avalanche.evaluation.metric_definitions.GenericPluginMetric
- class avalanche.evaluation.metric_definitions.GenericPluginMetric(metric, reset_at='experience', emit_at='experience', mode='eval')[source]
This class provides a generic implementation of a Plugin Metric. The user can subclass this class to easily implement custom plugin metrics.
- __init__(metric, reset_at='experience', emit_at='experience', mode='eval')[source]
Creates an instance of a plugin metric.
Child classes can safely invoke this (super) constructor as the first experience.
Methods
__init__
(metric[, reset_at, emit_at, mode])Creates an instance of a plugin 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)