr.SaveParameter(hmm.Transition(), "hmm_transition");
// Now the emissions.
for (size_t i = 0; i < states; ++i)
{
// Generate name.
std::stringstream s;
s << "hmm_emission_" << i << "_gaussians";
sr.SaveParameter(hmm.Emission()[i].Gaussians(), s.str());
s.str("");
s << "hmm_emission_" << i << "_weights";
sr.SaveParameter(hmm.Emission()[i].Weights(), s.str());
for (size_t g = 0; g < hmm.Emission()[i].Gaussians(); ++g)
{
s.str("");
s << "hmm_emission_" << i << "_gaussian_" << g << "_mean";
sr.SaveParameter(hmm.Emission()[i].Means()[g], s.str());
s.str("");
s << "hmm_emission_" << i << "_gaussian_" << g << "_covariance";
sr.SaveParameter(hmm.Emission()[i].Covariances()[g], s.str());
}
}
}
void SaveHMM(const HMM<distribution::DiscreteDistribution>& hmm,
util::SaveRestoreUtility& sr)
{
std::string type = "discrete";
size_t states = hmm.Transition().n_rows;
sr.SaveParameter(type, "hmm_type");
sr.SaveParameter(states, "hmm_states");
sr.SaveParameter(hmm.Transition(), "hmm_transition");
// Now the emissions.
for (size_t i = 0; i < states; ++i)
{
// Generate name.
std::stringstream s;
s << "hmm_emission_distribution_" << i;
sr.SaveParameter(hmm.Emission()[i].Probabilities(), s.str());
}
}
void SaveHMM(const HMM<distribution::GaussianDistribution>& hmm,
util::SaveRestoreUtility& sr)
{
std::string type = "gaussian";
size_t states = hmm.Transition().n_rows;
sr.SaveParameter(type, "hmm_type");
sr.SaveParameter(states, "hmm_states");
sr.SaveParameter(hmm.Transition(), "hmm_transition");
// Now the emissions.
for (size_t i = 0; i < states; ++i)
{
// Generate name.
std::stringstream s;
s << "hmm_emission_mean_" << i;
sr.SaveParameter(hmm.Emission()[i].Mean(), s.str());
s.str("");
s << "hmm_emission_covariance_" << i;
sr.SaveParameter(hmm.Emission()[i].Covariance(), s.str());
}
}
/**
* Save to SaveRestoreUtility.
*/
void DiscreteDistribution::Save(util::SaveRestoreUtility& n) const
{
n.SaveParameter(probabilities, "probabilities");
n.SaveParameter(Type(), "type");
}
/*&
* Save to SaveRestoreUtility.
*/
void GaussianDistribution::Save(util::SaveRestoreUtility& sr) const
{
sr.SaveParameter(Type(), "type");
sr.SaveParameter(mean, "mean");
sr.SaveParameter(covariance, "covariance");
}