ray.tune.logger.JsonLoggerCallback

class ray.tune.logger.JsonLoggerCallback

Bases: ray.tune.logger.logger.LoggerCallback

Logs trial results in json format.

Also writes to a results file and param.json file when results or configurations are updated. Experiments must be executed with the JsonLoggerCallback to be compatible with the ExperimentAnalysis tool.

PublicAPI: This API is stable across Ray releases.

Methods

get_state()	Get the state of the callback.
log_trial_restore(trial)	Handle logging when a trial restores.
log_trial_save(trial)	Handle logging when a trial saves a checkpoint.
on_checkpoint(iteration, trials, trial, ...)	Called after a trial saved a checkpoint with Tune.
on_experiment_end(trials, **info)	Called after experiment is over and all trials have concluded.
on_step_begin(iteration, trials, **info)	Called at the start of each tuning loop step.
on_step_end(iteration, trials, **info)	Called at the end of each tuning loop step.
on_trial_recover(iteration, trials, trial, ...)	Called after a trial instance failed (errored) but the trial is scheduled for retry.
set_state(state)	Set the state of the callback.
setup([stop, num_samples, total_num_samples])	Called once at the very beginning of training.