TtFullHadSignalSelMVATrainTreeSaver_cff Namespace Reference

Variables
tuple	looper
	configuration of event looper for mva taining; take care to make the looper known to the process. More...
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! More...

Variable Documentation

tuple TtFullHadSignalSelMVATrainTreeSaver_cff.looper

Initial value:

= 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)
        )
    )
)

---

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 TtFullHadSignalSelMVATrainTreeSaver_cff.py.

tuple TtFullHadSignalSelMVATrainTreeSaver_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 34 of file TtFullHadSignalSelMVATrainTreeSaver_cff.py.