avalanche.evaluation.metrics.TrainedExperienceR2

class avalanche.evaluation.metrics.TrainedExperienceR2

At the end of each experience, this plugin metric reports the average R2 for only the experiences that the model has been trained on so far.

This metric only works at eval time.

__init__()

Creates an instance of TrainedExperienceR2 metric by first constructing R2PluginMetric

Methods

__init__()	Creates an instance of TrainedExperienceR2 metric by first constructing R2PluginMetric
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)	Only update the R2 with results from experiences that have been trained on