Variables | |
tuple | looper |
------------------------------------------------------------------------------------------ configuration of event looper for mva taining; take care to make the looper known to the process. | |
tuple | saveTrainTree = cms.Sequence(buildTraintree) |
provide a sequence for the training remark: do not use this sequence if you want to call your trainer after an event filter since the SaveFile module should be called in an unfiltered path! |
00001 cms.Looper("TtSemiLepSignalSelMVATrainerLooper", 00002 trainers = cms.VPSet(cms.PSet( 00003 monitoring = cms.untracked.bool(False), 00004 loadState = cms.untracked.bool(False), 00005 saveState = cms.untracked.bool(True), 00006 calibrationRecord = cms.string('traintreeSaver'), 00007 trainDescription = cms.untracked.FileInPath( 00008 'TopQuarkAnalysis/TopEventSelection/data/TtSemiLepSignalSelMVATrainTreeSaver.xml') 00009 )) 00010 )
------------------------------------------------------------------------------------------ configuration of event looper for mva taining; take care to make the looper known to the process.
The way to do that is to add the following lines to your cfg.py
from TopQuarkAnalysis.TopEventSelection.TraintreeSaver_cff import looper process.looper = looper ------------------------------------------------------------------------------------------
Definition at line 18 of file TtSemiLepSignalSelMVATrainTreeSaver_cff.py.
tuple TtSemiLepSignalSelMVATrainTreeSaver_cff::saveTrainTree = cms.Sequence(buildTraintree) |
provide a sequence for the training remark: do not use this sequence if you want to call your trainer after an event filter since the SaveFile module should be called in an unfiltered path!
Definition at line 32 of file TtSemiLepSignalSelMVATrainTreeSaver_cff.py.