Namespace for new RooFit test statistic calculation. More...
Classes  
class  ConstantTermsOptimizer 
Analyzes a function given a dataset/observables for constant terms and caches those in the dataset. More...  
class  LikelihoodGradientJob 
class  LikelihoodGradientWrapper 
Virtual base class for implementation of likelihood gradient calculation strategies. More...  
class  LikelihoodJob 
class  LikelihoodSerial 
Serial likelihood calculation strategy implementation. More...  
class  LikelihoodWrapper 
Virtual base class for implementation of likelihood calculation strategies. More...  
class  MinuitFcnGrad 
MinuitRooMinimizer interface which synchronizes parameter data and coordinates evaluation of likelihood (gradient) values. More...  
class  NLLFactory 
class  RooAbsL 
class  RooBinnedL 
class  RooRealL 
RooAbsReal that wraps RooAbsL likelihoods for use in RooFit outside of the RooMinimizer context. More...  
class  RooSubsidiaryL 
class  RooSumL 
Likelihood class that sums over multiple log components. More...  
class  RooUnbinnedL 
struct  WrapperCalculationCleanFlags 
For communication with wrappers, an instance of this struct must be shared between them and MinuitFcnGrad. More...  
Enumerations  
enum class  LikelihoodGradientMode { multiprocess } 
enum class  LikelihoodMode { serial , multiprocess } 
enum class  LikelihoodType { unbinned , binned , subsidiary , sum } 
enum class  OffsettingMode { legacy , full } 
Previously, offsetting was only implemented for RooNLLVar components of a likelihood, not for RooConstraintSum terms. More...  
Functions  
std::unique_ptr< RooAbsL >  buildLikelihood (RooAbsPdf *pdf, RooAbsData *data) 
Delegating function to build a likelihood without additional arguments.  
std::ostream &  operator<< (std::ostream &out, const LikelihoodJob::update_state_mode value) 
Namespace for new RooFit test statistic calculation.
RooFit::TestStatistics contains a major refactoring of the RooAbsTestStatisticRooAbsOptTestStatisticRooNLLVar inheritance tree into:
The likelihood is the central unit on the statistics side. The RooAbsL class is implemented for four kinds of likelihoods: binned, unbinned, "subsidiary" (an optimization for numerical stability that gathers components like global observables) and "sum" (over multiple components of the other types). These classes provide ways to compute their components in parallelizable chunks that can be used by the calculator classes as they see fit.
On top of the likelihood classes, we also provide for convenience a likelihood builder buildLikelihood, as a free function in the namespace. This function analyzes the pdf and automatically constructs the proper likelihood, built up from the available RooAbsL subclasses.
The calculator "Wrapper" classes are abstract interfaces. These can be implemented for different kinds of algorithms, or with different kinds of optimization "backends" in mind. In an upcoming PR, we will introduce the forkbased multiprocessing implementation based on RooFit::MultiProcess. Other possible implementations could use the GPU or external tools like TensorFlow.
The coupling of all these classes to RooMinimizer is made via the MinuitFcnGrad class, which owns the Wrappers that calculate the likelihood components.

strong 
Enumerator  

multiprocess 
Definition at line 33 of file LikelihoodGradientWrapper.h.

strong 
Enumerator  

serial  
multiprocess 
Definition at line 51 of file LikelihoodWrapper.h.

strong 
Enumerator  

unbinned  
binned  
subsidiary  
sum 
Definition at line 49 of file LikelihoodWrapper.h.

strong 
Previously, offsetting was only implemented for RooNLLVar components of a likelihood, not for RooConstraintSum terms.
To emulate this behavior, use OffsettingMode::legacy. To also offset the RooSubsidiaryL component (equivalent of RooConstraintSum) of RooSumL likelihoods, use OffsettingMode::full.
Enumerator  

legacy  
full 
Definition at line 57 of file LikelihoodWrapper.h.

inline 
Delegating function to build a likelihood without additional arguments.
Definition at line 55 of file buildLikelihood.h.
std::ostream & RooFit::TestStatistics::operator<<  (  std::ostream &  out, 
const LikelihoodJob::update_state_mode  value  
) 
Definition at line 289 of file LikelihoodJob.cxx.