avalanche.evaluation.metrics.ForwardTransfer

class avalanche.evaluation.metrics.ForwardTransfer

The standalone Forward Transfer metric. This metric returns the forward transfer relative to a specific key. Alternatively, this metric returns a dict in which each key is associated to the forward transfer. Forward transfer is computed as the difference between the value recorded for a specific key after the previous experience has been trained on, and random initialization before training. The value associated to a key can be updated with the update method.

At initialization, this metric returns an empty dictionary.

__init__()

Creates an instance of the standalone Forward Transfer metric

Methods

__init__()	Creates an instance of the standalone Forward Transfer metric
reset()	Resets the metric internal state.
result()	Compute the forward transfer for all keys.
result_key(k)	Compute the forward transfer for a specific key.
update(k, v[, initial])
update_initial(k, v)
update_previous(k, v)

Attributes

initial	The initial value for each key.
previous	The previous experience value detected for each key