1 #ifndef STAN_MCMC_HMC_STATIC_ADAPT_SOFTABS_STATIC_HMC_HPP
2 #define STAN_MCMC_HMC_STATIC_ADAPT_SOFTABS_STATIC_HMC_HPP
16 template <
class Model,
class BaseRNG>
void complete_adaptation(double &epsilon)
double accept_stat() const
Probability, optimization and sampling library.
Hamiltonian Monte Carlo implementation using the endpoint of trajectories with a static integration t...
adapt_softabs_static_hmc(const Model &model, BaseRNG &rng)
void learn_stepsize(double &epsilon, double adapt_stat)
base_writer is an abstract base class defining the interface for Stan writer callbacks.
~adapt_softabs_static_hmc()
virtual void disengage_adaptation()
Hamiltonian Monte Carlo implementation using the endpoint of trajectories with a static integration t...
void disengage_adaptation()
stepsize_adaptation stepsize_adaptation_
sample transition(sample &init_sample, interface_callbacks::writer::base_writer &info_writer, interface_callbacks::writer::base_writer &error_writer)
sample transition(sample &init_sample, interface_callbacks::writer::base_writer &info_writer, interface_callbacks::writer::base_writer &error_writer)