avalanche.evaluation.metrics.StreamForgetting
- class avalanche.evaluation.metrics.StreamForgetting[source]
The StreamForgetting metric, describing the average evaluation accuracy loss detected over all experiences observed during training.
This plugin metric, computed over all observed experiences during training, is the average over the difference between the accuracy result obtained after first training on a experience and the accuracy result obtained on the same experience at the end of successive experiences.
This metric is computed during the eval phase only.
Methods
__init__
()Creates an instance of the StreamForgetting metric.
after_backward
(strategy)after_eval
(strategy)after_eval_dataset_adaptation
(strategy)after_eval_exp
(strategy)after_eval_forward
(strategy)after_eval_iteration
(strategy)after_forward
(strategy)after_train_dataset_adaptation
(strategy)after_training
(strategy)after_training_epoch
(strategy)after_training_exp
(strategy)after_training_iteration
(strategy)after_update
(strategy)before_backward
(strategy)before_eval
(strategy)before_eval_dataset_adaptation
(strategy)before_eval_exp
(strategy)before_eval_forward
(strategy)before_eval_iteration
(strategy)before_forward
(strategy)before_train_dataset_adaptation
(strategy)before_training
(strategy)before_training_epoch
(strategy)before_training_exp
(strategy)before_training_iteration
(strategy)before_update
(strategy)exp_result
(k)Result for experience defined by a key.
exp_update
(k, v[, initial])Update forgetting metric.
metric_result
(strategy)metric_update
(strategy)reset
()Resets the forgetting metrics.
reset_last
()Resets the last metric value.
result
()The average forgetting over all experience.
result_key
(k)Result for experience defined by a key.
update
(k, v[, initial])Update forgetting metric.
Attributes
stream_forgetting
The average forgetting over all experiences
forgetting
The general metric to compute forgetting
eval_exp_id
The current evaluation experience id
train_exp_id
The last encountered training experience id