GestureRecognitionToolkit  Version: 0.2.0
The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, c++ machine learning library for real-time gesture recognition.
TimeSeriesClassificationData Member List

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

addSample(const UINT classLabel, const MatrixFloat &trainingSample)TimeSeriesClassificationData
allowNullGestureClassTimeSeriesClassificationDataprotected
classTrackerTimeSeriesClassificationDataprotected
clear()TimeSeriesClassificationData
crossValidationIndexsTimeSeriesClassificationDataprotected
crossValidationSetupTimeSeriesClassificationDataprotected
dataTimeSeriesClassificationDataprotected
datasetNameTimeSeriesClassificationDataprotected
debugLogTimeSeriesClassificationDataprotected
enableExternalRangeScaling(const bool useExternalRanges)TimeSeriesClassificationData
eraseAllSamplesWithClassLabel(const UINT classLabel)TimeSeriesClassificationData
errorLogTimeSeriesClassificationDataprotected
externalRangesTimeSeriesClassificationDataprotected
getClassData(const UINT classLabel) const TimeSeriesClassificationData
getClassificationData() const TimeSeriesClassificationDatainline
getClassLabelIndexValue(const UINT classLabel) const TimeSeriesClassificationData
getClassNameForCorrespondingClassLabel(const UINT classLabel) const TimeSeriesClassificationData
getClassTracker() const TimeSeriesClassificationDatainline
getDataAsMatrixFloat() const TimeSeriesClassificationData
getDatasetName() const TimeSeriesClassificationDatainline
getInfoText() const TimeSeriesClassificationDatainline
getMaximumClassLabel() const TimeSeriesClassificationData
getMinimumClassLabel() const TimeSeriesClassificationData
getNumClasses() const TimeSeriesClassificationDatainline
getNumDimensions() const TimeSeriesClassificationDatainline
getNumSamples() const TimeSeriesClassificationDatainline
getRanges() const TimeSeriesClassificationData
getStatsAsString() const TimeSeriesClassificationData
getTestFoldData(const UINT foldIndex) const TimeSeriesClassificationData
getTrainingFoldData(const UINT foldIndex) const TimeSeriesClassificationData
GRT_DEPRECATED_MSG("partition(...) is deprecated, use split(...) instead", TimeSeriesClassificationData partition(const UINT partitionPercentage, const bool useStratifiedSampling=false))TimeSeriesClassificationData
infoTextTimeSeriesClassificationDataprotected
kFoldValueTimeSeriesClassificationDataprotected
load(const std::string &filename)TimeSeriesClassificationData
loadDatasetFromCSVFile(const std::string &filename)TimeSeriesClassificationData
loadDatasetFromFile(const std::string filename)TimeSeriesClassificationData
merge(const TimeSeriesClassificationData &labelledData)TimeSeriesClassificationData
numDimensionsTimeSeriesClassificationDataprotected
operator=(const TimeSeriesClassificationData &rhs)TimeSeriesClassificationData
operator[](const UINT &i)TimeSeriesClassificationDatainline
operator[](const UINT &i) const TimeSeriesClassificationDatainline
printStats() const TimeSeriesClassificationData
reformatAsUnlabelledData() const TimeSeriesClassificationData
relabelAllSamplesWithClassLabel(const UINT oldClassLabel, const UINT newClassLabel)TimeSeriesClassificationData
removeLastSample()TimeSeriesClassificationData
save(const std::string &filename) const TimeSeriesClassificationData
saveDatasetToCSVFile(const std::string &filename) const TimeSeriesClassificationData
saveDatasetToFile(const std::string filename) const TimeSeriesClassificationData
scale(const Float minTarget, const Float maxTarget)TimeSeriesClassificationData
scale(const Vector< MinMax > &ranges, const Float minTarget, const Float maxTarget)TimeSeriesClassificationData
setAllowNullGestureClass(const bool allowNullGestureClass)TimeSeriesClassificationData
setClassNameForCorrespondingClassLabel(const std::string className, const UINT classLabel)TimeSeriesClassificationData
setDatasetName(const std::string datasetName)TimeSeriesClassificationData
setExternalRanges(const Vector< MinMax > &externalRanges, const bool useExternalRanges=false)TimeSeriesClassificationData
setInfoText(const std::string infoText)TimeSeriesClassificationData
setNumDimensions(const UINT numDimensions)TimeSeriesClassificationData
spiltDataIntoKFolds(const UINT K, const bool useStratifiedSampling=false)TimeSeriesClassificationData
split(const UINT partitionPercentage, const bool useStratifiedSampling=false)TimeSeriesClassificationData
TimeSeriesClassificationData(UINT numDimensions=0, std::string datasetName="NOT_SET", std::string infoText="")TimeSeriesClassificationData
TimeSeriesClassificationData(const TimeSeriesClassificationData &rhs)TimeSeriesClassificationData
totalNumSamplesTimeSeriesClassificationDataprotected
useExternalRangesTimeSeriesClassificationDataprotected
warningLogTimeSeriesClassificationDataprotected
~TimeSeriesClassificationData()TimeSeriesClassificationDatavirtual