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::ClassLabelChangeFilter Member List

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

BASE_TYPE_NOT_SET enum value (defined in GRT::MLBase)GRT::MLBase
baseType (defined in GRT::MLBase)GRT::MLBaseprotected
BaseTypes enum name (defined in GRT::MLBase)GRT::MLBase
CLASSIFIER enum value (defined in GRT::MLBase)GRT::MLBase
ClassLabelChangeFilter()GRT::ClassLabelChangeFilter
ClassLabelChangeFilter(const ClassLabelChangeFilter &rhs)GRT::ClassLabelChangeFilter
classType (defined in GRT::GRTBase)GRT::GRTBaseprotected
clear()GRT::MLBasevirtual
CLUSTERER enum value (defined in GRT::MLBase)GRT::MLBase
copyBaseVariables(const PostProcessing *postProcessingModule)GRT::PostProcessing
copyGRTBaseVariables(const GRTBase *GRTBase)GRT::GRTBase
copyMLBaseVariables(const MLBase *mlBase)GRT::MLBase
createInstanceFromString(string const &postProcessingType)GRT::PostProcessingstatic
createNewInstance() const GRT::PostProcessing
debugLog (defined in GRT::GRTBase)GRT::GRTBaseprotected
deepCopyFrom(const PostProcessing *postProcessing)GRT::ClassLabelChangeFiltervirtual
enableScaling(bool useScaling)GRT::MLBase
errorLog (defined in GRT::GRTBase)GRT::GRTBaseprotected
filter(UINT predictedClassLabel)GRT::ClassLabelChangeFilter
filteredClassLabel (defined in GRT::ClassLabelChangeFilter)GRT::ClassLabelChangeFilterprotected
getBaseType() const GRT::MLBase
getChange()GRT::ClassLabelChangeFilter
getClassType() const GRT::GRTBase
getFilteredClassLabel()GRT::ClassLabelChangeFilterinline
getGRTBasePointer()GRT::GRTBase
getGRTBasePointer() const GRT::GRTBase
getGRTRevison()GRT::GRTBasestatic
getGRTVersion(bool returnRevision=true)GRT::GRTBasestatic
getInitialized() const GRT::PostProcessing
getIsBaseTypeClassifier() const GRT::MLBase
getIsBaseTypeClusterer() const GRT::MLBase
getIsBaseTypeRegressifier() const GRT::MLBase
getIsPostProcessingInputModeClassLikelihoods() const GRT::PostProcessing
getIsPostProcessingInputModePredictedClassLabel() const GRT::PostProcessing
getIsPostProcessingOutputModeClassLikelihoods() const GRT::PostProcessing
getIsPostProcessingOutputModePredictedClassLabel() const GRT::PostProcessing
getLastErrorMessage() const GRT::GRTBase
getLastInfoMessage() const GRT::GRTBase
getLastWarningMessage() const GRT::GRTBase
getLearningRate() const GRT::MLBase
getMap() (defined in GRT::PostProcessing)GRT::PostProcessinginlineprotectedstatic
getMaxNumEpochs() const GRT::MLBase
getMinChange() const GRT::MLBase
getMinNumEpochs() const GRT::MLBase
getMLBasePointer()GRT::MLBase
getMLBasePointer() const GRT::MLBase
getModel(ostream &stream) const GRT::MLBasevirtual
getModelAsString() const GRT::MLBasevirtual
getModelTrained() const GRT::MLBase
getNumInputDimensions() const GRT::PostProcessing
getNumInputFeatures() const GRT::MLBase
getNumOutputDimensions() const GRT::PostProcessing
getNumTrainingIterationsToConverge() const GRT::MLBase
getPostProcessingInputMode() const GRT::PostProcessing
getPostProcessingOutputMode() const GRT::PostProcessing
getPostProcessingType() const GRT::PostProcessing
getProcessedData() const GRT::PostProcessing
getRandomiseTrainingOrder() const GRT::MLBase
getRootMeanSquaredTrainingError() const GRT::MLBase
getScalingEnabled() const GRT::MLBase
getTotalSquaredTrainingError() const GRT::MLBase
getTrained() const GRT::MLBase
getTrainingResults() const GRT::MLBase
getUseValidationSet() const GRT::MLBase
