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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.
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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.
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This is the complete list of members for DecisionTree, including all inherited members.
| BASE_TYPE_NOT_SET enum value (defined in MLBase) | MLBase | |
| baseType (defined in MLBase) | MLBase | protected |
| BaseTypes enum name (defined in MLBase) | MLBase | |
| BEST_ITERATIVE_SPILT enum value (defined in Tree) | Tree | |
| BEST_RANDOM_SPLIT enum value (defined in Tree) | Tree | |
| bestDistance (defined in Classifier) | Classifier | protected |
| buildTree(ClassificationData &trainingData, DecisionTreeNode *parent, Vector< UINT > features, const Vector< UINT > &classLabels, UINT nodeID) (defined in DecisionTree) | DecisionTree | protected |
| classClusterMean (defined in DecisionTree) | DecisionTree | protected |
| classClusterStdDev (defined in DecisionTree) | DecisionTree | protected |
| classDistances (defined in Classifier) | Classifier | protected |
| CLASSIFIER enum value (defined in MLBase) | MLBase | |
| Classifier(void) | Classifier | |
| classifierMode (defined in Classifier) | Classifier | protected |
| ClassifierModes enum name (defined in Classifier) | Classifier | |
| classifierType (defined in Classifier) | Classifier | protected |
| classLabels (defined in Classifier) | Classifier | protected |
| classLikelihoods (defined in Classifier) | Classifier | protected |
| classType (defined in GRTBase) | GRTBase | protected |
| classType (defined in GRTBase) | GRTBase | protected |
| clear() | DecisionTree | virtual |
| CLUSTERER enum value (defined in MLBase) | MLBase | |
| copyBaseVariables(const Classifier *classifier) | Classifier | |
| Tree::copyGRTBaseVariables(const GRTBase *GRTBase) | GRTBase | |
| Classifier::copyGRTBaseVariables(const GRTBase *GRTBase) | GRTBase | |
| copyMLBaseVariables(const MLBase *mlBase) | MLBase | |
| createInstanceFromString(std::string const &classifierType) | Classifier | static |
| createNewInstance() const | Classifier | |
| debugLog (defined in GRTBase) | GRTBase | protected |
| debugLog (defined in GRTBase) | GRTBase | protected |
| DecisionTree(const DecisionTreeNode &decisionTreeNode=DecisionTreeClusterNode(), const UINT minNumSamplesPerNode=5, const UINT maxDepth=10, const bool removeFeaturesAtEachSpilt=false, const UINT trainingMode=BEST_ITERATIVE_SPILT, const UINT numSplittingSteps=100, const bool useScaling=false) | DecisionTree | |
| DecisionTree(const DecisionTree &rhs) | DecisionTree | |
| decisionTreeNode (defined in DecisionTree) | DecisionTree | protected |
| deepCopy() const | Classifier | |
| deepCopyDecisionTreeNode() const | DecisionTree | |
| deepCopyFrom(const Classifier *classifier) | DecisionTree | virtual |
| deepCopyTree() const | DecisionTree | virtual |
| enableNullRejection(bool useNullRejection) | Classifier | |
| enableScaling(const bool useScaling) | MLBase | |
| errorLog (defined in GRTBase) | GRTBase | protected |
| errorLog (defined in GRTBase) | GRTBase | protected |
| getBaseClassifier() const | Classifier | |
| getBaseType() const | MLBase | |
| getBestDistance() const | Classifier | |
| getClassDistances() const | Classifier | |
| getClassifierPointer() const | Classifier | |
| getClassifierType() const | Classifier | |
| getClassLabelIndexValue(UINT classLabel) const | Classifier | |
| getClassLabels() const | Classifier | |
| getClassLikelihoods() const | Classifier | |
| Tree::getClassType() const | GRTBase | |
| Classifier::getClassType() const | GRTBase | |
| Tree::getGRTBasePointer() | GRTBase | |
| Tree::getGRTBasePointer() const | GRTBase | |
| Classifier::getGRTBasePointer() | GRTBase | |
| Classifier::getGRTBasePointer() const | GRTBase | |
| Tree::getGRTRevison() | GRTBase | static |
| Classifier::getGRTRevison() | GRTBase | static |
| Tree::getGRTVersion(bool returnRevision=true) | GRTBase | static |
| Classifier::getGRTVersion(bool returnRevision=true) | GRTBase | static |
| getId() | DecisionTree | static |
