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1// @(#)root/tmva/rmva $Id$
2// Author: Omar Zapata,Lorenzo Moneta, Sergei Gleyzer 2015
5 * Project: TMVA - a Root-integrated toolkit for multivariate data analysis *
6 * Package: TMVA *
7 * Class : RMethodC50 *
8 * *
9 * Description: *
10 * R´s Package C50 method based on ROOTR *
11 * *
12 **********************************************************************************/
14#ifndef ROOT_TMVA_RMethodC50
15#define ROOT_TMVA_RMethodC50
18// //
19// RMethodC50 //
20// //
21// //
24#include "TMVA/RMethodBase.h"
25#include <vector>
27namespace TMVA {
29 class Factory; // DSMTEST
30 class Reader; // DSMTEST
31 class DataSetManager; // DSMTEST
32 class Types;
33 class MethodC50 : public RMethodBase {
35 public :
37 // constructors
38 MethodC50(const TString &jobName,
39 const TString &methodTitle,
40 DataSetInfo &theData,
41 const TString &theOption = "");
44 const TString &theWeightFile);
47 ~MethodC50(void);
48 void Train();
49 // options treatment
50 void Init();
51 void DeclareOptions();
52 void ProcessOptions();
53 // create ranking
55 {
56 return NULL; // = 0;
57 }
60 Bool_t HasAnalysisType(Types::EAnalysisType type, UInt_t numberClasses, UInt_t numberTargets);
62 // performs classifier testing
63 virtual void TestClassification();
66 Double_t GetMvaValue(Double_t *errLower = 0, Double_t *errUpper = 0);
67 virtual void MakeClass(const TString &classFileName = TString("")) const; //required for model persistence
69 // the actual "weights"
70 virtual void AddWeightsXMLTo(void * /*parent*/) const {} // = 0;
71 virtual void ReadWeightsFromXML(void * /*weight*/) {} // = 0;
72 virtual void ReadWeightsFromStream(std::istream &) {} //= 0; // backward compatibility
74 // signal/background classification response for all current set of data
75 virtual std::vector<Double_t> GetMvaValues(Long64_t firstEvt = 0, Long64_t lastEvt = -1, Bool_t logProgress = false);
77 void ReadModelFromFile();
78 private :
80 friend class Factory; // DSMTEST
81 friend class Reader; // DSMTEST
82 protected:
83 //C5.0 function options
84 UInt_t fNTrials;//number of trials with boost enabled
85 Bool_t fRules;//A logical: should the tree be decomposed into a rule-based model?
87 //Control options see C5.0Control
88 Bool_t fControlSubset; //A logical: should the model evaluate groups of discrete predictors for splits?
90 Bool_t fControlWinnow;// A logical: should predictor winnowing (i.e feature selection) be used?
91 Bool_t fControlNoGlobalPruning; //A logical to toggle whether the final, global pruning step to simplify the tree.
92 Double_t fControlCF; //A number in (0, 1) for the confidence factor.
93 UInt_t fControlMinCases;//an integer for the smallest number of samples that must be put in at least two of the splits.
94 Bool_t fControlFuzzyThreshold;//A logical toggle to evaluate possible advanced splits of the data. See Quinlan (1993) for details and examples.
95 Double_t fControlSample;//A value between (0, .999) that specifies the random proportion of the data should be used to train the model.
96 Int_t fControlSeed;//An integer for the random number seed within the C code.
97 Bool_t fControlEarlyStopping;// logical to toggle whether the internal method for stopping boosting should be used.
108 std::vector <TString > ListOfVariables;
111 // get help message text
112 void GetHelpMessage() const;
115 };
116} // namespace TMVA
bool Bool_t
Definition: RtypesCore.h:63
unsigned int UInt_t
Definition: RtypesCore.h:46
double Double_t
Definition: RtypesCore.h:59
long long Long64_t
Definition: RtypesCore.h:80
#define ClassDef(name, id)
Definition: Rtypes.h:335
Option_t Option_t TPoint TPoint const char GetTextMagnitude GetFillStyle GetLineColor GetLineWidth GetMarkerStyle GetTextAlign GetTextColor GetTextSize void char Point_t Rectangle_t WindowAttributes_t Float_t Float_t Float_t Int_t Int_t UInt_t UInt_t Rectangle_t Int_t Int_t Window_t TString Int_t GCValues_t GetPrimarySelectionOwner GetDisplay GetScreen GetColormap GetNativeEvent const char const char dpyName wid window const char font_name cursor keysym reg const char only_if_exist regb h Point_t winding char text const char depth char const char Int_t count const char ColorStruct_t color const char Pixmap_t Pixmap_t PictureAttributes_t attr const char char ret_data h unsigned char height h Atom_t Int_t ULong_t ULong_t unsigned char prop_list Atom_t Atom_t Atom_t Time_t type
This is a class to pass functions from ROOT to R.
