# optuna.integration.SkorchPruningCallback¶

class optuna.integration.SkorchPruningCallback(trial, monitor)[source]

Skorch callback to prune unpromising trials.

New in version 2.1.0.

Parameters
• trial – A Trial corresponding to the current evaluation of the objective function.

• monitor – 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)