| getInputType() const | MLBase | |
| getIsBaseTypeClassifier() const | MLBase | |
| getIsBaseTypeClusterer() const | MLBase | |
| getIsBaseTypeRegressifier() const | MLBase | |
| Tree::getLastErrorMessage() const | GRTBase | |
| Classifier::getLastErrorMessage() const | GRTBase | |
| Tree::getLastInfoMessage() const | GRTBase | |
| Classifier::getLastInfoMessage() const | GRTBase | |
| Tree::getLastWarningMessage() const | GRTBase | |
| Classifier::getLastWarningMessage() const | GRTBase | |
| getLearningRate() const | MLBase | |
| getMap() | Classifier | inlineprotectedstatic |
| getMaxDepth() const | Tree | |
| getMaximumLikelihood() const | Classifier | |
| getMaxNumEpochs() const | MLBase | |
| getMinChange() const | MLBase | |
| getMinNumEpochs() const | MLBase | |
| getMinNumSamplesPerNode() const | Tree | |
| getMLBasePointer() | MLBase | |
| getMLBasePointer() const | MLBase | |
| getModel(std::ostream &stream) const | DecisionTree | virtual |
| getModelAsString() const | MLBase | virtual |
| getModelTrained() const | MLBase | |
| getNodeDistance(const VectorFloat &x, const UINT nodeID) (defined in DecisionTree) | DecisionTree | protected |
| getNodeDistance(const VectorFloat &x, const VectorFloat &y) (defined in DecisionTree) | DecisionTree | protected |
| getNullRejectionCoeff() const | Classifier | |
| getNullRejectionEnabled() const | Classifier | |
| getNullRejectionThresholds() const | Classifier | |
| getNumClasses() const | Classifier | virtual |
| getNumInputDimensions() const | MLBase | |
| getNumInputFeatures() const | MLBase | |
| getNumOutputDimensions() const | MLBase | |
| getNumSplittingSteps() const | Tree | |
| getNumTrainingIterationsToConverge() const | MLBase | |
| getOutputType() const | MLBase | |
| getPhase() const | Classifier | |
| getPredictedClassLabel() const | Classifier | |
| getPredictedNodeID() const | Tree | |
| getRandomiseTrainingOrder() const | MLBase | |
| getRanges() const | Classifier | |
| getRegisteredClassifiers() | Classifier | static |
| getRemoveFeaturesAtEachSpilt() const | Tree | |
| getRootMeanSquaredTrainingError() const | MLBase | |
| getScalingEnabled() const | MLBase | |
| getSupportsNullRejection() const | Classifier | |
| getTimeseriesCompatible() const | Classifier | inline |
| getTotalSquaredTrainingError() const | MLBase | |
| getTrained() const | MLBase | |
| getTrainingMode() const | Tree | |
| getTrainingResults() const | MLBase | |
| getTree() const | DecisionTree | |
| getUseValidationSet() const | MLBase | |
| getValidationSetAccuracy() const | MLBase | |
| getValidationSetPrecision() const | MLBase | |
| getValidationSetRecall() const | MLBase | |
| getValidationSetSize() const | MLBase | |
| GRT_DEPRECATED_MSG("saveModelToFile(std::string filename) is deprecated, use save(std::string filename) instead", virtual bool saveModelToFile(std::string filename) const ) | MLBase | |
| GRT_DEPRECATED_MSG("saveModelToFile(std::fstream &file) is deprecated, use save(std::fstream &file) instead", virtual bool saveModelToFile(std::fstream &file) const ) | MLBase | |
| GRT_DEPRECATED_MSG("loadModelFromFile(std::string filename) is deprecated, use load(std::string filename) instead", virtual bool loadModelFromFile(std::string filename)) | MLBase | |
| GRT_DEPRECATED_MSG("loadModelFromFile(std::fstream &file) is deprecated, use load(std::fstream &file) instead", virtual bool loadModelFromFile(std::fstream &file)) | MLBase | |
| Tree::GRTBase(void) | GRTBase | |
| Classifier::GRTBase(void) | GRTBase | |
| id (defined in DecisionTree) | DecisionTree | protectedstatic |
| infoLog (defined in GRTBase) | GRTBase | protected |
| infoLog (defined in GRTBase) | GRTBase | protected |
| inputType (defined in MLBase) | MLBase | protected |
| learningRate (defined in MLBase) | MLBase | protected |
| load(std::fstream &file) | DecisionTree | virtual |
| Classifier::load(const std::string filename) | MLBase | virtual |
| loadBaseSettingsFromFile(std::fstream &file) | Classifier | protected |
| loadLegacyModelFromFile_v1(std::fstream &file) | DecisionTree | protected |
| loadLegacyModelFromFile_v2(std::fstream &file) (defined in DecisionTree) | DecisionTree | protected |
