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SVWorkingSet.h
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1// @(#)root/tmva $Id$
2// Author: Andrzej Zemla
3
4/**********************************************************************************
5 * Project: TMVA - a Root-integrated toolkit for multivariate data analysis *
6 * Package: TMVA *
7 * Class : SVWorkingSet *
8 * Web : http://tmva.sourceforge.net *
9 * *
10 * Description: *
11 * Working class for Support Vector Machine *
12 * *
13 * Authors (alphabetical): *
14 * Marcin Wolter <Marcin.Wolter@cern.ch> - IFJ PAN, Krakow, Poland *
15 * Andrzej Zemla <azemla@cern.ch> - IFJ PAN, Krakow, Poland *
16 * (IFJ PAN: Henryk Niewodniczanski Inst. Nucl. Physics, Krakow, Poland) *
17 * *
18 * Copyright (c) 2005: *
19 * CERN, Switzerland *
20 * MPI-K Heidelberg, Germany *
21 * PAN, Krakow, Poland *
22 * *
23 * Redistribution and use in source and binary forms, with or without *
24 * modification, are permitted according to the terms listed in LICENSE *
25 * (http://tmva.sourceforge.net/LICENSE) *
26 **********************************************************************************/
27
28#ifndef ROOT_TMVA_SVWorkingSet
29#define ROOT_TMVA_SVWorkingSet
30
31#include <vector>
32
33#include "Rtypes.h"
34
35namespace TMVA {
36
37 class SVEvent;
38 class SVKernelMatrix;
39 class SVKernelFunction;
40 class MsgLogger;
41
43
44 public:
45
47 SVWorkingSet( std::vector<TMVA::SVEvent*>*, SVKernelFunction*, Float_t , Bool_t);
49
53 void Train(UInt_t nIter=1000);
54 void PrintStat();
55 std::vector<TMVA::SVEvent*>* GetSupportVectors();
56 Float_t GetBpar() {return 0.5*(fB_low + fB_up);}
57
58 //for regression
62 void TrainReg();
63
64 //setting up helper variables for JsMVA
65 void SetIPythonInteractive(bool* ExitFromTraining, UInt_t *fIPyCurrentIter_){
66 fExitFromTraining = ExitFromTraining;
67 fIPyCurrentIter = fIPyCurrentIter_;
68 }
69
70
71 private:
72
73 Bool_t fdoRegression; //TODO temporary, find nicer solution
74 std::vector<TMVA::SVEvent*> *fInputData; // input events
75 std::vector<TMVA::SVEvent*> *fSupVec; // output events - support vectors
76 SVKernelFunction *fKFunction; // kernel function
77 SVKernelMatrix *fKMatrix; // kernel matrix
78
79 SVEvent *fTEventUp; // last optimized event
80 SVEvent *fTEventLow; // last optimized event
81
82 Float_t fB_low; // documentation
83 Float_t fB_up; // documentation
84 Float_t fTolerance; // documentation
85
86 mutable MsgLogger* fLogger; //! message logger
87
88 // variables for JsMVA
90 bool * fExitFromTraining = nullptr;
91
92 void SetIndex( TMVA::SVEvent* );
93 };
94}
95
96#endif //ROOT_TMVA_SVWorkingSet
unsigned int UInt_t
Definition: RtypesCore.h:42
bool Bool_t
Definition: RtypesCore.h:59
float Float_t
Definition: RtypesCore.h:53
ostringstream derivative to redirect and format output
Definition: MsgLogger.h:59
Event class for Support Vector Machine.
Definition: SVEvent.h:40
Kernel for Support Vector Machine.
Kernel matrix for Support Vector Machine.
Working class for Support Vector Machine.
Definition: SVWorkingSet.h:42
SVEvent * fTEventUp
Definition: SVWorkingSet.h:79
Bool_t TakeStep(SVEvent *, SVEvent *)
std::vector< TMVA::SVEvent * > * fSupVec
Definition: SVWorkingSet.h:75
void Train(UInt_t nIter=1000)
train the SVM
bool * fExitFromTraining
Definition: SVWorkingSet.h:90
Bool_t IsDiffSignificant(Float_t, Float_t, Float_t)
Bool_t ExamineExample(SVEvent *)
Bool_t ExamineExampleReg(SVEvent *)
Bool_t TakeStepReg(SVEvent *, SVEvent *)
SVEvent * fTEventLow
Definition: SVWorkingSet.h:80
void SetIndex(TMVA::SVEvent *)
~SVWorkingSet()
destructor
UInt_t * fIPyCurrentIter
message logger
Definition: SVWorkingSet.h:89
SVWorkingSet()
constructor
std::vector< TMVA::SVEvent * > * fInputData
Definition: SVWorkingSet.h:74
void SetIPythonInteractive(bool *ExitFromTraining, UInt_t *fIPyCurrentIter_)
Definition: SVWorkingSet.h:65
MsgLogger * fLogger
Definition: SVWorkingSet.h:86
SVKernelFunction * fKFunction
Definition: SVWorkingSet.h:76
SVKernelMatrix * fKMatrix
Definition: SVWorkingSet.h:77
std::vector< TMVA::SVEvent * > * GetSupportVectors()
Abstract ClassifierFactory template that handles arbitrary types.