Hi to everybody. I would like to use TMVA to “reshape” the background into the signal.
At the moment, I am using the classical approach: I am evaluating the TMVA Method result with
reader->EvaluateMVA("method") and selecting events above a given cut.
What I would like to know is if it is possible to have weights that can change the shape of the background to the signal one. Let me rephrase it: I would like to know if there is something similar to the Keras “predict” method. I couldn’t find anything similar in TMVA documentation.
The return value of
reader->EvaluateMVA("method") would be the same as when using
predict in Keras.
For BDT you can use the new
RReader::Compute interface, see the tutorial
Thank you for the help, Lorenzo!
I’ll try to use the reader output as weights, then. Just a question: is this new
RReader::Compute interface working with other MVA methods (e.g. MLP and DL)?
This new interface,
RReader should work also for the pother TMVA methods, since it uses internally the old
TMVA::Reader class. If you have any issue using it with other methods, please let me know