/afs/cern.ch/work/a/aaltunda/public/www/CMSSW_5_3_14/src/TopQuarkAnalysis/TopEventSelection/python/TtFullHadSignalSelMVATrainer_cfi.py

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import FWCore.ParameterSet.Config as cms

#
# module to make mvaTraining for jet parton associations
#
buildTraintree = cms.EDAnalyzer("TtFullHadSignalSelMVATrainer",
    #input tags used in the example
    jets   = cms.InputTag("selectedPatJets"),

    #three possibilities:
    # whatData=-1: in your training-file both, signal and background events are available
    # whatData=1: your training-file contains only signal events
    # whatData=0: your training-file contains only background events
    whatData = cms.int32(1),

    #maximum number of training events to be used
    # maxEv = -1: all events are used
    # for example maxEv = 5000: writes only the first 5000 events to the training tree
    maxEv = cms.int32(-1),
    #event weight to be put here:
    # standard is set to 1, so no weight is applied
    # for example if different samples with different integrated luminosities have to be combined
    weight = cms.double(1.0)
)