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Variables
TtSemiLepJetCombMVATrainTreeSaver_cff Namespace Reference

Variables

 calibrationRecord
 
 loadState
 
 looper
 
 monitoring
 
 saveState
 
 saveTtSemiLepJetCombMVATrainTree
 provide a sequence to save a tree for the training More...
 
 trainDescription
 
 trainers
 
 useXSLT
 

Variable Documentation

◆ calibrationRecord

TtSemiLepJetCombMVATrainTreeSaver_cff.calibrationRecord

Definition at line 20 of file TtSemiLepJetCombMVATrainTreeSaver_cff.py.

◆ loadState

TtSemiLepJetCombMVATrainTreeSaver_cff.loadState

Definition at line 18 of file TtSemiLepJetCombMVATrainTreeSaver_cff.py.

◆ looper

TtSemiLepJetCombMVATrainTreeSaver_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.TopJetCombination.TtSemiLepJetCombMVATrainTreeSaver_cff import looper

process.looper = looper

Definition at line 15 of file TtSemiLepJetCombMVATrainTreeSaver_cff.py.

◆ monitoring

TtSemiLepJetCombMVATrainTreeSaver_cff.monitoring

Definition at line 17 of file TtSemiLepJetCombMVATrainTreeSaver_cff.py.

◆ saveState

TtSemiLepJetCombMVATrainTreeSaver_cff.saveState

Definition at line 19 of file TtSemiLepJetCombMVATrainTreeSaver_cff.py.

◆ saveTtSemiLepJetCombMVATrainTree

TtSemiLepJetCombMVATrainTreeSaver_cff.saveTtSemiLepJetCombMVATrainTree

provide a sequence to save a tree for the training

Definition at line 28 of file TtSemiLepJetCombMVATrainTreeSaver_cff.py.

◆ trainDescription

TtSemiLepJetCombMVATrainTreeSaver_cff.trainDescription

Definition at line 21 of file TtSemiLepJetCombMVATrainTreeSaver_cff.py.

◆ trainers

TtSemiLepJetCombMVATrainTreeSaver_cff.trainers

Definition at line 16 of file TtSemiLepJetCombMVATrainTreeSaver_cff.py.

◆ useXSLT

TtSemiLepJetCombMVATrainTreeSaver_cff.useXSLT

Definition at line 23 of file TtSemiLepJetCombMVATrainTreeSaver_cff.py.