log_event {tfevents}

Log event

Description

Log event

Usage

log_event(..., step = get_global_step(increment = TRUE))

Arguments

...

Named values that you want to log. They can be possibly nested, in this case, the enclosing names are considered 'run' names by TensorBoard.

step

The step associated the logs. If NULL, a managed step counter will be used, and the global step is increased in every call to log_event().

Value

Invisibly returns the logged data.

Note

log_event() writes events to the default logdir. You can query the default logdir with get_default_logdir() and modify it with set_default_logdir(). You can also use the with_logdir() context switcher to temporarily modify the logdir.

Examples

temp <- tempfile()
with_logdir(temp, {
  log_event(
     train = list(loss = runif(1), acc = runif(1)),
     valid = list(loss = runif(1), acc = runif(1))
  )
})