avalanche.evaluation.metrics.Forgetting

class avalanche.evaluation.metrics.Forgetting

The standalone Forgetting metric. This metric returns the forgetting relative to a specific key. Alternatively, this metric returns a dict in which each key is associated to the forgetting. Forgetting is computed as the difference between the first value recorded for a specific key and the last value recorded for that key. The value associated to a key can be update with the update method.

At initialization, this metric returns an empty dictionary.

__init__()

Creates an instance of the standalone Forgetting metric

Methods

__init__()	Creates an instance of the standalone Forgetting metric
reset()	Resets the metric internal state.
reset_last()
result()	Compute the forgetting for all keys.
result_key(k)	Compute the forgetting for a specific key.
update(k, v[, initial])
update_initial(k, v)
update_last(k, v)

Attributes

initial	The initial value for each key.
last	The last value detected for each key