Util Directory Reference

Files
file	Cholesky.cpp [code]
file	Cholesky.h [code]
	This code is based on the LU Decomposition code from Numerical Recipes (3rd Edition)
file	CircularBuffer.h [code]
	The CircularBuffer class provides a data structure for creating a dynamic circular buffer (also known as a cyclic buffer or a ring buffer). The main advantage of a circular buffer is that it does not need to have its elements shuffled around each time a new element is added. The circular buffer therefore works well for FIFO (first in first out) buffers.
file	ClassificationResult.h [code]
	The ClassificationResult class provides a data structure for storing the results of a classification test.
file	ClassTracker.h [code]
file	CommandLineParser.h [code]
file	DataType.h [code]
file	DebugLog.cpp [code]
file	DebugLog.h [code]
file	EigenvalueDecomposition.cpp [code]
file	EigenvalueDecomposition.h [code]
file	ErrorLog.cpp [code]
file	ErrorLog.h [code]
file	FileParser.h [code]
file	GRTCommon.h [code]
file	GRTException.h [code]
file	GRTTypedefs.h [code]
file	GRTVersionInfo.h [code]
file	IndexedDouble.h [code]
file	InfoLog.cpp [code]
file	InfoLog.h [code]
file	Log.h [code]
file	LUDecomposition.cpp [code]
file	LUDecomposition.h [code]
file	MinMax.h [code]
file	Observer.h [code]
file	ObserverManager.h [code]
file	PeakDetection.cpp [code]
file	PeakDetection.h [code]
file	Random.h [code]
	This file contains the Random class, a useful wrapper for generating cross platform random functions. This includes functions for uniform distributions (both integer and Float) and Gaussian distributions.
file	RangeTracker.cpp [code]
file	RangeTracker.h [code]
	The RangeTracker can be used to keep track of the expected ranges that might occur in a dataset. These ranges can then be used to set the external ranges of a dataset for several of the GRT DataStructures.
file	SVD.cpp [code]
file	SVD.h [code]
file	TestingLog.cpp [code]
file	TestingLog.h [code]
file	TestInstanceResult.h [code]
	The TestInstanceResult class provides a data structure for storing the results of a classification or regression test instance.
file	TestResult.h [code]
	The TestResult class provides a data structure for storing the results of a classification or regression test.
file	ThreadPool.cpp [code]
file	ThreadPool.h [code]
	The ThreadPool class implements a flexible inteface for performing a large number of batch tasks. You need to build the GRT with GRT_CXX11_ENABLED, otherwise the ThreadPool class will be empty (as it requires C++11 support).
file	ThresholdCrossingDetector.cpp [code]
file	ThresholdCrossingDetector.h [code]
	This class implements a threshold crossing detector.
file	Timer.h [code]
file	TimeSeriesClassificationSampleTrimmer.cpp [code]
file	TimeSeriesClassificationSampleTrimmer.h [code]
	This class provides a useful tool to automatically trim timeseries data.
file	TimeStamp.h [code]
file	TrainingDataRecordingTimer.cpp [code]
file	TrainingDataRecordingTimer.h [code]
	The TrainingDataRecordingTimer is a tool to help record your training data.
file	TrainingLog.cpp [code]
file	TrainingLog.h [code]
file	TrainingResult.h [code]
	The TrainingResult class provides a data structure for storing the results of a classification or regression training iteration.
file	Util.cpp [code]
file	Util.h [code]
	This file contains the Util class, a wrapper for a number of generic functions that are used throughout the GRT. This includes functions for scaling data, finding the minimum or maximum values in a double or UINT vector, etc. Many of these functions are static functions, which enables you to use them without having to create a new Util instance, for instance, you can directly call: Util::sleep( 1000 ); to use the sleep function.
file	WarningLog.cpp [code]
file	WarningLog.h [code]