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Variables
TtFullHadSignalSelMVATrainTreeSaver_cff Namespace Reference

Variables

 calibrationRecord
 
 loadState
 
 looper
 

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

 
 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

TtFullHadSignalSelMVATrainTreeSaver_cff.calibrationRecord

Definition at line 23 of file TtFullHadSignalSelMVATrainTreeSaver_cff.py.

TtFullHadSignalSelMVATrainTreeSaver_cff.loadState

Definition at line 21 of file TtFullHadSignalSelMVATrainTreeSaver_cff.py.

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.

TtFullHadSignalSelMVATrainTreeSaver_cff.monitoring
TtFullHadSignalSelMVATrainTreeSaver_cff.saveState

Definition at line 22 of file TtFullHadSignalSelMVATrainTreeSaver_cff.py.

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.

TtFullHadSignalSelMVATrainTreeSaver_cff.trainDescription
TtFullHadSignalSelMVATrainTreeSaver_cff.trainers

Definition at line 19 of file TtFullHadSignalSelMVATrainTreeSaver_cff.py.

TtFullHadSignalSelMVATrainTreeSaver_cff.useXSLT