avalanche.evaluation.metrics.MeanScoresEvalPluginMetric
- class avalanche.evaluation.metrics.MeanScoresEvalPluginMetric(image_creator: ~typing.Optional[~typing.Callable[[~typing.Dict[~typing.Literal['new', 'old'], ~typing.Dict[int, int]]], ~matplotlib.figure.Figure]] = <function default_mean_scores_image_creator>)[source]
- Plugin to show the scores of the true class during evaluation, averaged by
new and old classes.
- __init__(image_creator: ~typing.Optional[~typing.Callable[[~typing.Dict[~typing.Literal['new', 'old'], ~typing.Dict[int, int]]], ~matplotlib.figure.Figure]] = <function default_mean_scores_image_creator>)
Creates an instance of a plugin metric.
Child classes can safely invoke this (super) constructor as the first experience.
Methods
__init__
([image_creator])Creates an instance of a plugin 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)reset
()Resets the metric internal state.
result
()Obtains the value of the metric.
update
(strategy)update_new_classes
(strategy)