Comments (3)
thanks for the issue. quick clarifying question: Are you suggesting relative errors (a) where each datapoint is normalized by its target value or (b) where the final fitness is normalized by some aggregate measure of all the datapoints (like an average)
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Hi there, definitely case (a). Normalizing each data-point by it's own target value allows to treat cases in which one wants to have the best percentage error.
from bingo.
the feature is now live on the develop branch.
ExplicitRegression(..., relative=True)
just be careful with training data with near 0 y values ;)
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Related Issues (9)
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