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::RegisterClustererModule< T > Member List

This is the complete list of members for GRT::RegisterClustererModule< T >, including all inherited members.

BASE_TYPE_NOT_SET enum value (defined in GRT::MLBase)GRT::MLBaseprivate
baseType (defined in GRT::MLBase)GRT::MLBaseprivate
BaseTypes enum name (defined in GRT::MLBase)GRT::MLBaseprivate
bestDistance (defined in GRT::Clusterer)GRT::Clustererprivate
CLASSIFIER enum value (defined in GRT::MLBase)GRT::MLBaseprivate
classType (defined in GRT::GRTBase)GRT::GRTBaseprivate
clear()GRT::Clustererprivatevirtual
clusterDistances (defined in GRT::Clusterer)GRT::Clustererprivate
Clusterer(void)GRT::Clustererprivate
CLUSTERER enum value (defined in GRT::MLBase)GRT::MLBaseprivate
clustererType (defined in GRT::Clusterer)GRT::Clustererprivate
clusterLabels (defined in GRT::Clusterer)GRT::Clustererprivate
clusterLikelihoods (defined in GRT::Clusterer)GRT::Clustererprivate
converged (defined in GRT::Clusterer)GRT::Clustererprivate
copyBaseVariables(const Clusterer *Clusterer)GRT::Clustererprivate
copyGRTBaseVariables(const GRTBase *GRTBase)GRT::GRTBaseprivate
copyMLBaseVariables(const MLBase *mlBase)GRT::MLBaseprivate
createInstanceFromString(string const &ClustererType)GRT::Clustererprivatestatic
createNewInstance() const GRT::Clustererprivate
debugLog (defined in GRT::GRTBase)GRT::GRTBaseprivate
deepCopy() const GRT::Clustererprivate
deepCopyFrom(const Clusterer *Clusterer)GRT::Clustererinlineprivatevirtual
enableScaling(bool useScaling)GRT::MLBaseprivate
errorLog (defined in GRT::GRTBase)GRT::GRTBaseprivate
getBaseClusterer() const GRT::Clustererprivate
getBaseType() const GRT::MLBaseprivate
getBestDistance() const GRT::Clustererprivate
getClassType() const GRT::GRTBaseprivate
getClusterDistances() const GRT::Clustererprivate
getClustererType() const GRT::Clustererprivate
getClusterLabels() const GRT::Clustererprivate
getClusterLikelihoods() const GRT::Clustererprivate
getConverged() const GRT::Clustererprivate
getGRTBasePointer()GRT::GRTBaseprivate
getGRTBasePointer() const GRT::GRTBaseprivate
getGRTRevison()GRT::GRTBaseprivatestatic
getGRTVersion(bool returnRevision=true)GRT::GRTBaseprivatestatic
getIsBaseTypeClassifier() const GRT::MLBaseprivate
getIsBaseTypeClusterer() const GRT::MLBaseprivate
getIsBaseTypeRegressifier() const GRT::MLBaseprivate
getLastErrorMessage() const GRT::GRTBaseprivate
getLastInfoMessage() const GRT::GRTBaseprivate
getLastWarningMessage() const GRT::GRTBaseprivate
getLearningRate() const GRT::MLBaseprivate
getMap() (defined in GRT::Clusterer)GRT::Clustererinlineprivatestatic
getMaximumLikelihood() const GRT::Clustererprivate
getMaxNumEpochs() const GRT::MLBaseprivate
getMinChange() const GRT::MLBaseprivate
getMinNumEpochs() const GRT::MLBaseprivate
getMLBasePointer()GRT::MLBaseprivate
getMLBasePointer() const GRT::MLBaseprivate
getModel(ostream &stream) const GRT::MLBaseprivatevirtual
getModelAsString() const GRT::MLBaseprivatevirtual
getModelTrained() const GRT::MLBaseprivate
getNumClusters() const GRT::Clustererprivate
getNumInputDimensions() const GRT::MLBaseprivate
getNumInputFeatures() const GRT::MLBaseprivate
getNumOutputDimensions() const GRT::MLBaseprivate
