Tracking data from training.

Eg, From deep learning record loss for each Epoch

Definition at line 33 of file TrainingHistory.h.

Public Types
typedef std::vector< std::pair< Int_t, Double_t > >	IterationRecord

Public Member Functions
	TrainingHistory ()
	constructor More...

virtual	~TrainingHistory ()

void	AddValue (TString Property, Int_t stage, Double_t value)

void	SaveHistory (TString Name)

Private Attributes
std::vector< IterationRecord * >	fHistoryData

std::map< TString, int >	fHistoryMap

#include <TMVA/TrainingHistory.h>

Member Typedef Documentation

◆ IterationRecord

typedef std::vector<std::pair<Int_t,Double_t> > TMVA::TrainingHistory::IterationRecord

Definition at line 36 of file TrainingHistory.h.

Constructor & Destructor Documentation

◆ TrainingHistory()

TMVA::TrainingHistory::TrainingHistory ( )

constructor

Definition at line 34 of file TrainingHistory.cxx.

◆ ~TrainingHistory()

TMVA::TrainingHistory::~TrainingHistory ( )

virtual

Definition at line 38 of file TrainingHistory.cxx.

Member Function Documentation

◆ AddValue()

void TMVA::TrainingHistory::AddValue	(	TString	Property,
		Int_t	stage,
		Double_t	value
	)

Definition at line 45 of file TrainingHistory.cxx.

◆ SaveHistory()

void TMVA::TrainingHistory::SaveHistory ( TString Name )

Definition at line 58 of file TrainingHistory.cxx.

Member Data Documentation

◆ fHistoryData

std::vector<IterationRecord*> TMVA::TrainingHistory::fHistoryData

private

Definition at line 44 of file TrainingHistory.h.

◆ fHistoryMap

std::map<TString,int> TMVA::TrainingHistory::fHistoryMap

private

Definition at line 43 of file TrainingHistory.h.

Libraries for TMVA::TrainingHistory:

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Public Types

Public Member Functions

Private Attributes