getValidationSetSize() const GRT::MLBase
GRTBase(void)GRT::GRTBase
infoLog (defined in GRT::GRTBase)GRT::GRTBaseprotected
init()GRT::ClassLabelChangeFilter
initialized (defined in GRT::PostProcessing)GRT::PostProcessingprotected
INPUT_MODE_CLASS_LIKELIHOODS enum value (defined in GRT::PostProcessing)GRT::PostProcessing
INPUT_MODE_NOT_SET enum value (defined in GRT::PostProcessing)GRT::PostProcessing
INPUT_MODE_PREDICTED_CLASS_LABEL enum value (defined in GRT::PostProcessing)GRT::PostProcessing
labelChanged (defined in GRT::ClassLabelChangeFilter)GRT::ClassLabelChangeFilterprotected
learningRate (defined in GRT::MLBase)GRT::MLBaseprotected
load(const string filename)GRT::MLBasevirtual
loadBaseSettingsFromFile(fstream &file)GRT::MLBaseprotected
loadModelFromFile(string filename)GRT::ClassLabelChangeFiltervirtual
loadModelFromFile(fstream &file)GRT::ClassLabelChangeFiltervirtual
loadPostProcessingSettingsFromFile(fstream &file)GRT::PostProcessingprotected
map(VectorDouble inputVector)GRT::MLBasevirtual
map_(VectorDouble &inputVector)GRT::MLBasevirtual
maxNumEpochs (defined in GRT::MLBase)GRT::MLBaseprotected
minChange (defined in GRT::MLBase)GRT::MLBaseprotected
minNumEpochs (defined in GRT::MLBase)GRT::MLBaseprotected
MLBase(void)GRT::MLBase
notify(const TrainingResult &data) (defined in GRT::Observer< TrainingResult >)GRT::Observer< TrainingResult >inlinevirtual
notify(const TestInstanceResult &data) (defined in GRT::Observer< TestInstanceResult >)GRT::Observer< TestInstanceResult >inlinevirtual
notifyTestResultsObservers(const TestInstanceResult &data)GRT::MLBase
notifyTrainingResultsObservers(const TrainingResult &data)GRT::MLBase
numInputDimensions (defined in GRT::MLBase)GRT::MLBaseprotected
numOutputDimensions (defined in GRT::MLBase)GRT::MLBaseprotected
numTrainingIterationsToConverge (defined in GRT::MLBase)GRT::MLBaseprotected
Observer() (defined in GRT::Observer< TrainingResult >)GRT::Observer< TrainingResult >inline
Observer() (defined in GRT::Observer< TestInstanceResult >)GRT::Observer< TestInstanceResult >inline
operator=(const ClassLabelChangeFilter &rhs)GRT::ClassLabelChangeFilter
OUTPUT_MODE_CLASS_LIKELIHOODS enum value (defined in GRT::PostProcessing)GRT::PostProcessing
OUTPUT_MODE_NOT_SET enum value (defined in GRT::PostProcessing)GRT::PostProcessing
OUTPUT_MODE_PREDICTED_CLASS_LABEL enum value (defined in GRT::PostProcessing)GRT::PostProcessing
PostProcessing(void)GRT::PostProcessing
postProcessingInputMode (defined in GRT::PostProcessing)GRT::PostProcessingprotected
PostprocessingInputModes enum name (defined in GRT::PostProcessing)GRT::PostProcessing
postProcessingOutputMode (defined in GRT::PostProcessing)GRT::PostProcessingprotected
PostprocessingOutputModes enum name (defined in GRT::PostProcessing)GRT::PostProcessing
postProcessingType (defined in GRT::PostProcessing)GRT::PostProcessingprotected
predict(VectorDouble inputVector)GRT::MLBasevirtual
predict(MatrixDouble inputMatrix)GRT::MLBasevirtual
predict_(VectorDouble &inputVector)GRT::MLBasevirtual
predict_(MatrixDouble &inputMatrix)GRT::MLBasevirtual
print() const GRT::MLBasevirtual
process(const VectorDouble &inputVector)GRT::ClassLabelChangeFiltervirtual
processedData (defined in GRT::PostProcessing)GRT::PostProcessingprotected
random (defined in GRT::MLBase)GRT::MLBaseprotected
randomiseTrainingOrder (defined in GRT::MLBase)GRT::MLBaseprotected
registerModule (defined in GRT::ClassLabelChangeFilter)GRT::ClassLabelChangeFilterprotectedstatic
