avalanche.evaluation.metrics.EpochRMSE

class avalanche.evaluation.metrics.EpochRMSE

The average RMSE over a single training epoch. This plugin metric only works at training time.

The RMSE will be logged after each training epoch by computing the number of correctly predicted patterns during the epoch divided by the overall number of patterns encountered in that epoch.

__init__()

Creates an instance of the EpochRMSE metric.

Methods

__init__()	Creates an instance of the EpochRMSE 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)