optuna_integration.SkorchPruningCallback

class optuna_integration.SkorchPruningCallback(trial, monitor)[source]

Skorch callback to prune unpromising trials.

Added in version 2.1.0.

Parameters:

trial (optuna.trial.Trial) – A Trial corresponding to the current evaluation of the objective function.
monitor (str) – An evaluation metric for pruning, e.g. val_loss or val_acc. The metrics are obtained from the returned dictionaries, i.e., net.histroy. The names thus depend on how this dictionary is formatted.

Methods

on_epoch_end(net, **kwargs)