registerTestResultsObserver(Observer< TestInstanceResult > &observer)GRT::MLBase
registerTrainingResultsObserver(Observer< TrainingResult > &observer)GRT::MLBase
REGRESSIFIER enum value (defined in GRT::MLBase)GRT::MLBase
removeAllTestObservers()GRT::MLBase
removeAllTrainingObservers()GRT::MLBase
removeTestResultsObserver(const Observer< TestInstanceResult > &observer)GRT::MLBase
removeTrainingResultsObserver(const Observer< TrainingResult > &observer)GRT::MLBase
reset()GRT::ClassLabelChangeFiltervirtual
rootMeanSquaredTrainingError (defined in GRT::MLBase)GRT::MLBaseprotected
save(const string filename) const GRT::MLBasevirtual
saveBaseSettingsToFile(fstream &file) const GRT::MLBaseprotected
saveModelToFile(string filename) const GRT::ClassLabelChangeFiltervirtual
saveModelToFile(fstream &file) const GRT::ClassLabelChangeFiltervirtual
savePostProcessingSettingsToFile(fstream &file) const GRT::PostProcessingprotected
scale(const double &x, const double &minSource, const double &maxSource, const double &minTarget, const double &maxTarget, const bool constrain=false)GRT::MLBaseinline
setLearningRate(double learningRate)GRT::MLBase
setMaxNumEpochs(const UINT maxNumEpochs)GRT::MLBase
setMinChange(const double minChange)GRT::MLBase
setMinNumEpochs(const UINT minNumEpochs)GRT::MLBase
setRandomiseTrainingOrder(const bool randomiseTrainingOrder)GRT::MLBase
setUseValidationSet(const bool useValidationSet)GRT::MLBase
setValidationSetSize(const UINT validationSetSize)GRT::MLBase
SQR(const double &x) const (defined in GRT::GRTBase)GRT::GRTBaseinlineprotected
StringPostProcessingMap typedefGRT::PostProcessing
testingLog (defined in GRT::GRTBase)GRT::GRTBaseprotected
testResultsObserverManager (defined in GRT::MLBase)GRT::MLBaseprotected
totalSquaredTrainingError (defined in GRT::MLBase)GRT::MLBaseprotected
train(ClassificationData trainingData)GRT::MLBasevirtual
train(RegressionData trainingData)GRT::MLBasevirtual
train(TimeSeriesClassificationData trainingData)GRT::MLBasevirtual
train(TimeSeriesClassificationDataStream trainingData)GRT::MLBasevirtual
train(UnlabelledData trainingData)GRT::MLBasevirtual
train(MatrixDouble data)GRT::MLBasevirtual
train_(ClassificationData &trainingData)GRT::MLBasevirtual
train_(RegressionData &trainingData)GRT::MLBasevirtual
train_(TimeSeriesClassificationData &trainingData)GRT::MLBasevirtual
train_(TimeSeriesClassificationDataStream &trainingData)GRT::MLBasevirtual
train_(UnlabelledData &trainingData)GRT::MLBasevirtual
train_(MatrixDouble &data)GRT::MLBasevirtual
trained (defined in GRT::MLBase)GRT::MLBaseprotected
trainingLog (defined in GRT::GRTBase)GRT::GRTBaseprotected
trainingResults (defined in GRT::MLBase)GRT::MLBaseprotected
trainingResultsObserverManager (defined in GRT::MLBase)GRT::MLBaseprotected
useScaling (defined in GRT::MLBase)GRT::MLBaseprotected
useValidationSet (defined in GRT::MLBase)GRT::MLBaseprotected
validationSetSize (defined in GRT::MLBase)GRT::MLBaseprotected
warningLog (defined in GRT::GRTBase)GRT::GRTBaseprotected
~ClassLabelChangeFilter()GRT::ClassLabelChangeFiltervirtual
~GRTBase(void)GRT::GRTBasevirtual
~MLBase(void)GRT::MLBasevirtual
~Observer() (defined in GRT::Observer< TrainingResult >)GRT::Observer< TrainingResult >inlinevirtual
~Observer() (defined in GRT::Observer< TestInstanceResult >)GRT::Observer< TestInstanceResult >inlinevirtual
~PostProcessing(void)GRT::PostProcessingvirtual