optuna.pruners
The ~optuna.pruners module defines a ~optuna.pruners.BasePruner class characterized by an abstract ~optuna.pruners.BasePruner.prune method, which, for a given trial and its associated study, returns a boolean value representing whether the trial should be pruned. This determination is made based on stored intermediate values of the objective function, as previously reported for the trial using optuna.trial.Trial.report. The remaining classes in this module represent child classes, inheriting from ~optuna.pruners.BasePruner, which implement different pruning strategies.
Warning
Currently ~optuna.pruners module is expected to be used only for single-objective optimization.
pruning tutorial explains the concept of the pruner classes and a minimal example.
user_defined_pruner tutorial could be helpful if you want to implement your own pruner classes.
optuna.pruners.BasePruner optuna.pruners.MedianPruner optuna.pruners.NopPruner optuna.pruners.PatientPruner optuna.pruners.PercentilePruner optuna.pruners.SuccessiveHalvingPruner optuna.pruners.HyperbandPruner optuna.pruners.ThresholdPruner optuna.pruners.WilcoxonPruner