Definition at line 33 of file RooUnbinnedL.h.
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| RooUnbinnedL (const RooUnbinnedL &other) |
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| RooUnbinnedL (RooAbsPdf *pdf, RooAbsData *data, RooAbsL::Extended extended=RooAbsL::Extended::Auto, RooFit::EvalBackend evalBackend=RooFit::EvalBackend::Legacy()) |
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| ~RooUnbinnedL () override |
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ROOT::Math::KahanSum< double > | evaluatePartition (Section events, std::size_t components_begin, std::size_t components_end) override |
| Calculate and return likelihood on subset of data from firstEvent to lastEvent processed with a step size of 'stepSize'.
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std::string | GetClassName () const override |
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bool | setApplyWeightSquared (bool flag) |
| Returns true if value was changed, false otherwise.
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| RooAbsL (ClonePdfData in, std::size_t N_events, std::size_t N_components, Extended extended=Extended::Auto) |
| Constructor that clones the pdf/data and owns those cloned copies.
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| RooAbsL (const RooAbsL &other) |
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| RooAbsL (RooAbsPdf *pdf, RooAbsData *data, std::size_t N_events, std::size_t N_components, Extended extended=Extended::Auto) |
| Constructor that does not clone pdf/data and uses the shared_ptr aliasing constructor to make it non-owning.
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virtual | ~RooAbsL ()=default |
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virtual void | constOptimizeTestStatistic (RooAbsArg::ConstOpCode opcode, bool doAlsoTrackingOpt) |
| Interface function signaling a request to perform constant term optimization.
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virtual double | defaultErrorLevel () const |
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virtual std::string | GetInfo () const |
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virtual std::string | GetName () const |
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std::size_t | getNComponents () const |
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std::size_t | getNEvents () const |
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virtual std::unique_ptr< RooArgSet > | getParameters () |
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virtual std::string | GetTitle () const |
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void | initClones (RooAbsPdf &inpdf, RooAbsData &indata) |
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bool | isExtended () const |
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virtual std::size_t | numDataEntries () const |
| Number of dataset entries.
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void | setSimCount (std::size_t value) |
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#include <RooFit/TestStatistics/RooUnbinnedL.h>
◆ RooUnbinnedL() [1/2]
◆ RooUnbinnedL() [2/2]
◆ ~RooUnbinnedL()
RooUnbinnedL::~RooUnbinnedL |
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overridedefault |
◆ evaluatePartition()
Calculate and return likelihood on subset of data from firstEvent to lastEvent processed with a step size of 'stepSize'.
If this an extended likelihood and and the zero event is processed the extended term is added to the return likelihood.
Implements RooFit::TestStatistics::RooAbsL.
Definition at line 187 of file RooUnbinnedL.cxx.
◆ GetClassName()
std::string RooFit::TestStatistics::RooUnbinnedL::GetClassName |
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const |
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inlineoverridevirtual |
◆ setApplyWeightSquared()
bool RooUnbinnedL::setApplyWeightSquared |
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bool |
flag | ) |
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Returns true if value was changed, false otherwise.
Definition at line 90 of file RooUnbinnedL.cxx.
◆ _first
bool RooFit::TestStatistics::RooUnbinnedL::_first = true |
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mutableprivate |
◆ _vectorBuffers
std::stack<std::vector<double> > RooFit::TestStatistics::RooUnbinnedL::_vectorBuffers |
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◆ apply_weight_squared
bool RooFit::TestStatistics::RooUnbinnedL::apply_weight_squared = false |
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◆ cachedResult_
◆ evaluator_
◆ lastSection_
Section RooFit::TestStatistics::RooUnbinnedL::lastSection_ = {0, 0} |
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◆ paramTracker_
std::unique_ptr<RooChangeTracker> RooFit::TestStatistics::RooUnbinnedL::paramTracker_ |
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The documentation for this class was generated from the following files: