googlebot:

Yes, you change targets, so that their distribution is more similar to uniform. Actually, uniformity is also one of the reasons to use per-cluster regression for inhomogeneous targets (like you tried above IIUC)


I see, thank a lot for the feedback.
Actually just for clarification, if I understand it correctly the use of weights is still reasonable to use after the transformation, right. I mean, in my loss function I first apply the log (or any other uniformity) transform to my target values, then I subtract them from the regressed ones and then I apply the weights, am I grasping it correctly?