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LearnerND scale output values before computing loss

Jorn Hoofwijk requested to merge 78-scale-output-values into master

Closes #78 (closed)

In a way similar to the Learner1D

Recompute all losses when the scale increases with a factor 1.1.

My simple measurements indicate that with the ring_of_fire as test function the learner slows down approximately 10%. But we get in return that we scale everything to equivalent sizes before computing the loss.


  • Add some test(s).
Edited by Jorn Hoofwijk

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