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correlationscatters.h
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#ifndef correlationscatters__HH
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#define correlationscatters__HH
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#include "
tmvaglob.h
"
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namespace
TMVA
{
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// this macro plots the correlations (as scatter plots); of
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// the various input variable combinations used in TMVA (e.g. running
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// TMVAnalysis.C). Signal and Background are plotted separately
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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
correlationscatters
(
TString
dataset,
TString
fin ,
TString
var=
"var3"
,
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TString
dirName_ =
"InputVariables_Id"
,
TString
title =
"TMVA Input Variable"
,
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Bool_t
isRegression =
kFALSE
,
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Bool_t
useTMVAStyle =
kTRUE
);
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}
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#endif
Bool_t
bool Bool_t
Definition
RtypesCore.h:63
kFALSE
constexpr Bool_t kFALSE
Definition
RtypesCore.h:94
kTRUE
constexpr Bool_t kTRUE
Definition
RtypesCore.h:93
TString
Basic string class.
Definition
TString.h:139
TMVA
create variable transformations
Definition
GeneticMinimizer.h:22
TMVA::correlationscatters
void correlationscatters(TString dataset, TString fin, TString var="var3", TString dirName_="InputVariables_Id", TString title="TMVA Input Variable", Bool_t isRegression=kFALSE, Bool_t useTMVAStyle=kTRUE)
tmvaglob.h
tmva
tmvagui
inc
TMVA
correlationscatters.h
ROOT master - Reference Guide Generated on Wed Aug 14 2024 14:54:52 (GVA Time) using Doxygen 1.9.8