Launch a mock training to find a good learning rate, return lr_min, lr_steep if `suggestions` is TRUE
lr_find(
object,
start_lr = 1e-07,
end_lr = 10,
num_it = 100,
stop_div = TRUE,
...
)
learner
starting learning rate
end learning rate
number of iterations
stop div or not
additional arguments to pass
data frame
if (FALSE) {
model %>% lr_find()
model %>% plot_lr_find(dpi = 200)
}