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RooNLLVar.h
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1 /*****************************************************************************
2  * Project: RooFit *
3  * Package: RooFitCore *
4  * File: $Id: RooNLLVar.h,v 1.10 2007/07/21 21:32:52 wouter Exp $
5  * Authors: *
6  * WV, Wouter Verkerke, UC Santa Barbara, verkerke@slac.stanford.edu *
7  * DK, David Kirkby, UC Irvine, dkirkby@uci.edu *
8  * *
9  * Copyright (c) 2000-2005, Regents of the University of California *
10  * and Stanford University. All rights reserved. *
11  * *
12  * Redistribution and use in source and binary forms, *
13  * with or without modification, are permitted according to the terms *
14  * listed in LICENSE (http://roofit.sourceforge.net/license.txt) *
15  *****************************************************************************/
16 #ifndef ROO_NLL_VAR
17 #define ROO_NLL_VAR
18 
19 #include "RooAbsOptTestStatistic.h"
20 #include "RooCmdArg.h"
21 #include "RooAbsPdf.h"
22 #include <vector>
23 #include <utility>
24 
25 class RooRealSumPdf ;
26 namespace RooBatchCompute {
27 struct RunContext;
28 }
29 
31 public:
32 
33  // Constructors, assignment etc
34  RooNLLVar();
35  RooNLLVar(const char *name, const char* title, RooAbsPdf& pdf, RooAbsData& data,
36  const RooCmdArg& arg1=RooCmdArg::none(), const RooCmdArg& arg2=RooCmdArg::none(),const RooCmdArg& arg3=RooCmdArg::none(),
37  const RooCmdArg& arg4=RooCmdArg::none(), const RooCmdArg& arg5=RooCmdArg::none(),const RooCmdArg& arg6=RooCmdArg::none(),
38  const RooCmdArg& arg7=RooCmdArg::none(), const RooCmdArg& arg8=RooCmdArg::none(),const RooCmdArg& arg9=RooCmdArg::none()) ;
39 
40  RooNLLVar(const char *name, const char *title, RooAbsPdf& pdf, RooAbsData& data,
41  Bool_t extended, const char* rangeName=0, const char* addCoefRangeName=0,
43  Bool_t cloneData=kTRUE, Bool_t binnedL=kFALSE, double integrateBinsPrecision = -1.) ;
44 
45  RooNLLVar(const char *name, const char *title, RooAbsPdf& pdf, RooAbsData& data,
46  const RooArgSet& projDeps, Bool_t extended=kFALSE, const char* rangeName=0,
47  const char* addCoefRangeName=0, Int_t nCPU=1, RooFit::MPSplit interleave=RooFit::BulkPartition, Bool_t verbose=kTRUE, Bool_t splitRange=kFALSE,
48  Bool_t cloneData=kTRUE, Bool_t binnedL=kFALSE, double integrateBinsPrecision = -1.) ;
49 
50  RooNLLVar(const RooNLLVar& other, const char* name=0);
51  virtual TObject* clone(const char* newname) const { return new RooNLLVar(*this,newname); }
52 
53  virtual RooAbsTestStatistic* create(const char *name, const char *title, RooAbsReal& pdf, RooAbsData& adata,
54  const RooArgSet& projDeps, const char* rangeName, const char* addCoefRangeName=0,
55  Int_t nCPU=1, RooFit::MPSplit interleave=RooFit::BulkPartition, Bool_t verbose=kTRUE, Bool_t splitRange=kFALSE, Bool_t binnedL=kFALSE);
56 
57  virtual ~RooNLLVar();
58 
59  void applyWeightSquared(Bool_t flag) ;
60 
61  virtual Double_t defaultErrorLevel() const { return 0.5 ; }
62 
63  void batchMode(bool on = true) {
64  _batchEvaluations = on;
65  }
66 
67 protected:
68 
69  virtual Bool_t processEmptyDataSets() const { return _extended ; }
70  virtual Double_t evaluatePartition(std::size_t firstEvent, std::size_t lastEvent, std::size_t stepSize) const;
71 
72  static RooArgSet _emptySet ; // Supports named argument constructor
73 
74 private:
75  std::tuple<double, double, double> computeBatched(
76  std::size_t stepSize, std::size_t firstEvent, std::size_t lastEvent) const;
77 
78  std::tuple<double, double, double> computeScalar(
79  std::size_t stepSize, std::size_t firstEvent, std::size_t lastEvent) const;
80 
81  Bool_t _extended{false};
82  bool _batchEvaluations{false};
83  Bool_t _weightSq{false}; // Apply weights squared?
84  mutable Bool_t _first{true}; //!
85  Double_t _offsetSaveW2{false}; //!
87 
88  mutable std::vector<Double_t> _binw ; //!
89  mutable RooRealSumPdf* _binnedPdf{nullptr}; //!
90  mutable std::unique_ptr<RooBatchCompute::RunContext> _evalData; //! Struct to store function evaluation workspaces.
91 
92  ClassDef(RooNLLVar,3) // Function representing (extended) -log(L) of p.d.f and dataset
93 };
94 
95 #endif
96 
RooCmdArg
RooCmdArg is a named container for two doubles, two integers two object points and three string point...
