1 #ifndef STAN_MCMC_HMC_NUTS_ADAPT_UNIT_E_NUTS_CLASSIC_HPP
2 #define STAN_MCMC_HMC_NUTS_ADAPT_UNIT_E_NUTS_CLASSIC_HPP
15 template <
class Model,
class BaseRNG>
void complete_adaptation(double &epsilon)
sample transition(sample &init_sample, interface_callbacks::writer::base_writer &info_writer, interface_callbacks::writer::base_writer &error_writer)
double accept_stat() const
Probability, optimization and sampling library.
void learn_stepsize(double &epsilon, double adapt_stat)
adapt_unit_e_nuts_classic(const Model &model, BaseRNG &rng)
base_writer is an abstract base class defining the interface for Stan writer callbacks.
virtual void disengage_adaptation()
void disengage_adaptation()
~adapt_unit_e_nuts_classic()
stepsize_adaptation stepsize_adaptation_
sample transition(sample &init_sample, interface_callbacks::writer::base_writer &info_writer, interface_callbacks::writer::base_writer &error_writer)