I’m training a BDT and a DNN with real data and some Monte Carlo simulated data. As real data has weight equal to 1, and simulated data has weights bigger or smaller than 1, I was wondering how could I include this weights into the model trainings. For BDT I could take them in as weights for the trees, or as initial weights for each event? And for DNN, could the weights be incorporated as initial weights too?
I would really appreciate your guidance.
Thank you in advance.
Have a nice weekend!
TMVA provides support for both DNN and BDT of single event weights. You need just to call the function
DataLoader::SetSignalWeightExpression for the signal tree and
DataLoader::SetBackgroundWeightExpression for the background tree. You can see example in the tutorial, ``TMVAClassification.C`
Thanks for the answer.
So if I understand well,
dataloader->SetBackgroundWeightExpression( "weight" ) takes the variable “weight” from the signal tree?
I really apprecciate your help.