Metrics

			Metrics(metrics...) <: Callback

Callback that tracks metrics during training.

You can pass any number of metrics with every argument being

• an AbstractMetric like Metric ; or

• a function f(ŷs, ys) -> val

This callback is added by default to every Learner unless you pass in
usedefaultcallbacks = false . A metric tracking learner.lossfn Loss
is included by default.

The computed metrics can be access in learner.cbstate.metricsstep and
learner.cbstate.metricsepoch for steps and epochs, respectively.

Examples

Track accuracy :

			
			
			
			cb
			
			 
			
			=
			
			 
			
			
	
		
			Metrics
			
			(
			
	
		
			accuracy
			
			)

Pass in [ Metric ]s:

			
			
			
			cb
			
			 
			
			=
			
			 
			
			
	
		
			Metrics
			
			(
			
			
    
			
			
	
		
			Metric
			
			(
			
			
			Flux
			
			.
			
			
			mse
			
			,
			
			 
			
			
			device
			
			 
			
			=
			
			 
			
			gpu
			
			)
			
			,
			
			
    
			
			
	
		
			Metric
			
			(
			
			
			Flux
			
			.
			
			
			mae
			
			,
			
			 
			
			
			device
			
			 
			
			=
			
			 
			
			gpu
			
			)
			
			

			
			)