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2 votes

XGBoost: does manipulating the sample make it "extrapolate"?

If there is no information that allows your system to learn when spikes will occur, it will not predict spikes, no matter what you do. This is just another way of saying that you always have ...
Stephan Kolassa's user avatar
2 votes

BerHu custom loss function for XGBoost

Looking at the pseudo-Huber loss, given by (to use R code): pseudo_huber <- function(x, delta) delta^2 * (sqrt(1+(x/delta)^2) -1) you can see how that gets the ...
Björn's user avatar
  • 32.9k
1 vote

How to do classification in mixed effect models in python. My data is nested into groups with binary outcome

Statsmodels package has a GLMM functionality: BinomialBayesMixedGLM and PoissonBayesMixedGLM....
Roger V.'s user avatar
  • 4,316

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