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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
20#include "RooCmdArg.h"
21#include "RooAbsPdf.h"
22#include <vector>
23#include <utility>
24
25class RooRealSumPdf ;
26namespace RooBatchCompute {
27struct RunContext;
28}
29
31public:
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 extended,
43
44 RooNLLVar(const char *name, const char *title, RooAbsPdf& pdf, RooAbsData& data,
45 const RooArgSet& projDeps, bool extended = false,
47
48 RooNLLVar(const RooNLLVar& other, const char* name=nullptr);
49 TObject* clone(const char* newname) const override { return new RooNLLVar(*this,newname); }
50
51 RooAbsTestStatistic* create(const char *name, const char *title, RooAbsReal& pdf, RooAbsData& adata,
52 const RooArgSet& projDeps, RooAbsTestStatistic::Configuration const& cfg) override;
53
54 ~RooNLLVar() override;
55
56 void applyWeightSquared(bool flag) override;
57
58 double defaultErrorLevel() const override { return 0.5 ; }
59
60 void batchMode(bool on = true) {
62 }
63
64 void enableBinOffsetting(bool on = true) {
66 }
67
68 using ComputeResult = std::pair<ROOT::Math::KahanSum<double>, double>;
69
70 static RooNLLVar::ComputeResult computeBatchedFunc(const RooAbsPdf *pdfClone, RooAbsData *dataClone,
71 std::unique_ptr<RooBatchCompute::RunContext> &evalData,
72 RooArgSet *normSet, bool weightSq, std::size_t stepSize,
73 std::size_t firstEvent, std::size_t lastEvent);
74 static RooNLLVar::ComputeResult computeScalarFunc(const RooAbsPdf *pdfClone, RooAbsData *dataClone, RooArgSet *normSet,
75 bool weightSq, std::size_t stepSize, std::size_t firstEvent,
76 std::size_t lastEvent, bool doBinOffset=false);
77
78protected:
79
80 bool processEmptyDataSets() const override { return _extended ; }
81 double evaluatePartition(std::size_t firstEvent, std::size_t lastEvent, std::size_t stepSize) const override;
82
83 static RooArgSet _emptySet ; // Supports named argument constructor
84
85private:
86 ComputeResult computeBatched(std::size_t stepSize, std::size_t firstEvent, std::size_t lastEvent) const;
87 ComputeResult computeScalar(std::size_t stepSize, std::size_t firstEvent, std::size_t lastEvent) const;
88
89 bool _extended{false};
90 bool _batchEvaluations{false};
91 bool _doBinOffset{false};
92 bool _weightSq{false}; ///< Apply weights squared?
93 mutable bool _first{true}; ///<!
95
96 mutable std::vector<double> _binw ; ///<!
97 mutable RooRealSumPdf* _binnedPdf{nullptr}; ///<!
98 mutable std::unique_ptr<RooBatchCompute::RunContext> _evalData; ///<! Struct to store function evaluation workspaces.
99
100 ClassDefOverride(RooNLLVar,0) // Function representing (extended) -log(L) of p.d.f and dataset
101};
102
103#endif
104
#define ClassDefOverride(name, id)
Definition Rtypes.h:341
Option_t Option_t TPoint TPoint const char GetTextMagnitude GetFillStyle GetLineColor GetLineWidth GetMarkerStyle GetTextAlign GetTextColor GetTextSize void on
char name[80]
Definition TGX11.cxx:110
The Kahan summation is a compensated summation algorithm, which significantly reduces numerical error...
Definition Util.h:122
RooAbsData is the common abstract base class for binned and unbinned datasets.
Definition RooAbsData.h:59
RooAbsOptTestStatistic is the abstract base class for test statistics objects that evaluate a functio...
RooAbsReal is the common abstract base class for objects that represent a real value and implements f...
Definition RooAbsReal.h:62
RooAbsTestStatistic is the abstract base class for all test statistics.
RooArgSet is a container object that can hold multiple RooAbsArg objects.
Definition RooArgSet.h:55
RooCmdArg is a named container for two doubles, two integers two object points and three string point...
Definition RooCmdArg.h:26
static const RooCmdArg & none()
Return reference to null argument.
Definition RooCmdArg.cxx:51
Class RooNLLVar implements a -log(likelihood) calculation from a dataset and a PDF.
Definition RooNLLVar.h:30
ComputeResult computeScalar(std::size_t stepSize, std::size_t firstEvent, std::size_t lastEvent) const
bool processEmptyDataSets() const override
Definition RooNLLVar.h:80
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, bool doBinOffset=false)
RooRealSumPdf * _binnedPdf
!
Definition RooNLLVar.h:97
bool _doBinOffset
Definition RooNLLVar.h:91
ROOT::Math::KahanSum< double > _offsetSaveW2
!
Definition RooNLLVar.h:94
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)
bool _batchEvaluations
Definition RooNLLVar.h:90
static RooArgSet _emptySet
Definition RooNLLVar.h:83
void batchMode(bool on=true)
Definition RooNLLVar.h:60
void applyWeightSquared(bool flag) override
Disables or enables the usage of squared weights.
std::vector< double > _binw
!
Definition RooNLLVar.h:96
std::pair< ROOT::Math::KahanSum< double >, double > ComputeResult
Definition RooNLLVar.h:68
bool _extended
Definition RooNLLVar.h:89
TObject * clone(const char *newname) const override
Definition RooNLLVar.h:49
RooAbsTestStatistic * create(const char *name, const char *title, RooAbsReal &pdf, RooAbsData &adata, const RooArgSet &projDeps, RooAbsTestStatistic::Configuration const &cfg) override
Create a test statistic using several properties of the current instance.
void enableBinOffsetting(bool on=true)
Definition RooNLLVar.h:64
double defaultErrorLevel() const override
Definition RooNLLVar.h:58
~RooNLLVar() override
Definition RooNLLVar.cxx:74
bool _first
!
Definition RooNLLVar.h:93
std::unique_ptr< RooBatchCompute::RunContext > _evalData
! Struct to store function evaluation workspaces.
Definition RooNLLVar.h:98
ComputeResult computeBatched(std::size_t stepSize, std::size_t firstEvent, std::size_t lastEvent) const
Compute probabilites of all data events.
bool _weightSq
Apply weights squared?
Definition RooNLLVar.h:92
double evaluatePartition(std::size_t firstEvent, std::size_t lastEvent, std::size_t stepSize) const override
Calculate and return likelihood on subset of data.
The class RooRealSumPdf implements a PDF constructed from a sum of functions:
Mother of all ROOT objects.
Definition TObject.h:41
Namespace for dispatching RooFit computations to various backends.