Engine.evaluate

Engine.evaluate(split='validation')

One row per model: the comparison table the whole multi-model idea is for.

Parameters

Name	Type	Description	Default
split	str	Which data to score on.	'validation'

Returns

Name	Type	Description
	list[dict[str, Any]]	One row per model: what it is, how long it trained, its loss and its metrics.
	list[dict[str, Any]]	The loss column is comparable only between models trained on the same
	list[dict[str, Any]]	objective, which is why loss_function sits beside it.

Raises

Name	Type	Description
	EngineError	If the split carries no masks - and the message says predict works on it, because that is the question asked next.