avalanche.evaluation.metrics.ExperienceBWT
- class avalanche.evaluation.metrics.ExperienceBWT[source]
The Experience Backward Transfer metric.
This plugin metric, computed separately for each experience, is the difference between the last accuracy result obtained on a certain experience and the accuracy result obtained when first training on that experience.
This metric is computed during the eval phase only.
- __init__()
Creates an instance of the ExperienceForgetting metric.
Methods
__init__
()Creates an instance of the ExperienceForgetting metric.
after_backward
(strategy)Called after criterion.backward() by the BaseStrategy.
after_eval
(strategy)Called after eval by the BaseStrategy.
after_eval_dataset_adaptation
(strategy)Called after eval_dataset_adaptation by the BaseStrategy.
after_eval_exp
(strategy)Called after eval_exp by the BaseStrategy.
after_eval_forward
(strategy)Called after model.forward() by the BaseStrategy.
after_eval_iteration
(strategy)Called after the end of an iteration by the BaseStrategy.
after_forward
(strategy)Called after model.forward() by the BaseStrategy.
after_train_dataset_adaptation
(strategy)Called after train_dataset_adapatation by the BaseStrategy.
after_training
(strategy)Called after train by the BaseStrategy.
after_training_epoch
(strategy)Called after train_epoch by the BaseStrategy.
after_training_exp
(strategy)Called after train_exp by the BaseStrategy.
after_training_iteration
(strategy)Called after the end of a training iteration by the BaseStrategy.
after_update
(strategy)Called after optimizer.update() by the BaseStrategy.
before_backward
(strategy)Called before criterion.backward() by the BaseStrategy.
before_eval
(strategy)Called before eval by the BaseStrategy.
before_eval_dataset_adaptation
(strategy)Called before eval_dataset_adaptation by the BaseStrategy.
before_eval_exp
(strategy)Called before eval_exp by the BaseStrategy.
before_eval_forward
(strategy)Called before model.forward() by the BaseStrategy.
before_eval_iteration
(strategy)Called before the start of a training iteration by the BaseStrategy.
before_forward
(strategy)Called before model.forward() by the BaseStrategy.
before_train_dataset_adaptation
(strategy)Called before train_dataset_adapatation by the BaseStrategy.
before_training
(strategy)Called before train by the BaseStrategy.
before_training_epoch
(strategy)Called before train_epoch by the BaseStrategy.
before_training_exp
(strategy)Called before train_exp by the BaseStrategy.
before_training_iteration
(strategy)Called before the start of a training iteration by the BaseStrategy.
before_update
(strategy)Called before optimizer.update() by the BaseStrategy.
metric_result
(strategy)metric_update
(strategy)reset
()Resets the metric.
reset_last
()Resets the last metric value.
result
([k])See Forgetting documentation for more detailed information.
update
(k, v[, initial])Update forgetting metric.
Attributes