The TrainingIterationArgs is sent to the Solver::OnTrainingIteration event that fires at the end of a training cycle. More...

Inheritance diagram for MyCaffe.common.TrainingIterationArgs< T >:

Public Member Functions
	TrainingIterationArgs (int nIteration, double dfAccuracy, double dfLoss, double dfSmoothedLoss, double dfBestSmoothedLoss, bool bWeightsUpdated, string strActiveLabelCounts, string strLabelQueryHitPercents, string strLabelQueryEpochs, string strBoostQueryHitPercents, double dfLearningRate, double dfMsTiming, DebugInformation< T > dbgInfo=null)
	The TrainingIterationArgs constructor. More...

Public Member Functions inherited from MyCaffe.common.TestingIterationArgs< T >
	TestingIterationArgs (int nIteration, double dfAccuracy, double dfMsTiming)
	The TestingIterationArgs constructor. More...

Properties
double	Loss `[get]`
	Returns the loss of the training cycle. More...

double	SmoothedLoss `[get]`
	Retunrs the average loss after the training cycle. More...

double	BestSmoothedLoss `[get]`
	Returns the best smoothed loss observed during the training. More...

bool	WeightsUpdated `[get]`
	Returns whether or not the weights have been updated. More...

string	ActiveLabelCounts `[get]`
	Returns the current active label counts as a string. More...

string	LabelQueryHitPercents `[get]`
	Returns the current label query hit percentages observed at this point in training. More...

string	LabelQueryEpochs `[get]`
	Returns the current label epochs per label observed at this point in training. More...

string	BoostQueryHitPercents `[get]`
	Returns the current boost query hit percentages observed at this point in training. More...

double	LearningRate `[get]`
	Return the current learning rate. More...

DebugInformation< T >	DebugInformation `[get]`
	Returns the DebugInformation (if any). The DebugInformation is set to null when Solver::EnableBlobDebugging == false. More...

Properties inherited from MyCaffe.common.TestingIterationArgs< T >
double	Accuracy `[get]`
	Return the accuracy of the test cycle. More...

int	Iteration `[get]`
	Return the iteration of the test cycle. More...

double	Timing `[get]`
	Return the timing of the test cycle in ms. More...

Detailed Description

The TrainingIterationArgs is sent to the Solver::OnTrainingIteration event that fires at the end of a training cycle.

Template Parameters

T	Specifies the base type float or double. Using float is recommended to conserve GPU memory.

Definition at line 263 of file EventArgs.cs.

Constructor & Destructor Documentation

◆ TrainingIterationArgs()

MyCaffe.common.TrainingIterationArgs< T >.TrainingIterationArgs	(	int	nIteration,
		double	dfAccuracy,
		double	dfLoss,
		double	dfSmoothedLoss,
		double	dfBestSmoothedLoss,
		bool	bWeightsUpdated,
		string	strActiveLabelCounts,
		string	strLabelQueryHitPercents,
		string	strLabelQueryEpochs,
		string	strBoostQueryHitPercents,
		double	dfLearningRate,
		double	dfMsTiming,
		DebugInformation< T >	dbgInfo = `null`
	)

The TrainingIterationArgs constructor.

Parameters

nIteration	Specifies the iteration of the training cycle.
dfAccuracy	Specifies the last accuracy recieved during the training cycle's last testing cycle.
dfLoss	Specifies the loss of the training cycle.
dfSmoothedLoss	Specifies the averaged loss of the training cycle.
dfBestSmoothedLoss	Specifies the best smoothed loss observed so far during the training.
bWeightsUpdated	Specifies whether or not the weights have been updated.
strActiveLabelCounts	Specifies the current active label counts observed.
strLabelQueryHitPercents	Specifies the current label query hit percentages observed.
strLabelQueryEpochs	Specifies the current label epoch count per label observed.
strBoostQueryHitPercents	Specifies the current boost query hit percentages observed.
dfLearningRate	Specifies the current learning rate.
dfMsTiming	Specifies the timing of the training cycle.
dbgInfo	Optionally, specifies the DebugInformation of the training cycle. This value is set when Solver::EnableBlobDebugging == true.

Definition at line 292 of file EventArgs.cs.

Property Documentation

◆ ActiveLabelCounts

string MyCaffe.common.TrainingIterationArgs< T >.ActiveLabelCounts

get

Returns the current active label counts as a string.

Definition at line 342 of file EventArgs.cs.

◆ BestSmoothedLoss

double MyCaffe.common.TrainingIterationArgs< T >.BestSmoothedLoss

get

Returns the best smoothed loss observed during the training.

Definition at line 326 of file EventArgs.cs.

◆ BoostQueryHitPercents

string MyCaffe.common.TrainingIterationArgs< T >.BoostQueryHitPercents

get

Returns the current boost query hit percentages observed at this point in training.

Definition at line 366 of file EventArgs.cs.

◆ DebugInformation

DebugInformation<T> MyCaffe.common.TrainingIterationArgs< T >.DebugInformation

get

Returns the DebugInformation (if any). The DebugInformation is set to null when Solver::EnableBlobDebugging == false.

Definition at line 382 of file EventArgs.cs.

◆ LabelQueryEpochs

string MyCaffe.common.TrainingIterationArgs< T >.LabelQueryEpochs

get

Returns the current label epochs per label observed at this point in training.

Definition at line 358 of file EventArgs.cs.

◆ LabelQueryHitPercents

string MyCaffe.common.TrainingIterationArgs< T >.LabelQueryHitPercents

get

Returns the current label query hit percentages observed at this point in training.

Definition at line 350 of file EventArgs.cs.

◆ LearningRate

double MyCaffe.common.TrainingIterationArgs< T >.LearningRate

get

Return the current learning rate.

Definition at line 374 of file EventArgs.cs.

◆ Loss

double MyCaffe.common.TrainingIterationArgs< T >.Loss

get

Returns the loss of the training cycle.

Definition at line 310 of file EventArgs.cs.

◆ SmoothedLoss

double MyCaffe.common.TrainingIterationArgs< T >.SmoothedLoss

get

Retunrs the average loss after the training cycle.

Definition at line 318 of file EventArgs.cs.

◆ WeightsUpdated

bool MyCaffe.common.TrainingIterationArgs< T >.WeightsUpdated

get

Returns whether or not the weights have been updated.

Definition at line 334 of file EventArgs.cs.

The documentation for this class was generated from the following file:

C:/Data/Data/SS_Projects/Intelligence/GitHub/MyCaffe/MyCaffe/common/EventArgs.cs

Public Member Functions

Properties