Is it possible to initialize the connection-weights of a neural network to some arbitrary values prior to beginning training? My understanding is the the TMVA::Reader class is able to read the .xml files produced by trained models in order to recreate said models, but I don’t know that the TMVA::Factory class can do this.
sorry, while in principle that would indeed a fairly easy thing to do, it’s not implemented for the MLP. The new DNN implemented by Peter had in his stand alone version some ‘resume-training’ from a given weightfile implemented, but it seems to be commented out for the TMVA version - I guess because it simply doesn’t ‘fit’ into the structure
That is unfortunate that no such feature exists (or rather, that it is not implemented in the TMVA version of the current ML methods). It seems that there are already a lot of new features in the pipeline for development in TMVA; nevertheless, is there a good person to contact to request this feature as well?