This is a class to get ROOT's objects from R's objects.
Definition: TRObject.h:70
Class that contains all the data information.
Definition: DataSetInfo.h:62
Class that contains all the data information.
This is the main MVA steering class.
Definition: Factory.h:80
virtual void ReadWeightsFromStream(std::istream &)=0
void GetHelpMessage() const
Definition: MethodC50.cxx:304
static Bool_t IsModuleLoaded
Definition: MethodC50.h:100
DataSetManager * fDataSetManager
Definition: MethodC50.h:79
virtual void TestClassification()
Definition: MethodC50.cxx:217
Bool_t fControlSubset
Definition: MethodC50.h:88
ROOT::R::TRFunctionImport asfactor
Definition: MethodC50.h:105
ROOT::R::TRObject * fModel
Definition: MethodC50.h:106
Double_t GetMvaValue(Double_t *errLower=0, Double_t *errUpper=0)
Definition: MethodC50.cxx:225
virtual void ReadWeightsFromXML(void *)
Definition: MethodC50.h:71
void DeclareOptions()
Definition: MethodC50.cxx:156
Double_t fControlCF
Definition: MethodC50.h:92
Bool_t HasAnalysisType(Types::EAnalysisType type, UInt_t numberClasses, UInt_t numberTargets)
Definition: MethodC50.cxx:115
const Ranking * CreateRanking()
Definition: MethodC50.h:54
Int_t fControlSeed
Definition: MethodC50.h:96
virtual void MakeClass(const TString &classFileName=TString("")) const
create reader class for method (classification only at present)
Definition: MethodC50.cxx:339
Bool_t fControlNoGlobalPruning
Definition: MethodC50.h:91
Bool_t fControlFuzzyThreshold
Definition: MethodC50.h:94
Double_t fControlSample
Definition: MethodC50.h:95
Bool_t fRules
Definition: MethodC50.h:85
UInt_t fNTrials
Definition: MethodC50.h:84
std::vector< TString > ListOfVariables
Definition: MethodC50.h:108
Bool_t fControlEarlyStopping
Definition: MethodC50.h:97
ROOT::R::TRFunctionImport C50Control
Definition: MethodC50.h:104
virtual std::vector< Double_t > GetMvaValues(Long64_t firstEvt=0, Long64_t lastEvt=-1, Bool_t logProgress=false)
get all the MVA values for the events of the current Data type
Definition: MethodC50.cxx:246
void ProcessOptions()
Definition: MethodC50.cxx:196
ROOT::R::TRObject fModelControl
Definition: MethodC50.h:107
UInt_t fMvaCounter
Definition: MethodC50.h:99
ROOT::R::TRFunctionImport predict
Definition: MethodC50.h:102
Bool_t fControlWinnow
Definition: MethodC50.h:90
ROOT::R::TRFunctionImport C50
Definition: MethodC50.h:103
MethodC50(const TString &jobName, const TString &methodTitle, DataSetInfo &theData, const TString &theOption="")
Definition: MethodC50.cxx:50
virtual void ReadWeightsFromStream(std::istream &)
Definition: MethodC50.h:72
UInt_t fControlMinCases
Definition: MethodC50.h:93
void ReadModelFromFile()
Definition: MethodC50.cxx:324
UInt_t fControlBands
Definition: MethodC50.h:89
virtual void AddWeightsXMLTo(void *) const
Definition: MethodC50.h:70
Ranking for variables in method (implementation)
Definition: Ranking.h:48
The Reader class serves to use the MVAs in a specific analysis context.
Definition: Reader.h:64
Definition: Types.h:126
Basic string class.
Definition: TString.h:136
create variable transformations