Definition: RooCmdArg.h:27
kTRUE
const Bool_t kTRUE
Definition: RtypesCore.h:91
RooNLLVar::evaluatePartition
virtual Double_t evaluatePartition(std::size_t firstEvent, std::size_t lastEvent, std::size_t stepSize) const
Calculate and return likelihood on subset of data.
Definition: RooNLLVar.cxx:279
RooNLLVar::_offsetSaveW2
Double_t _offsetSaveW2
Definition: RooNLLVar.h:85
RooAbsData
RooAbsData is the common abstract base class for binned and unbinned datasets.
Definition: RooAbsData.h:49
RooNLLVar::_binnedPdf
RooRealSumPdf * _binnedPdf
Definition: RooNLLVar.h:89
RooNLLVar::defaultErrorLevel
virtual Double_t defaultErrorLevel() const
Definition: RooNLLVar.h:61
RooNLLVar::batchMode
void batchMode(bool on=true)
Definition: RooNLLVar.h:63
RooAbsOptTestStatistic.h
RooFit::MPSplit
MPSplit
Definition: RooGlobalFunc.h:70
RooAbsReal
RooAbsReal is the common abstract base class for objects that represent a real value and implements f...
Definition: RooAbsReal.h:61
RooNLLVar::create
virtual RooAbsTestStatistic * create(const char *name, const char *title, RooAbsReal &pdf, RooAbsData &adata, const RooArgSet &projDeps, const char *rangeName, const char *addCoefRangeName=0, Int_t nCPU=1, RooFit::MPSplit interleave=RooFit::BulkPartition, Bool_t verbose=kTRUE, Bool_t splitRange=kFALSE, Bool_t binnedL=kFALSE)
Create a test statistic using several properties of the current instance.
Definition: RooNLLVar.cxx:224
RooNLLVar::computeBatched
std::tuple< double, double, double > computeBatched(std::size_t stepSize, std::size_t firstEvent, std::size_t lastEvent) const
Compute probabilites of all data events.
Definition: RooNLLVar.cxx:474
RooNLLVar::computeScalar
std::tuple< double, double, double > computeScalar(std::size_t stepSize, std::size_t firstEvent, std::size_t lastEvent) const
Definition: RooNLLVar.cxx:583
RooAbsOptTestStatistic::data
RooAbsData & data()
Definition: RooAbsOptTestStatistic.cxx:774
RooCmdArg::none
static const RooCmdArg & none()
Return reference to null argument.
Definition: RooCmdArg.cxx:52
RooNLLVar::_extended
Bool_t _extended
Definition: RooNLLVar.h:81
bool
RooNLLVar::_evalData
std::unique_ptr< RooBatchCompute::RunContext > _evalData
Definition: RooNLLVar.h:90
RooAbsTestStatistic
RooAbsTestStatistic is the abstract base class for all test statistics.
Definition: RooAbsTestStatistic.h:37
RooNLLVar::clone
virtual TObject * clone(const char *newname) const
Definition: RooNLLVar.h:51
RooAbsPdf.h
RooNLLVar::processEmptyDataSets
virtual Bool_t processEmptyDataSets() const
Definition: RooNLLVar.h:69
kFALSE
const Bool_t kFALSE
Definition: RtypesCore.h:92
RooNLLVar::RooNLLVar
RooNLLVar()
Definition: RooNLLVar.cxx:58
RooNLLVar
Class RooNLLVar implements a -log(likelihood) calculation from a dataset and a PDF.
Definition: RooNLLVar.h:30
RooNLLVar::_binw
std::vector< Double_t > _binw
Definition: RooNLLVar.h:88
RooNLLVar::_batchEvaluations
bool _batchEvaluations
Definition: RooNLLVar.h:82
RooFit::BulkPartition
@ BulkPartition
Definition: RooGlobalFunc.h:70
RooNLLVar::_first
Bool_t _first
Definition: RooNLLVar.h:84
RooCmdArg.h
RooNLLVar::_offsetCarrySaveW2
Double_t _offsetCarrySaveW2
Definition: RooNLLVar.h:86
Double_t
double Double_t
Definition: RtypesCore.h:59
RooNLLVar::applyWeightSquared
void applyWeightSquared(Bool_t flag)
Definition: RooNLLVar.cxx:250
RooAbsOptTestStatistic
RooAbsOptTestStatistic is the abstract base class for test statistics objects that evaluate a functio...
Definition: RooAbsOptTestStatistic.h:28
TObject
Mother of all ROOT objects.
Definition: TObject.h:37
ClassDef
#define ClassDef(name, id)
Definition: Rtypes.h:325
name
char name[80]
Definition: TGX11.cxx:110
RooBatchCompute
VDT headers for RooFit.
Definition: BracketAdapter.h:24
genreflex::verbose
bool verbose
Definition: rootcling_impl.cxx:133
RooNLLVar::_weightSq
Bool_t _weightSq
Definition: RooNLLVar.h:83
RooAbsPdf
Definition: RooAbsPdf.h:43
RooNLLVar::_emptySet
static RooArgSet _emptySet
Definition: RooNLLVar.h:72
RooRealSumPdf
The class RooRealSumPdf implements a PDF constructed from a sum of functions:
Definition: RooRealSumPdf.h:25
RooArgSet
RooArgSet is a container object that can hold multiple RooAbsArg objects.
Definition: RooArgSet.h:29
int
RooNLLVar::~RooNLLVar
virtual ~RooNLLVar()
Destructor.
Definition: RooNLLVar.cxx:241