continue_lcm_tree | R Documentation |
can definitely ignore this function, and use lcm_tree directly with various settings. So this function is for lazy persons.
continue_lcm_tree( old_mod, update_hyper_freq = NULL, print_freq = NULL, tol = 1e-08, tol_hyper = 1e-04, max_iter = 5000, nrestarts = 1, keep_restarts = TRUE, parallel = TRUE, log_restarts = FALSE, log_dir = ".", random_init = FALSE, allow_continue = FALSE )
old_mod |
fitted object from |
update_hyper_freq |
How frequently to update hyperparameters. Default = every 50 iterations. |
print_freq |
How often to print out iteration number and current value of epsilon (the difference in objective function value for the two most recent iterations). |
tol |
Convergence tolerance for the objective function.
Default is |
tol_hyper |
The convergence tolerance for the objective function
between subsequent hyperparameter updates. Typically it is a more generous
tolerance than |
max_iter |
Maximum number of iterations of the VI algorithm.
Default is |
nrestarts |
Number of random re-starts of the VI algorithm.
The restart that gives the highest value of the objective function will
be returned. It is recommended to choose |
keep_restarts |
If |
parallel |
If |
log_restarts |
If |
log_dir |
Directory for logging progress of random restarts. Default is the working directory. |
random_init |
If |
allow_continue |
logical, |
lcm_tree()
Other lcm_tree functions:
lcm_tree()
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