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00001 import FWCore.ParameterSet.Config as cms 00002 00003 # 00004 # module to make mvaTraining for jet parton associations 00005 # 00006 buildTraintree = cms.EDAnalyzer("TtSemiLepSignalSelMVATrainer", 00007 #input tags used in the example 00008 muons = cms.InputTag("selectedPatMuons"), 00009 elecs = cms.InputTag("selectedPatElectrons"), 00010 jets = cms.InputTag("selectedPatJets"), 00011 mets = cms.InputTag("patMETs"), 00012 00013 # ------------------------------------------------ 00014 # select semileptonic signal channel 00015 # (all others are taken as background for training) 00016 # 1: electron, 2: muon, 3: tau 00017 # ------------------------------------------------ 00018 lepChannel = cms.int32(2), 00019 00020 #three possibilities: 00021 # whatData=-1: in your training-file both, signal and background events are available 00022 # whatData=1: your training-file contains only signal events 00023 # whatData=0: your training-file contains only background events 00024 whatData = cms.int32(1), 00025 00026 #maximum number of training events to be used 00027 # maxEv = -1: all events are used 00028 # for example maxEv = 5000: writes only the first 5000 events to the training tree 00029 maxEv = cms.int32(-1), 00030 )
1.7.3