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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.
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This is the complete list of members for GRT::ClusterTree, including all inherited members.
BASE_TYPE_NOT_SET enum value (defined in GRT::MLBase) | GRT::MLBase | |
baseType (defined in GRT::MLBase) | GRT::MLBase | protected |
BaseTypes enum name (defined in GRT::MLBase) | GRT::MLBase | |
BEST_ITERATIVE_SPILT enum value (defined in GRT::Tree) | GRT::Tree | |
BEST_RANDOM_SPLIT enum value (defined in GRT::Tree) | GRT::Tree | |
bestDistance (defined in GRT::Clusterer) | GRT::Clusterer | protected |
buildTree(const MatrixDouble &trainingData, ClusterTreeNode *parent, vector< UINT > features, UINT &clusterLabel, UINT nodeID) (defined in GRT::ClusterTree) | GRT::ClusterTree | protected |
CLASSIFIER enum value (defined in GRT::MLBase) | GRT::MLBase | |
classType (defined in GRT::GRTBase) | GRT::GRTBase | protected |
classType (defined in GRT::GRTBase) | GRT::GRTBase | protected |
clear() | GRT::ClusterTree | virtual |
clusterDistances (defined in GRT::Clusterer) | GRT::Clusterer | protected |
Clusterer(void) | GRT::Clusterer | |
CLUSTERER enum value (defined in GRT::MLBase) | GRT::MLBase | |
clustererType (defined in GRT::Clusterer) | GRT::Clusterer | protected |
clusterLabels (defined in GRT::Clusterer) | GRT::Clusterer | protected |
clusterLikelihoods (defined in GRT::Clusterer) | GRT::Clusterer | protected |
ClusterTree(const UINT numSplittingSteps=100, const UINT minNumSamplesPerNode=5, const UINT maxDepth=10, const bool removeFeaturesAtEachSpilt=false, const UINT trainingMode=BEST_ITERATIVE_SPILT, const bool useScaling=false, const double minRMSErrorPerNode=0.01) | GRT::ClusterTree | |
ClusterTree(const ClusterTree &rhs) | GRT::ClusterTree | |
computeBestSpilt(const MatrixDouble &trainingData, const vector< UINT > &features, UINT &featureIndex, double &threshold, double &minError) (defined in GRT::ClusterTree) | GRT::ClusterTree | protected |
computeBestSpiltBestIterativeSpilt(const MatrixDouble &trainingData, const vector< UINT > &features, UINT &featureIndex, double &threshold, double &minError) (defined in GRT::ClusterTree) | GRT::ClusterTree | protected |
computeBestSpiltBestRandomSpilt(const MatrixDouble &trainingData, const vector< UINT > &features, UINT &featureIndex, double &threshold, double &minError) (defined in GRT::ClusterTree) | GRT::ClusterTree | protected |
converged (defined in GRT::Clusterer) | GRT::Clusterer | protected |
copyBaseVariables(const Clusterer *Clusterer) | GRT::Clusterer | |
GRT::copyGRTBaseVariables(const GRTBase *GRTBase) | GRT::GRTBase | |
GRT::Clusterer::copyGRTBaseVariables(const GRTBase *GRTBase) | GRT::GRTBase | |
copyMLBaseVariables(const MLBase *mlBase) | GRT::MLBase | |
createInstanceFromString(string const &ClustererType) | GRT::Clusterer | static |
createNewInstance() const | GRT::Clusterer | |
debugLog (defined in GRT::GRTBase) | GRT::GRTBase | protected |
debugLog (defined in GRT::GRTBase) | GRT::GRTBase | protected |
deepCopy() const | GRT::Clusterer | |
deepCopyFrom(const Clusterer *cluster) | GRT::ClusterTree | virtual |
deepCopyTree() const | GRT::ClusterTree | virtual |
enableScaling(bool useScaling) | GRT::MLBase | |
errorLog (defined in GRT::GRTBase) | GRT::GRTBase | protected |
errorLog (defined in GRT::GRTBase) | GRT::GRTBase | protected |
getBaseClusterer() const | GRT::Clusterer | |
getBaseType() const | GRT::MLBase | |
getBestDistance() const | GRT::Clusterer | |
GRT::getClassType() const | GRT::GRTBase | |
GRT::Clusterer::getClassType() const | GRT::GRTBase | |
getClusterDistances() const | GRT::Clusterer | |
getClustererType() const | GRT::Clusterer | |
getClusterLabels() const | GRT::Clusterer | |
getClusterLikelihoods() const | GRT::Clusterer | |
getConverged() const | GRT::Clusterer | |
GRT::getGRTBasePointer() | GRT::GRTBase | |
GRT::getGRTBasePointer() const | GRT::GRTBase | |
GRT::Clusterer::getGRTBasePointer() | GRT::GRTBase | |
GRT::Clusterer::getGRTBasePointer() const | GRT::GRTBase | |
GRT::getGRTRevison() | GRT::GRTBase | static |
GRT::Clusterer::getGRTRevison() | GRT::GRTBase | static |
GRT::getGRTVersion(bool returnRevision=true) | GRT::GRTBase | static |
GRT::Clusterer::getGRTVersion(bool returnRevision=true) | GRT::GRTBase | static |
getIsBaseTypeClassifier() const | GRT::MLBase | |
getIsBaseTypeClusterer() const | GRT::MLBase | |
getIsBaseTypeRegressifier() const | GRT::MLBase | |
GRT::getLastErrorMessage() const | GRT::GRTBase | |
GRT::Clusterer::getLastErrorMessage() const | GRT::GRTBase | |
GRT::getLastInfoMessage() const | GRT::GRTBase | |
GRT::Clusterer::getLastInfoMessage() const | GRT::GRTBase | |
GRT::getLastWarningMessage() const | GRT::GRTBase | |
GRT::Clusterer::getLastWarningMessage() const | GRT::GRTBase | |
getLearningRate() const | GRT::MLBase | |
getMap() (defined in GRT::Clusterer) | GRT::Clusterer | inlineprotectedstatic |
getMaxDepth() const | GRT::Tree | |
getMaximumLikelihood() const | GRT::Clusterer | |
getMaxNumEpochs() const | GRT::MLBase | |
getMinChange() const | GRT::MLBase | |
getMinNumEpochs() const | GRT::MLBase | |
getMinNumSamplesPerNode() const | GRT::Tree | |
getMinRMSErrorPerNode() const | GRT::ClusterTree | |
getMLBasePointer() | GRT::MLBase | |
getMLBasePointer() const | GRT::MLBase | |
GRT::getModel(ostream &stream) const | GRT::Tree | virtual |
GRT::Clusterer::getModel(ostream &stream) const | GRT::MLBase | virtual |
getModelAsString() const | GRT::MLBase | virtual |
getModelTrained() const | GRT::MLBase | |
getNumClusters() const | GRT::Clusterer | |
getNumInputDimensions() const | GRT::MLBase | |
getNumInputFeatures() const | GRT::MLBase | |
getNumOutputDimensions() const | GRT::MLBase | |
getNumSplittingSteps() const | GRT::Tree | |
getNumTrainingIterationsToConverge() const | GRT::MLBase | |
getPredictedClusterLabel() const | GRT::ClusterTree | |
getPredictedNodeID() const | GRT::Tree | |
getRandomiseTrainingOrder() const | GRT::MLBase | |
getRegisteredClusterers() | GRT::Clusterer | static |
getRemoveFeaturesAtEachSpilt() const | GRT::Tree | |
getRootMeanSquaredTrainingError() const | GRT::MLBase | |
getScalingEnabled() const | GRT::MLBase | |
getTotalSquaredTrainingError() const | GRT::MLBase | |
getTrained() const | GRT::MLBase | |
getTrainingMode() const | GRT::Tree | |
getTrainingResults() const | GRT::MLBase | |
getTree() const | GRT::ClusterTree | |
getUseValidationSet() const | GRT::MLBase | |
getValidationSetSize() const | GRT::MLBase | |
GRT::GRTBase(void) | GRT::GRTBase | |
GRT::Clusterer::GRTBase(void) | GRT::GRTBase | |
infoLog (defined in GRT::GRTBase) | GRT::GRTBase | protected |
infoLog (defined in GRT::GRTBase) | GRT::GRTBase | protected |
learningRate (defined in GRT::MLBase) | GRT::MLBase | protected |
load(const string filename) | GRT::MLBase | virtual |
loadBaseSettingsFromFile(fstream &file) | GRT::MLBase | protected |
loadClustererSettingsFromFile(fstream &file) | GRT::Clusterer | protected |
loadModelFromFile(fstream &file) | GRT::ClusterTree | virtual |
GRT::Clusterer::loadModelFromFile(string filename) | GRT::MLBase | virtual |
map(VectorDouble inputVector) | GRT::MLBase | virtual |
map_(VectorDouble &inputVector) | GRT::MLBase | virtual |
maxDepth (defined in GRT::Tree) | GRT::Tree | protected |
maxLikelihood (defined in GRT::Clusterer) | GRT::Clusterer | protected |
maxNumEpochs (defined in GRT::MLBase) | GRT::MLBase | protected |
minChange (defined in GRT::MLBase) | GRT::MLBase | protected |
minNumEpochs (defined in GRT::MLBase) | GRT::MLBase | protected |
minNumSamplesPerNode (defined in GRT::Tree) | GRT::Tree | protected |
minRMSErrorPerNode (defined in GRT::ClusterTree) | GRT::ClusterTree | protected |
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 | |
NUM_TRAINING_MODES enum value (defined in GRT::Tree) | GRT::Tree | |
numClusters | GRT::Clusterer | protected |
numInputDimensions (defined in GRT::MLBase) | GRT::MLBase | protected |
numOutputDimensions (defined in GRT::MLBase) | GRT::MLBase | protected |
numSplittingSteps (defined in GRT::Tree) | GRT::Tree | protected |
numTrainingIterationsToConverge (defined in GRT::MLBase) | GRT::MLBase | protected |
Observer() (defined in GRT::Observer< TrainingResult >) | GRT::Observer< TrainingResult > | inline |
Observer() (defined in GRT::Observer< TestInstanceResult >) | GRT::Observer< TestInstanceResult > | inline |
operator=(const ClusterTree &rhs) | GRT::ClusterTree | |
predict(VectorDouble inputVector) | GRT::MLBase | virtual |
predict(MatrixDouble inputMatrix) | GRT::MLBase | virtual |
predict_(VectorDouble &inputVector) | GRT::ClusterTree | virtual |
GRT::Clusterer::predict_(MatrixDouble &inputMatrix) | GRT::MLBase | virtual |
predictedClusterLabel | GRT::Clusterer | protected |
print() const | GRT::ClusterTree | virtual |
random (defined in GRT::MLBase) | GRT::MLBase | protected |
randomiseTrainingOrder (defined in GRT::MLBase) | GRT::MLBase | protected |
ranges (defined in GRT::Clusterer) | GRT::Clusterer | protected |
registerModule (defined in GRT::ClusterTree) | GRT::ClusterTree | protectedstatic |
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 | |
removeFeaturesAtEachSpilt (defined in GRT::Tree) | GRT::Tree | protected |
removeTestResultsObserver(const Observer< TestInstanceResult > &observer) | GRT::MLBase | |
removeTrainingResultsObserver(const Observer< TrainingResult > &observer) | GRT::MLBase | |
reset() | GRT::Clusterer | virtual |
rootMeanSquaredTrainingError (defined in GRT::MLBase) | GRT::MLBase | protected |
save(const string filename) const | GRT::MLBase | virtual |
saveBaseSettingsToFile(fstream &file) const | GRT::MLBase | protected |
saveClustererSettingsToFile(fstream &file) const | GRT::Clusterer | protected |
saveModelToFile(fstream &file) const | GRT::ClusterTree | virtual |
GRT::Clusterer::saveModelToFile(string filename) const | GRT::MLBase | virtual |
scale(const double &x, const double &minSource, const double &maxSource, const double &minTarget, const double &maxTarget, const bool constrain=false) | GRT::MLBase | inline |
setLearningRate(double learningRate) | GRT::MLBase | |
setMaxDepth(const UINT maxDepth) | GRT::Tree | |
setMaxNumEpochs(const UINT maxNumEpochs) | GRT::MLBase | |
setMinChange(const double minChange) | GRT::MLBase | |
setMinNumEpochs(const UINT minNumEpochs) | GRT::MLBase | |
setMinNumSamplesPerNode(const UINT minNumSamplesPerNode) | GRT::Tree | |
setMinRMSErrorPerNode(const double minRMSErrorPerNode) | GRT::ClusterTree | |
setNumClusters(const UINT numClusters) | GRT::Clusterer | |
setNumSplittingSteps(const UINT numSplittingSteps) | GRT::Tree | |
setRandomiseTrainingOrder(const bool randomiseTrainingOrder) | GRT::MLBase | |
setRemoveFeaturesAtEachSpilt(const bool removeFeaturesAtEachSpilt) | GRT::Tree | |
setTrainingMode(const UINT trainingMode) | GRT::Tree | |
setUseValidationSet(const bool useValidationSet) | GRT::MLBase | |
setValidationSetSize(const UINT validationSetSize) | GRT::MLBase | |
SQR(const double &x) const (defined in GRT::GRTBase) | GRT::GRTBase | inlineprotected |
SQR(const double &x) const (defined in GRT::GRTBase) | GRT::GRTBase | inlineprotected |
StringClustererMap typedef | GRT::Clusterer | |
testingLog (defined in GRT::GRTBase) | GRT::GRTBase | protected |
testingLog (defined in GRT::GRTBase) | GRT::GRTBase | protected |
testResultsObserverManager (defined in GRT::MLBase) | GRT::MLBase | protected |
totalSquaredTrainingError (defined in GRT::MLBase) | GRT::MLBase | protected |
train(ClassificationData trainingData) | GRT::MLBase | virtual |
train(RegressionData trainingData) | GRT::MLBase | virtual |
train(TimeSeriesClassificationData trainingData) | GRT::MLBase | virtual |
train(TimeSeriesClassificationDataStream trainingData) | GRT::MLBase | virtual |
train(UnlabelledData trainingData) | GRT::MLBase | virtual |
train(MatrixDouble data) | GRT::MLBase | virtual |
train_(MatrixDouble &trainingData) | GRT::ClusterTree | virtual |
GRT::Clusterer::train_(ClassificationData &trainingData) | GRT::Clusterer | virtual |
GRT::Clusterer::train_(UnlabelledData &trainingData) | GRT::Clusterer | virtual |
GRT::MLBase::train_(RegressionData &trainingData) | GRT::MLBase | virtual |
GRT::MLBase::train_(TimeSeriesClassificationData &trainingData) | GRT::MLBase | virtual |
GRT::MLBase::train_(TimeSeriesClassificationDataStream &trainingData) | GRT::MLBase | virtual |
trained (defined in GRT::MLBase) | GRT::MLBase | protected |
trainingLog (defined in GRT::GRTBase) | GRT::GRTBase | protected |
trainingLog (defined in GRT::GRTBase) | GRT::GRTBase | protected |
trainingMode (defined in GRT::Tree) | GRT::Tree | protected |
TrainingMode enum name (defined in GRT::Tree) | GRT::Tree | |
trainingResults (defined in GRT::MLBase) | GRT::MLBase | protected |
trainingResultsObserverManager (defined in GRT::MLBase) | GRT::MLBase | protected |
Tree(const UINT numSplittingSteps=100, const UINT minNumSamplesPerNode=5, const UINT maxDepth=10, const bool removeFeaturesAtEachSpilt=false, const UINT trainingMode=BEST_ITERATIVE_SPILT) | GRT::Tree | |
tree (defined in GRT::Tree) | GRT::Tree | protected |
useScaling (defined in GRT::MLBase) | GRT::MLBase | protected |
useValidationSet (defined in GRT::MLBase) | GRT::MLBase | protected |
validationSetSize (defined in GRT::MLBase) | GRT::MLBase | protected |
warningLog (defined in GRT::GRTBase) | GRT::GRTBase | protected |
warningLog (defined in GRT::GRTBase) | GRT::GRTBase | protected |
~Clusterer(void) | GRT::Clusterer | virtual |
~ClusterTree(void) | GRT::ClusterTree | virtual |
~GRTBase(void) | GRT::GRTBase | virtual |
~MLBase(void) | GRT::MLBase | virtual |
~Observer() (defined in GRT::Observer< TrainingResult >) | GRT::Observer< TrainingResult > | inlinevirtual |
~Observer() (defined in GRT::Observer< TestInstanceResult >) | GRT::Observer< TestInstanceResult > | inlinevirtual |
~Tree(void) | GRT::Tree | virtual |