ray.tune.logger.CSVLoggerCallback#

class ray.tune.logger.CSVLoggerCallback[source]#

Logs results to progress.csv under the trial directory.

Automatically flattens nested dicts in the result dict before writing to csv:

{“a”: {“b”: 1, “c”: 2}} -> {“a/b”: 1, “a/c”: 2}

Methods

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