Variables
	calibrationRecord

	loadState

	looper

	monitoring

	saveState

	saveTrainTree
	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...

	trainDescription

	trainers

	useXSLT

Variable Documentation

◆ calibrationRecord

TtFullHadSignalSelMVATrainTreeSaver_cff.calibrationRecord

Definition at line 23 of file TtFullHadSignalSelMVATrainTreeSaver_cff.py.

◆ loadState

TtFullHadSignalSelMVATrainTreeSaver_cff.loadState

Definition at line 21 of file TtFullHadSignalSelMVATrainTreeSaver_cff.py.

◆ looper

TtFullHadSignalSelMVATrainTreeSaver_cff.looper

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.

◆ monitoring

TtFullHadSignalSelMVATrainTreeSaver_cff.monitoring

Definition at line 20 of file TtFullHadSignalSelMVATrainTreeSaver_cff.py.

◆ saveState

TtFullHadSignalSelMVATrainTreeSaver_cff.saveState

Definition at line 22 of file TtFullHadSignalSelMVATrainTreeSaver_cff.py.

◆ saveTrainTree

TtFullHadSignalSelMVATrainTreeSaver_cff.saveTrainTree

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.