avalanche.evaluation.metrics.MinibatchAccuracy
- class avalanche.evaluation.metrics.MinibatchAccuracy[source]
The minibatch plugin accuracy metric. This metric only works at training time.
This metric computes the average accuracy over patterns from a single minibatch. It reports the result after each iteration.
If a more coarse-grained logging is needed, consider using
EpochAccuracy
instead.Methods
__init__
()Creates an instance of the MinibatchAccuracy 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.
reset
([strategy])Resets the metric internal state.
result
([strategy])Obtains the value of the metric.
update
(strategy)