avalanche.evaluation.metrics.MeanScoresTrainPluginMetric

class avalanche.evaluation.metrics.MeanScoresTrainPluginMetric(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>)

Plugin to show the scores of the true class during the lasts training

epochs of each experience, 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)