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,
  ...
)

Arguments

object

learner

start_lr

starting learning rate

end_lr

end learning rate

num_it

number of iterations

stop_div

stop div or not

...

additional arguments to pass

Value

data frame

Examples


if (FALSE) {

model %>% lr_find()
model %>% plot_lr_find(dpi = 200)

}