Estimate training time
Arguments
- object
an untrained
aorsf
object- n_tree_subset
(integer) how many trees should be fit in order to estimate the time needed to train
object
. The default value is 50, as this usually gives a good enough approximation.
Value
a difftime object.
Examples
# specify but do not train the model by setting no_fit = TRUE.
object <- orsf(pbc_orsf, Surv(time, status) ~ . - id,
n_tree = 500, n_thread = 1, no_fit = TRUE)
# approximate the time it will take to grow 500 trees
time_estimated <- orsf_time_to_train(object)
print(time_estimated)
#> Time difference of 0.2112341 secs
# let's see how close the approximation was
time_true_start <- Sys.time()
orsf_train(object)
time_true_stop <- Sys.time()
time_true <- time_true_stop - time_true_start
print(time_true)
#> Time difference of 0.2019589 secs
# error
abs(time_true - time_estimated)
#> Time difference of 0.009275198 secs