| loadLegacyModelFromFile_v3(std::fstream &file) (defined in DecisionTree) | DecisionTree | protected |
| map(VectorFloat inputVector) | MLBase | virtual |
| map_(VectorFloat &inputVector) | MLBase | virtual |
| maxDepth (defined in Tree) | Tree | protected |
| maxLikelihood (defined in Classifier) | Classifier | protected |
| maxNumEpochs (defined in MLBase) | MLBase | protected |
| minChange (defined in MLBase) | MLBase | protected |
| minNumEpochs (defined in MLBase) | MLBase | protected |
| minNumSamplesPerNode (defined in Tree) | Tree | protected |
| MLBase(void) | MLBase | |
| nodeClusters (defined in DecisionTree) | DecisionTree | protected |
| notify(const TrainingResult &data) (defined in Observer< TrainingResult >) | Observer< TrainingResult > | inlinevirtual |
| notify(const TestInstanceResult &data) (defined in Observer< TestInstanceResult >) | Observer< TestInstanceResult > | inlinevirtual |
| notifyTestResultsObservers(const TestInstanceResult &data) | MLBase | |
| notifyTrainingResultsObservers(const TrainingResult &data) | MLBase | |
| nullRejectionCoeff (defined in Classifier) | Classifier | protected |
| nullRejectionThresholds (defined in Classifier) | Classifier | protected |
| NUM_TRAINING_MODES enum value (defined in Tree) | Tree | |
| numClasses (defined in Classifier) | Classifier | protected |
| numInputDimensions (defined in MLBase) | MLBase | protected |
| numOutputDimensions (defined in MLBase) | MLBase | protected |
| numSplittingSteps (defined in Tree) | Tree | protected |
| numTrainingIterationsToConverge (defined in MLBase) | MLBase | protected |
| Observer() (defined in Observer< TrainingResult >) | Observer< TrainingResult > | inline |
| Observer() (defined in Observer< TestInstanceResult >) | Observer< TestInstanceResult > | inline |
| operator=(const DecisionTree &rhs) | DecisionTree | |
| outputType (defined in MLBase) | MLBase | protected |
| phase (defined in Classifier) | Classifier | protected |
| predict(VectorFloat inputVector) | MLBase | virtual |
| predict(MatrixFloat inputMatrix) | MLBase | virtual |
| predict_(VectorFloat &inputVector) | DecisionTree | virtual |
| Classifier::predict_(MatrixFloat &inputMatrix) | MLBase | virtual |
| predictedClassLabel (defined in Classifier) | Classifier | protected |
| Tree::print() const | Tree | virtual |
| Classifier::print() const | MLBase | virtual |
| random (defined in MLBase) | MLBase | protected |
| randomiseTrainingOrder (defined in MLBase) | MLBase | protected |
| ranges (defined in Classifier) | Classifier | protected |
| recomputeNullRejectionThresholds() | DecisionTree | virtual |
| registerModule (defined in DecisionTree) | DecisionTree | protectedstatic |
| registerTestResultsObserver(Observer< TestInstanceResult > &observer) | MLBase | |
| registerTrainingResultsObserver(Observer< TrainingResult > &observer) | MLBase | |
| REGRESSIFIER enum value (defined in MLBase) | MLBase | |
| removeAllTestObservers() | MLBase | |
| removeAllTrainingObservers() | MLBase | |
| removeFeaturesAtEachSpilt (defined in Tree) | Tree | protected |
| removeTestResultsObserver(const Observer< TestInstanceResult > &observer) | MLBase | |
| removeTrainingResultsObserver(const Observer< TrainingResult > &observer) | MLBase | |
| reset() | Classifier | virtual |
| rootMeanSquaredTrainingError (defined in MLBase) | MLBase | protected |
| save(std::fstream &file) const | DecisionTree | virtual |
| Classifier::save(const std::string filename) const | MLBase | virtual |
| saveBaseSettingsToFile(std::fstream &file) const | Classifier | protected |
| scale(const Float &x, const Float &minSource, const Float &maxSource, const Float &minTarget, const Float &maxTarget, const bool constrain=false) | MLBase | inline |
| setDecisionTreeNode(const DecisionTreeNode &node) | DecisionTree | |
| Tree::setErrorLoggingEnabled(const bool loggingEnabled) | GRTBase | |
| Classifier::setErrorLoggingEnabled(const bool loggingEnabled) | GRTBase | |
| Tree::setInfoLoggingEnabled(const bool loggingEnabled) | GRTBase | |
| Classifier::setInfoLoggingEnabled(const bool loggingEnabled) | GRTBase | |
