GestureRecognitionToolkit  Version: 1.0 Revision: 04-03-15
The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, c++ machine learning library for real-time gesture recognition.
GRT::TimeSeriesClassificationData Member List

This is the complete list of members for GRT::TimeSeriesClassificationData, including all inherited members.

addSample(const UINT classLabel, const MatrixDouble &trainingSample)GRT::TimeSeriesClassificationData
allowNullGestureClassGRT::TimeSeriesClassificationDataprotected
classTrackerGRT::TimeSeriesClassificationDataprotected
clear()GRT::TimeSeriesClassificationData
crossValidationIndexsGRT::TimeSeriesClassificationDataprotected
crossValidationSetupGRT::TimeSeriesClassificationDataprotected
dataGRT::TimeSeriesClassificationDataprotected
datasetNameGRT::TimeSeriesClassificationDataprotected
debugLogGRT::TimeSeriesClassificationDataprotected
enableExternalRangeScaling(const bool useExternalRanges)GRT::TimeSeriesClassificationData
eraseAllSamplesWithClassLabel(const UINT classLabel)GRT::TimeSeriesClassificationData
errorLogGRT::TimeSeriesClassificationDataprotected
externalRangesGRT::TimeSeriesClassificationDataprotected
getClassData(const UINT classLabel) const GRT::TimeSeriesClassificationData
getClassificationData() const GRT::TimeSeriesClassificationDatainline
getClassLabelIndexValue(const UINT classLabel) const GRT::TimeSeriesClassificationData
getClassNameForCorrespondingClassLabel(const UINT classLabel) const GRT::TimeSeriesClassificationData
getClassTracker() const GRT::TimeSeriesClassificationDatainline
getDataAsMatrixDouble() const GRT::TimeSeriesClassificationData
getDatasetName() const GRT::TimeSeriesClassificationDatainline
getInfoText() const GRT::TimeSeriesClassificationDatainline
getMaximumClassLabel() const GRT::TimeSeriesClassificationData
getMinimumClassLabel() const GRT::TimeSeriesClassificationData
getNumClasses() const GRT::TimeSeriesClassificationDatainline
getNumDimensions() const GRT::TimeSeriesClassificationDatainline
getNumSamples() const GRT::TimeSeriesClassificationDatainline
getRanges() const GRT::TimeSeriesClassificationData
getStatsAsString() const GRT::TimeSeriesClassificationData
getTestFoldData(const UINT foldIndex) const GRT::TimeSeriesClassificationData
getTrainingFoldData(const UINT foldIndex) const GRT::TimeSeriesClassificationData
infoTextGRT::TimeSeriesClassificationDataprotected
kFoldValueGRT::TimeSeriesClassificationDataprotected
load(const string &filename)GRT::TimeSeriesClassificationData
loadDatasetFromCSVFile(const string &filename)GRT::TimeSeriesClassificationData
loadDatasetFromFile(const string filename)GRT::TimeSeriesClassificationData
merge(const TimeSeriesClassificationData &labelledData)GRT::TimeSeriesClassificationData
numDimensionsGRT::TimeSeriesClassificationDataprotected
operator=(const TimeSeriesClassificationData &rhs)GRT::TimeSeriesClassificationData
operator[](const UINT &i)GRT::TimeSeriesClassificationDatainline
operator[](const UINT &i) const GRT::TimeSeriesClassificationDatainline
partition(const UINT partitionPercentage, const bool useStratifiedSampling=false)GRT::TimeSeriesClassificationData
printStats() const GRT::TimeSeriesClassificationData
reformatAsUnlabelledData() const GRT::TimeSeriesClassificationData
relabelAllSamplesWithClassLabel(const UINT oldClassLabel, const UINT newClassLabel)GRT::TimeSeriesClassificationData
removeLastSample()GRT::TimeSeriesClassificationData
save(const string &filename) const GRT::TimeSeriesClassificationData
saveDatasetToCSVFile(const string &filename) const GRT::TimeSeriesClassificationData
saveDatasetToFile(const string filename) const GRT::TimeSeriesClassificationData
scale(const double minTarget, const double maxTarget)GRT::TimeSeriesClassificationData
scale(const vector< MinMax > &ranges, const double minTarget, const double maxTarget)GRT::TimeSeriesClassificationData
setAllowNullGestureClass(const bool allowNullGestureClass)GRT::TimeSeriesClassificationData
setClassNameForCorrespondingClassLabel(const string className, const UINT classLabel)GRT::TimeSeriesClassificationData
setDatasetName(const string datasetName)GRT::TimeSeriesClassificationData
setExternalRanges(const vector< MinMax > &externalRanges, const bool useExternalRanges=false)GRT::TimeSeriesClassificationData
setInfoText(const string infoText)GRT::TimeSeriesClassificationData
setNumDimensions(const UINT numDimensions)GRT::TimeSeriesClassificationData
spiltDataIntoKFolds(const UINT K, const bool useStratifiedSampling=false)GRT::TimeSeriesClassificationData
TimeSeriesClassificationData(UINT numDimensions=0, string datasetName="NOT_SET", string infoText="")GRT::TimeSeriesClassificationData
TimeSeriesClassificationData(const TimeSeriesClassificationData &rhs)GRT::TimeSeriesClassificationData
totalNumSamplesGRT::TimeSeriesClassificationDataprotected
useExternalRangesGRT::TimeSeriesClassificationDataprotected
warningLogGRT::TimeSeriesClassificationDataprotected
~TimeSeriesClassificationData()GRT::TimeSeriesClassificationDatavirtual