avalanche.evaluation.metrics.RunningEpochR2

class avalanche.evaluation.metrics.RunningEpochR2[source]

The average R2 across all minibatches up to the current epoch iteration. This plugin metric only works at training time.

At each iteration, this metric logs the R2 averaged over all patterns seen so far in the current epoch. The metric resets its state after each training epoch.

__init__()[source]

Creates an instance of the RunningEpochR2 metric.

Methods

__init__()

Creates an instance of the RunningEpochR2 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)