getNumTrainingIterationsToConverge() const GRT::MLBaseprivate
getPredictedClusterLabel() const GRT::Clustererprivate
getRandomiseTrainingOrder() const GRT::MLBaseprivate
getRegisteredClusterers()GRT::Clustererprivatestatic
getRootMeanSquaredTrainingError() const GRT::MLBaseprivate
getScalingEnabled() const GRT::MLBaseprivate
getTotalSquaredTrainingError() const GRT::MLBaseprivate
getTrained() const GRT::MLBaseprivate
getTrainingResults() const GRT::MLBaseprivate
getUseValidationSet() const GRT::MLBaseprivate
getValidationSetSize() const GRT::MLBaseprivate
GRTBase(void)GRT::GRTBaseprivate
infoLog (defined in GRT::GRTBase)GRT::GRTBaseprivate
learningRate (defined in GRT::MLBase)GRT::MLBaseprivate
load(const string filename)GRT::MLBaseprivatevirtual
loadBaseSettingsFromFile(fstream &file)GRT::MLBaseprivate
loadClustererSettingsFromFile(fstream &file)GRT::Clustererprivate
loadModelFromFile(string filename)GRT::MLBaseprivatevirtual
loadModelFromFile(fstream &file)GRT::MLBaseprivatevirtual
map(VectorDouble inputVector)GRT::MLBaseprivatevirtual
map_(VectorDouble &inputVector)GRT::MLBaseprivatevirtual
maxLikelihood (defined in GRT::Clusterer)GRT::Clustererprivate
maxNumEpochs (defined in GRT::MLBase)GRT::MLBaseprivate
minChange (defined in GRT::MLBase)GRT::MLBaseprivate
minNumEpochs (defined in GRT::MLBase)GRT::MLBaseprivate
MLBase(void)GRT::MLBaseprivate
notify(const TrainingResult &data) (defined in GRT::Observer< TrainingResult >)GRT::Observer< TrainingResult >inlineprivatevirtual
notify(const TestInstanceResult &data) (defined in GRT::Observer< TestInstanceResult >)GRT::Observer< TestInstanceResult >inlineprivatevirtual
notifyTestResultsObservers(const TestInstanceResult &data)GRT::MLBaseprivate
notifyTrainingResultsObservers(const TrainingResult &data)GRT::MLBaseprivate
numClustersGRT::Clustererprivate
numInputDimensions (defined in GRT::MLBase)GRT::MLBaseprivate
numOutputDimensions (defined in GRT::MLBase)GRT::MLBaseprivate
numTrainingIterationsToConverge (defined in GRT::MLBase)GRT::MLBaseprivate
Observer() (defined in GRT::Observer< TrainingResult >)GRT::Observer< TrainingResult >inlineprivate
Observer() (defined in GRT::Observer< TestInstanceResult >)GRT::Observer< TestInstanceResult >inlineprivate
predict(VectorDouble inputVector)GRT::MLBaseprivatevirtual
predict(MatrixDouble inputMatrix)GRT::MLBaseprivatevirtual
predict_(VectorDouble &inputVector)GRT::MLBaseprivatevirtual
predict_(MatrixDouble &inputMatrix)GRT::MLBaseprivatevirtual
predictedClusterLabelGRT::Clustererprivate
print() const GRT::MLBaseprivatevirtual
random (defined in GRT::MLBase)GRT::MLBaseprivate
randomiseTrainingOrder (defined in GRT::MLBase)GRT::MLBaseprivate
ranges (defined in GRT::Clusterer)GRT::Clustererprivate
RegisterClustererModule(string const &newClassificationModuleName) (defined in GRT::RegisterClustererModule< T >)GRT::RegisterClustererModule< T >inline
registerTestResultsObserver(Observer< TestInstanceResult > &observer)GRT::MLBaseprivate
registerTrainingResultsObserver(Observer< TrainingResult > &observer)GRT::MLBaseprivate
REGRESSIFIER enum value (defined in GRT::MLBase)GRT::MLBaseprivate
removeAllTestObservers()GRT::MLBaseprivate
removeAllTrainingObservers()GRT::MLBaseprivate
removeTestResultsObserver(const Observer< TestInstanceResult > &observer)GRT::MLBaseprivate
removeTrainingResultsObserver(const Observer< TrainingResult > &observer)GRT::MLBaseprivate
reset()GRT::Clustererprivatevirtual
rootMeanSquaredTrainingError (defined in GRT::MLBase)GRT::MLBaseprivate
save(const string filename) const GRT::MLBaseprivatevirtual
saveBaseSettingsToFile(fstream &file) const GRT::MLBaseprivate
saveClustererSettingsToFile(fstream &file) const GRT::Clustererprivate
saveModelToFile(string filename) const GRT::MLBaseprivatevirtual
saveModelToFile(fstream &file) const GRT::MLBaseprivatevirtual
scale(const double &x, const double &minSource, const double &maxSource, const double &minTarget, const double &maxTarget, const bool constrain=false)GRT::MLBaseinlineprivate
setLearningRate(double learningRate)GRT::MLBaseprivate
setMaxNumEpochs(const UINT maxNumEpochs)GRT::MLBaseprivate
setMinChange(const double minChange)GRT::MLBaseprivate
setMinNumEpochs(const UINT minNumEpochs)GRT::MLBaseprivate
setNumClusters(const UINT numClusters)GRT::Clustererprivate
setRandomiseTrainingOrder(const bool randomiseTrainingOrder)GRT::MLBaseprivate
setUseValidationSet(const bool useValidationSet)GRT::MLBaseprivate
setValidationSetSize(const UINT validationSetSize)GRT::MLBaseprivate
SQR(const double &x) const (defined in GRT::GRTBase)GRT::GRTBaseinlineprivate
StringClustererMap typedefGRT::Clustererprivate
testingLog (defined in GRT::GRTBase)GRT::GRTBaseprivate
testResultsObserverManager (defined in GRT::MLBase)GRT::MLBaseprivate
totalSquaredTrainingError (defined in GRT::MLBase)GRT::MLBaseprivate
train(ClassificationData trainingData)GRT::MLBaseprivatevirtual
train(RegressionData trainingData)GRT::MLBaseprivatevirtual
train(TimeSeriesClassificationData trainingData)GRT::MLBaseprivatevirtual
train(TimeSeriesClassificationDataStream trainingData)GRT::MLBaseprivatevirtual
train(UnlabelledData trainingData)GRT::MLBaseprivatevirtual
train(MatrixDouble data)GRT::MLBaseprivatevirtual
train_(MatrixDouble &trainingData)GRT::Clustererprivatevirtual
train_(ClassificationData &trainingData)GRT::Clustererprivatevirtual
train_(UnlabelledData &trainingData)GRT::Clustererprivatevirtual
GRT::MLBase::train_(RegressionData &trainingData)GRT::MLBaseprivatevirtual
GRT::MLBase::train_(TimeSeriesClassificationData &trainingData)GRT::MLBaseprivatevirtual
GRT::MLBase::train_(TimeSeriesClassificationDataStream &trainingData)GRT::MLBaseprivatevirtual
trained (defined in GRT::MLBase)GRT::MLBaseprivate
trainingLog (defined in GRT::GRTBase)GRT::GRTBaseprivate
trainingResults (defined in GRT::MLBase)GRT::MLBaseprivate
trainingResultsObserverManager (defined in GRT::MLBase)GRT::MLBaseprivate
useScaling (defined in GRT::MLBase)GRT::MLBaseprivate
useValidationSet (defined in GRT::MLBase)GRT::MLBaseprivate
validationSetSize (defined in GRT::MLBase)GRT::MLBaseprivate
warningLog (defined in GRT::GRTBase)GRT::GRTBaseprivate
~Clusterer(void)GRT::Clustererprivatevirtual
~GRTBase(void)GRT::GRTBaseprivatevirtual
~MLBase(void)GRT::MLBaseprivatevirtual
~Observer() (defined in GRT::Observer< TrainingResult >)GRT::Observer< TrainingResult >inlineprivatevirtual
~Observer() (defined in GRT::Observer< TestInstanceResult >)GRT::Observer< TestInstanceResult >inlineprivatevirtual