ray.tune.search.bayesopt.BayesOptSearch.on_trial_result

BayesOptSearch.on_trial_result(trial_id: str, result: Dict) → None

Optional notification for result during training.

Note that by default, the result dict may include NaNs or may not include the optimization metric. It is up to the subclass implementation to preprocess the result to avoid breaking the optimization process.

Parameters:

• trial_id – A unique string ID for the trial.

• result – Dictionary of metrics for current training progress. Note that the result dict may include NaNs or may not include the optimization metric. It is up to the subclass implementation to preprocess the result to avoid breaking the optimization process.