| setLearningRate(const Float learningRate) | MLBase | |
| setMaxDepth(const UINT maxDepth) | Tree | |
| setMaxNumEpochs(const UINT maxNumEpochs) | MLBase | |
| setMinChange(const Float minChange) | MLBase | |
| setMinNumEpochs(const UINT minNumEpochs) | MLBase | |
| setMinNumSamplesPerNode(const UINT minNumSamplesPerNode) | Tree | |
| setNullRejectionCoeff(Float nullRejectionCoeff) | Classifier | virtual |
| setNullRejectionThresholds(VectorFloat newRejectionThresholds) | Classifier | virtual |
| setNumSplittingSteps(const UINT numSplittingSteps) | Tree | |
| setRandomiseTrainingOrder(const bool randomiseTrainingOrder) | MLBase | |
| setRemoveFeaturesAtEachSpilt(const bool removeFeaturesAtEachSpilt) | Tree | |
| setTrainingLoggingEnabled(const bool loggingEnabled) | MLBase | |
| setTrainingMode(const UINT trainingMode) | Tree | |
| setUseValidationSet(const bool useValidationSet) | MLBase | |
| setValidationSetSize(const UINT validationSetSize) | MLBase | |
| Tree::setWarningLoggingEnabled(const bool loggingEnabled) | GRTBase | |
| Classifier::setWarningLoggingEnabled(const bool loggingEnabled) | GRTBase | |
| SQR(const Float &x) const (defined in GRTBase) | GRTBase | inlineprotected |
| SQR(const Float &x) const (defined in GRTBase) | GRTBase | inlineprotected |
| STANDARD_CLASSIFIER_MODE enum value (defined in Classifier) | Classifier | |
| StringClassifierMap typedef | Classifier | |
| supportsNullRejection (defined in Classifier) | Classifier | protected |
| testingLog (defined in GRTBase) | GRTBase | protected |
| testingLog (defined in GRTBase) | GRTBase | protected |
| testResultsObserverManager (defined in MLBase) | MLBase | protected |
| TIMESERIES_CLASSIFIER_MODE enum value (defined in Classifier) | Classifier | |
| totalSquaredTrainingError (defined in MLBase) | MLBase | protected |
| train(ClassificationData trainingData) | MLBase | virtual |
| train(RegressionData trainingData) | MLBase | virtual |
| train(TimeSeriesClassificationData trainingData) | MLBase | virtual |
| train(ClassificationDataStream trainingData) | MLBase | virtual |
| train(UnlabelledData trainingData) | MLBase | virtual |
| train(MatrixFloat data) | MLBase | virtual |
| train_(ClassificationData &trainingData) | DecisionTree | virtual |
| Classifier::train_(RegressionData &trainingData) | MLBase | virtual |
| Classifier::train_(TimeSeriesClassificationData &trainingData) | MLBase | virtual |
| Classifier::train_(ClassificationDataStream &trainingData) | MLBase | virtual |
| Classifier::train_(UnlabelledData &trainingData) | MLBase | virtual |
| Classifier::train_(MatrixFloat &data) | MLBase | virtual |
| trained (defined in MLBase) | MLBase | protected |
| trainingLog (defined in GRTBase) | GRTBase | protected |
| trainingLog (defined in GRTBase) | GRTBase | protected |
| TrainingMode enum name (defined in Tree) | Tree | |
| trainingMode (defined in Tree) | Tree | protected |
| trainingResults (defined in MLBase) | MLBase | protected |
| trainingResultsObserverManager (defined in MLBase) | 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) | Tree | |
| tree (defined in Tree) | Tree | protected |
| useNullRejection (defined in Classifier) | Classifier | protected |
| useScaling (defined in MLBase) | MLBase | protected |
| useValidationSet (defined in MLBase) | MLBase | protected |
| validationSetAccuracy (defined in MLBase) | MLBase | protected |
| validationSetPrecision (defined in MLBase) | MLBase | protected |
| validationSetRecall (defined in MLBase) | MLBase | protected |
| validationSetSize (defined in MLBase) | MLBase | protected |
| warningLog (defined in GRTBase) | GRTBase | protected |
| warningLog (defined in GRTBase) | GRTBase | protected |
| ~Classifier(void) | Classifier | virtual |
| ~DecisionTree(void) | DecisionTree | virtual |
| ~GRTBase(void) | GRTBase | virtual |
| ~MLBase(void) | MLBase | virtual |
| ~Observer() (defined in Observer< TrainingResult >) | Observer< TrainingResult > | inlinevirtual |
| ~Observer() (defined in Observer< TestInstanceResult >) | Observer< TestInstanceResult > | inlinevirtual |
| ~Tree(void) | Tree | virtual |
1.8.11 
