TtFullHadSignalSelMVATrainTreeSaver_cff.py

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import FWCore.ParameterSet.Config as cms
 
#
# produce mvaComputer with all necessary ingredients
#
 
 
from TopQuarkAnalysis.TopEventSelection.TtFullHadSignalSelMVATrainer_cfi import *
 
 
looper = cms.Looper("TtFullHadSignalSelMVATrainerLooper",
    trainers = cms.VPSet(cms.PSet(
        monitoring = cms.untracked.bool(False),
        loadState  = cms.untracked.bool(False),
        saveState  = cms.untracked.bool(True),
        calibrationRecord = cms.string('traintreeSaver'),
        trainDescription = cms.untracked.FileInPath(
            'TopQuarkAnalysis/TopEventSelection/data/TtFullHadSignalSelMVATrainTreeSaver.xml'),
        useXSLT = cms.untracked.bool(True)
        )
    )
)
 
 
saveTrainTree = cms.Sequence(buildTraintree)