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tmva002_RDataFrameAsTensor.C
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/// \file
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/// \ingroup tutorial_tmva
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/// \notebook -nodraw
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/// This tutorial shows how the content of an RDataFrame can be converted to an
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/// RTensor object.
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///
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/// \macro_code
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/// \macro_output
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///
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/// \date December 2018
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/// \author Stefan Wunsch
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using namespace
TMVA::Experimental;
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void
tmva002_RDataFrameAsTensor()
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{
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// Creation of an RDataFrame with five entries filled with ascending numbers
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ROOT::RDataFrame df(5);
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auto
df2 = df.Define(
"x"
,
"1.f*rdfentry_"
).Define(
"y"
,
"-1.f*rdfentry_"
);
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// Convert content of columns to an RTensor object
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auto
x = AsTensor<float>(df2);
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std::cout <<
"RTensor from an RDataFrame:\n"
<< x <<
"\n\n"
;
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// The utility also supports reading only a part of the RDataFrame and different
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// memory layouts.
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auto
x2 = AsTensor<float>(df2, {
"x"
}, MemoryLayout::ColumnMajor);
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std::cout <<
"RTensor from a single column of the RDataFrame:\n"
<< x2 <<
"\n\n"
;
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}
tutorials
tmva
tmva002_RDataFrameAsTensor.C
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