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.
RegressionData Member List

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

addSample(const VectorFloat &inputVector, const VectorFloat &targetVector)RegressionData
clear()RegressionData
enableExternalRangeScaling(const bool useExternalRanges)RegressionData
getData() const RegressionDatainline
getDatasetName() const RegressionDatainline
getInfoText() const RegressionDatainline
getInputRanges() const RegressionData
getNumInputDimensions() const RegressionDatainline
getNumSamples() const RegressionDatainline
getNumTargetDimensions() const RegressionDatainline
getStatsAsString() const (defined in RegressionData)RegressionData
getTargetRanges() const RegressionData
getTestFoldData(const UINT foldIndex) const RegressionData
getTrainingFoldData(const UINT foldIndex) const RegressionData
GRT_DEPRECATED_MSG("partition(...) is deprecated, use split(...) instead", RegressionData partition(const UINT trainingSizePercentage))RegressionData
load(const std::string &filename)RegressionData
loadDatasetFromCSVFile(const std::string &filename, const UINT numInputDimensions, const UINT numTargetDimensions)RegressionData
loadDatasetFromFile(const std::string &filename)RegressionData
merge(const RegressionData &regressionData)RegressionData
operator=(const RegressionData &rhs)RegressionData
operator[](const UINT &i)RegressionDatainline
operator[](const UINT &i) const RegressionDatainline
printStats() const (defined in RegressionData)RegressionData
RegressionData(const UINT numInputDimensions=0, const UINT numTargetDimensions=0, const std::string datasetName="NOT_SET", const std::string infoText="")RegressionData
RegressionData(const RegressionData &rhs)RegressionData
removeDuplicateSamples() (defined in RegressionData)RegressionData
removeLastSample()RegressionData
reserve(const UINT N)RegressionData
save(const std::string &filename) const RegressionData
saveDatasetToCSVFile(const std::string &filename) const RegressionData
saveDatasetToFile(const std::string &filename) const RegressionData
scale(const Float minTarget, const Float maxTarget)RegressionData
scale(const Vector< MinMax > &inputVectorRanges, const Vector< MinMax > &targetVectorRanges, const Float minTarget, const Float maxTarget)RegressionData
setDatasetName(const std::string &datasetName)RegressionData
setExternalRanges(const Vector< MinMax > &externalInputRanges, const Vector< MinMax > &externalTargetRanges, const bool useExternalRanges)RegressionData
setInfoText(const std::string &infoText)RegressionData
setInputAndTargetDimensions(const UINT numInputDimensions, const UINT numTargetDimensions)RegressionData
spiltDataIntoKFolds(const UINT K)RegressionData
split(const UINT trainingSizePercentage)RegressionData
~RegressionData()RegressionData