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GestureRecognitionToolkit
Version: 0.2.5
The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, c++ machine learning library for real-time gesture recognition.
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GestureRecognitionToolkit
Version: 0.2.5
The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, c++ machine learning library for real-time gesture recognition.
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This is the complete list of members for ClassificationData, including all inherited members.
| addClass(const UINT classLabel, const std::string className="NOT_SET") | ClassificationData | |
| addSample(const UINT classLabel, const VectorFloat &sample) | ClassificationData | |
| classId | GRTBase | protected |
| ClassificationData(UINT numDimensions=0, std::string datasetName="NOT_SET", std::string infoText="") | ClassificationData | |
| ClassificationData(const ClassificationData &rhs) | ClassificationData | |
| clear() | ClassificationData | |
| copyGRTBaseVariables(const GRTBase *GRTBase) | GRTBase | |
| debugLog (defined in GRTBase) | GRTBase | protected |
| enableExternalRangeScaling(const bool useExternalRanges) | ClassificationData | |
| eraseAllSamplesWithClassLabel(const UINT classLabel) | ClassificationData | |
| errorLog (defined in GRTBase) | GRTBase | protected |
| generateGaussDataset(const std::string filename, const UINT numSamples=10000, const UINT numClasses=10, const UINT numDimensions=3, const Float range=10, const Float sigma=1) | ClassificationData | static |
| generateGaussDataset(const UINT numSamples=10000, const UINT numClasses=10, const UINT numDimensions=3, const Float range=10, const Float sigma=1) | ClassificationData | static |
| generateGaussLinearDataset(const UINT numSamples=10000, const UINT numClasses=10, const UINT numDimensions=3, const Float range=10, const Float sigma=1) | ClassificationData | static |
| getBootstrappedDataset(const UINT numSamples=0, const bool balanceDataset=false) const | ClassificationData | |
| getClassData(const UINT classLabel) const | ClassificationData | |
| getClassDataIndexes(const UINT classLabel) const | ClassificationData | |
| getClassHistogramData(const UINT classLabel, const UINT numBins) const | ClassificationData | |
| getClassificationData() const | ClassificationData | inline |
| getClassLabelIndexValue(const UINT classLabel) const | ClassificationData | |
| getClassLabels() const | ClassificationData | |
| getClassMean() const | ClassificationData | |
| getClassNameForCorrespondingClassLabel(const UINT classLabel) const | ClassificationData | |
| getClassProbabilities() const (defined in ClassificationData) | ClassificationData | |
| getClassProbabilities(const Vector< UINT > &classLabels) const (defined in ClassificationData) | ClassificationData | |
| getClassStdDev() const | ClassificationData | |
| getClassTracker() const | ClassificationData | inline |
| getCovarianceMatrix() const | ClassificationData | |
| getDataAsMatrixDouble() const | ClassificationData | |
| getDataAsMatrixFloat() const | ClassificationData | |
| getDatasetName() const | ClassificationData | inline |
| getGRTBasePointer() | GRTBase | |
| getGRTBasePointer() const | GRTBase | |
| getGRTRevison() | GRTBase | static |
| getGRTVersion(bool returnRevision=true) | GRTBase | static |
| getHistogramData(const UINT numBins) const | ClassificationData | |
| getId() const | GRTBase | |
| getInfoText() const | ClassificationData | inline |
| getLastErrorMessage() const | GRTBase | |
| getLastInfoMessage() const | GRTBase | |
| getLastWarningMessage() const | GRTBase | |
| getMaximumClassLabel() const | ClassificationData | |
| getMean() const | ClassificationData | |
| getMinimumClassLabel() const | ClassificationData | |
| getNumClasses() const | ClassificationData | inline |
| getNumDimensions() const | ClassificationData | inline |
| getNumSamples() const | ClassificationData | inline |
| getNumSamplesPerClass() const | ClassificationData | |
| getRanges() const | ClassificationData | |
| getStatsAsString() const | ClassificationData | |
| getStdDev() const | ClassificationData | |
| getTestFoldData(const UINT foldIndex) const | ClassificationData | |
| getTrainingFoldData(const UINT foldIndex) const | ClassificationData | |
| GRT_DEPRECATED_MSG("partition(...) is deprecated, use split(...) instead", ClassificationData partition(const UINT partitionPercentage, const bool useStratifiedSampling=false)) | ClassificationData | |
| GRTBase::GRT_DEPRECATED_MSG("getClassType is deprecated, use getId() instead!", std::string getClassType() const ) | GRTBase | |
| GRTBase(const std::string &id="") | GRTBase | |
| infoLog (defined in GRTBase) | GRTBase | protected |
| load(const std::string &filename) | ClassificationData | |
| loadDatasetFromCSVFile(const std::string &filename, const UINT classLabelColumnIndex=0) | ClassificationData | |
| loadDatasetFromFile(const std::string &filename) | ClassificationData | |
| merge(const ClassificationData &data) | ClassificationData | |
| operator=(const ClassificationData &rhs) | ClassificationData | |
| operator[](const UINT &i) | ClassificationData | inline |
| operator[](const UINT &i) const | ClassificationData | inline |
| printStats() const | ClassificationData | |
| reformatAsRegressionData() const | ClassificationData | |
| reformatAsUnlabelledData() const | ClassificationData | |
| relabelAllSamplesWithClassLabel(const UINT oldClassLabel, const UINT newClassLabel) | ClassificationData | |
| removeClass(const UINT classLabel) | ClassificationData | |
| removeLastSample() | ClassificationData | |
| removeSample(const UINT index) | ClassificationData | |
| reserve(const UINT M) | ClassificationData | |
| save(const std::string &filename) const | ClassificationData | |
| saveDatasetToCSVFile(const std::string &filename) const | ClassificationData | |
| saveDatasetToFile(const std::string &filename) const | ClassificationData | |
| scale(const Float minTarget, const Float maxTarget) | ClassificationData | |
| scale(const Vector< MinMax > &ranges, const Float minTarget, const Float maxTarget) | ClassificationData | |
| GRTBase::scale(const Float &x, const Float &minSource, const Float &maxSource, const Float &minTarget, const Float &maxTarget, const bool constrain=false) | GRTBase | inline |
| setAllowNullGestureClass(const bool allowNullGestureClass) | ClassificationData | |
| setClassNameForCorrespondingClassLabel(const std::string className, const UINT classLabel) | ClassificationData | |
| setDatasetName(std::string datasetName) | ClassificationData | |
| setDebugLoggingEnabled(const bool loggingEnabled) | GRTBase | |
| setErrorLoggingEnabled(const bool loggingEnabled) | GRTBase | |
| setExternalRanges(const Vector< MinMax > &externalRanges, const bool useExternalRanges=false) | ClassificationData | |
| setInfoLoggingEnabled(const bool loggingEnabled) | GRTBase | |
| setInfoText(std::string infoText) | ClassificationData | |
| setNumDimensions(UINT numDimensions) | ClassificationData | |
| setWarningLoggingEnabled(const bool loggingEnabled) | GRTBase | |
| sortClassLabels() | ClassificationData | |
| spiltDataIntoKFolds(const UINT K, const bool useStratifiedSampling=false) | ClassificationData | |
| split(const UINT splitPercentage, const bool useStratifiedSampling=false) | ClassificationData | |
| SQR(const Float &x) const (defined in GRTBase) | GRTBase | inline |
| warningLog (defined in GRTBase) | GRTBase | protected |
| ~ClassificationData() | ClassificationData | virtual |
| ~GRTBase(void) | GRTBase | virtual |
1.8.11 
