1 #ifndef STAN_MCMC_HMC_STATIC_UNIFORM_ADAPT_DENSE_E_STATIC_UNIFORM_HPP
2 #define STAN_MCMC_HMC_STATIC_UNIFORM_ADAPT_DENSE_E_STATIC_UNIFORM_HPP
15 template <
typename Model,
class BaseRNG>
40 (this->
z_.mInv, this->z_.q);
void complete_adaptation(double &epsilon)
dense_e_metric< Model, BaseRNG >::PointType z_
double accept_stat() const
Probability, optimization and sampling library.
void learn_stepsize(double &epsilon, double adapt_stat)
bool learn_covariance(Eigen::MatrixXd &covar, const Eigen::VectorXd &q)
stepsize_adaptation stepsize_adaptation_
covar_adaptation covar_adaptation_
base_writer is an abstract base class defining the interface for Stan writer callbacks.
virtual void disengage_adaptation()
void init_stepsize(interface_callbacks::writer::base_writer &info_writer, interface_callbacks::writer::base_writer &error_writer)