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tmva
tmvagui
inc
TMVA
variablesMultiClass.h
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#ifndef variablesMultiClass__HH
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#define variablesMultiClass__HH
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#include "
tmvaglob.h
"
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namespace
TMVA
{
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// this macro plots the distributions of the different input variables
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// used in TMVA (e.g. running TMVAnalysis.C). Signal and Background are overlayed.
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// input: - Input file (result from TMVA),
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// - normal/decorrelated/PCA
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// - use of TMVA plotting TStyle
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void
variablesMultiClass
(
TString
dataset,
TString
fin =
"TMVA.root"
,
TString
dirName =
"InputVariables_Id"
,
TString
title =
"TMVA Input Variables"
,
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Bool_t
isRegression =
kFALSE
,
Bool_t
useTMVAStyle =
kTRUE
);
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}
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#endif
kFALSE
const Bool_t kFALSE
Definition:
RtypesCore.h:88
Bool_t
bool Bool_t
Definition:
RtypesCore.h:59
kTRUE
const Bool_t kTRUE
Definition:
RtypesCore.h:87
TString
Basic string class.
Definition:
TString.h:131
TMVA
Abstract ClassifierFactory template that handles arbitrary types.
Definition:
GeneticMinimizer.h:21
TMVA::variablesMultiClass
void variablesMultiClass(TString dataset, TString fin="TMVA.root", TString dirName="InputVariables_Id", TString title="TMVA Input Variables", Bool_t isRegression=kFALSE, Bool_t useTMVAStyle=kTRUE)
tmvaglob.h