13#ifndef ROOT_ROOFIT_TESTSTATISTICS_RooUnbinnedL
14#define ROOT_ROOFIT_TESTSTATISTICS_RooUnbinnedL
44 std::string
GetClassName()
const override {
return "RooUnbinnedL"; }
The Kahan summation is a compensated summation algorithm, which significantly reduces numerical error...
Abstract base class for binned and unbinned datasets.
Abstract interface for all probability density functions.
RooArgSet is a container object that can hold multiple RooAbsArg objects.
Meta object that tracks value changes in a given set of RooAbsArgs by registering itself as value cli...
static EvalBackend Legacy()
Evaluates a RooAbsReal object in other ways than recursive graph traversal.
RooAbsL(std::shared_ptr< RooAbsPdf > pdf, std::shared_ptr< RooAbsData > data, std::size_t N_events, std::size_t N_components, Extended extended)
After handling cloning (or not) of the pdf and dataset, the public constructors call this private con...
ROOT::Math::KahanSum< double > cachedResult_
bool setApplyWeightSquared(bool flag)
Returns true if value was changed, false otherwise.
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 ...
std::unique_ptr< RooChangeTracker > paramTracker_
bool apply_weight_squared
Apply weights squared?
std::string GetClassName() const override
RooUnbinnedL(RooAbsPdf *pdf, RooAbsData *data, RooAbsL::Extended extended=RooAbsL::Extended::Auto, RooFit::EvalBackend evalBackend=RooFit::EvalBackend::Legacy())
std::stack< std::vector< double > > _vectorBuffers
std::shared_ptr< RooFit::Evaluator > evaluator_
! For batched evaluation
Namespace for new RooFit test statistic calculation.
The namespace RooFit contains mostly switches that change the behaviour of functions of PDFs (or othe...
A part of some range delimited by two fractional points between 0 and 1 (inclusive).