RooNLLVar.h

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/*****************************************************************************
 * Project: RooFit                                                           *
 * Package: RooFitCore                                                       *
 *    File: $Id: RooNLLVar.h,v 1.10 2007/07/21 21:32:52 wouter Exp $
 * Authors:                                                                  *
 *   WV, Wouter Verkerke, UC Santa Barbara, verkerke@slac.stanford.edu       *
 *   DK, David Kirkby,    UC Irvine,         dkirkby@uci.edu                 *
 *                                                                           *
 * Copyright (c) 2000-2005, Regents of the University of California          *
 *                          and Stanford University. All rights reserved.    *
 *                                                                           *
 * Redistribution and use in source and binary forms,                        *
 * with or without modification, are permitted according to the terms        *
 * listed in LICENSE (http://roofit.sourceforge.net/license.txt)             *
 *****************************************************************************/
#ifndef ROO_NLL_VAR
#define ROO_NLL_VAR
 
#include "RooAbsOptTestStatistic.h"
#include "RooCmdArg.h"
#include "RooAbsPdf.h"
#include <vector>
#include <utility>
 
class RooRealSumPdf ;
namespace RooBatchCompute {
struct RunContext;
}
 
class RooNLLVar : public RooAbsOptTestStatistic {
public:
 
  // Constructors, assignment etc
  RooNLLVar();
  RooNLLVar(const char *name, const char* title, RooAbsPdf& pdf, RooAbsData& data,
       const RooCmdArg& arg1=RooCmdArg::none(), const RooCmdArg& arg2=RooCmdArg::none(),const RooCmdArg& arg3=RooCmdArg::none(),
       const RooCmdArg& arg4=RooCmdArg::none(), const RooCmdArg& arg5=RooCmdArg::none(),const RooCmdArg& arg6=RooCmdArg::none(),
       const RooCmdArg& arg7=RooCmdArg::none(), const RooCmdArg& arg8=RooCmdArg::none(),const RooCmdArg& arg9=RooCmdArg::none()) ;
 
  RooNLLVar(const char *name, const char *title, RooAbsPdf& pdf, RooAbsData& data,
            bool extended,
            RooAbsTestStatistic::Configuration const& cfg=RooAbsTestStatistic::Configuration{});
  
  RooNLLVar(const char *name, const char *title, RooAbsPdf& pdf, RooAbsData& data,
            const RooArgSet& projDeps, bool extended = false,
            RooAbsTestStatistic::Configuration const& cfg=RooAbsTestStatistic::Configuration{});
 
  RooNLLVar(const RooNLLVar& other, const char* name=0);
  virtual TObject* clone(const char* newname) const { return new RooNLLVar(*this,newname); }
 
  virtual RooAbsTestStatistic* create(const char *name, const char *title, RooAbsReal& pdf, RooAbsData& adata,
                                      const RooArgSet& projDeps, RooAbsTestStatistic::Configuration const& cfg);
  
  virtual ~RooNLLVar();
 
  void applyWeightSquared(bool flag);
 
  Double_t defaultErrorLevel() const { return 0.5 ; }
 
  void batchMode(bool on = true) {
    _batchEvaluations = on;
  }
 
  using ComputeResult = std::pair<ROOT::Math::KahanSum<double>, double>;
 
  static RooNLLVar::ComputeResult computeBatchedFunc(const RooAbsPdf *pdfClone, RooAbsData *dataClone,
                                                     std::unique_ptr<RooBatchCompute::RunContext> &evalData,
                                                 RooArgSet *normSet, bool weightSq, std::size_t stepSize,
                                                 std::size_t firstEvent, std::size_t lastEvent);
  static RooNLLVar::ComputeResult computeScalarFunc(const RooAbsPdf *pdfClone, RooAbsData *dataClone, RooArgSet *normSet,
                                                bool weightSq, std::size_t stepSize, std::size_t firstEvent,
                                                std::size_t lastEvent);
 
protected:
 
  virtual Bool_t processEmptyDataSets() const { return _extended ; }
  virtual Double_t evaluatePartition(std::size_t firstEvent, std::size_t lastEvent, std::size_t stepSize) const;
 
  static RooArgSet _emptySet ; // Supports named argument constructor
 
private:
  ComputeResult computeBatched(std::size_t stepSize, std::size_t firstEvent, std::size_t lastEvent) const;
  ComputeResult computeScalar(std::size_t stepSize, std::size_t firstEvent, std::size_t lastEvent) const;
 
  Bool_t _extended{false};
  bool _batchEvaluations{false};
  Bool_t _weightSq{false}; // Apply weights squared?
  mutable Bool_t _first{true}; //!
  ROOT::Math::KahanSum<double> _offsetSaveW2{0.0}; //!
 
  mutable std::vector<Double_t> _binw ; //!
  mutable RooRealSumPdf* _binnedPdf{nullptr}; //!
  mutable std::unique_ptr<RooBatchCompute::RunContext> _evalData; //! Struct to store function evaluation workspaces.
   
  ClassDef(RooNLLVar,3) // Function representing (extended) -log(L) of p.d.f and dataset
};
 
#endif