Engine.fit

Engine.fit(verbose=False)

Train every model the spec asks for, in order.

Parameters

Name	Type	Description	Default
verbose	bool	Print each model’s name and its per-epoch numbers as they arrive.	False

Returns

Name	Type	Description
	dict[str, History]	One History per model, by name. The same objects stay on the engine, so
	dict[str, History]	evaluate, predict and export_weights work afterwards.

Raises

Name	Type	Description
	EngineError	If a split a model needs is missing, or carries no masks while something is about to score against it. check_masks is what refuses a declared class appearing in no mask: a target channel that is zero everywhere has no gradient towards it, so the model is never shown what to find.