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GestureRecognitionToolkit
Version: 0.1.0
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: 0.1.0
The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, c++ machine learning library for real-time gesture recognition.
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Public Member Functions | |
| RegisterClassifierModule (std::string const &newClassificationModuleName) | |
 Public Member Functions inherited from Classifier | |
| Classifier (void) | |
| virtual | ~Classifier (void) |
| virtual bool | deepCopyFrom (const Classifier *classifier) |
| bool | copyBaseVariables (const Classifier *classifier) |
| virtual bool | reset () |
| virtual bool | clear () |
| std::string | getClassifierType () const |
| bool | getSupportsNullRejection () const |
| bool | getNullRejectionEnabled () const |
| Float | getNullRejectionCoeff () const |
| Float | getMaximumLikelihood () const |
| Float | getBestDistance () const |
| Float | getPhase () const |
| virtual UINT | getNumClasses () const |
| UINT | getClassLabelIndexValue (UINT classLabel) const |
| UINT | getPredictedClassLabel () const |
| VectorFloat | getClassLikelihoods () const |
| VectorFloat | getClassDistances () const |
| VectorFloat | getNullRejectionThresholds () const |
| Vector< UINT > | getClassLabels () const |
| Vector< MinMax > | getRanges () const |
| bool | enableNullRejection (bool useNullRejection) |
| virtual bool | setNullRejectionCoeff (Float nullRejectionCoeff) |
| virtual bool | setNullRejectionThresholds (VectorFloat newRejectionThresholds) |
| virtual bool | recomputeNullRejectionThresholds () |
| bool | getTimeseriesCompatible () const |
| Classifier * | createNewInstance () const |
| Classifier * | deepCopy () const |
| const Classifier * | getClassifierPointer () const |
| const Classifier & | getBaseClassifier () const |
| Public Member Functions inherited from MLBase | |
| MLBase (void) | |
| virtual | ~MLBase (void) |
| bool | copyMLBaseVariables (const MLBase *mlBase) |
| virtual bool | train (ClassificationData trainingData) |
| virtual bool | train_ (ClassificationData &trainingData) |
| virtual bool | train (RegressionData trainingData) |
| virtual bool | train_ (RegressionData &trainingData) |
| virtual bool | train (TimeSeriesClassificationData trainingData) |
| virtual bool | train_ (TimeSeriesClassificationData &trainingData) |
| virtual bool | train (ClassificationDataStream trainingData) |
| virtual bool | train_ (ClassificationDataStream &trainingData) |
| virtual bool | train (UnlabelledData trainingData) |
| virtual bool | train_ (UnlabelledData &trainingData) |
| virtual bool | train (MatrixFloat data) |
| virtual bool | train_ (MatrixFloat &data) |
| virtual bool | predict (VectorFloat inputVector) |
| virtual bool | predict_ (VectorFloat &inputVector) |
| virtual bool | predict (MatrixFloat inputMatrix) |
| virtual bool | predict_ (MatrixFloat &inputMatrix) |
| virtual bool | map (VectorFloat inputVector) |
| virtual bool | map_ (VectorFloat &inputVector) |
| virtual bool | print () const |
| virtual bool | save (const std::string filename) const |
| virtual bool | load (const std::string filename) |
| virtual bool | saveModelToFile (std::string filename) const |
| virtual bool | saveModelToFile (std::fstream &file) const |
| virtual bool | loadModelFromFile (std::string filename) |
| virtual bool | loadModelFromFile (std::fstream &file) |
| virtual bool | getModel (std::ostream &stream) const |
| Float | scale (const Float &x, const Float &minSource, const Float &maxSource, const Float &minTarget, const Float &maxTarget, const bool constrain=false) |
| virtual std::string | getModelAsString () const |
| DataType | getInputType () const |
| DataType | getOutputType () const |
| UINT | getBaseType () const |
| UINT | getNumInputFeatures () const |
| UINT | getNumInputDimensions () const |
| UINT | getNumOutputDimensions () const |
| UINT | getMinNumEpochs () const |
| UINT | getMaxNumEpochs () const |
| UINT | getValidationSetSize () const |
| UINT | getNumTrainingIterationsToConverge () const |
| Float | getMinChange () const |
| Float | getLearningRate () const |
| Float | getRootMeanSquaredTrainingError () const |
| Float | getTotalSquaredTrainingError () const |
| Float | getValidationSetAccuracy () const |
| VectorFloat | getValidationSetPrecision () const |
| VectorFloat | getValidationSetRecall () const |
| bool | getUseValidationSet () const |
| bool | getRandomiseTrainingOrder () const |
| bool | getTrained () const |
| bool | getModelTrained () const |
| bool | getScalingEnabled () const |
| bool | getIsBaseTypeClassifier () const |
| bool | getIsBaseTypeRegressifier () const |
| bool | getIsBaseTypeClusterer () const |
| bool | enableScaling (const bool useScaling) |
| bool | setMaxNumEpochs (const UINT maxNumEpochs) |
| bool | setMinNumEpochs (const UINT minNumEpochs) |
| bool | setMinChange (const Float minChange) |
| bool | setLearningRate (const Float learningRate) |
| bool | setUseValidationSet (const bool useValidationSet) |
| bool | setValidationSetSize (const UINT validationSetSize) |
| bool | setRandomiseTrainingOrder (const bool randomiseTrainingOrder) |
| bool | setTrainingLoggingEnabled (const bool loggingEnabled) |
| bool | registerTrainingResultsObserver (Observer< TrainingResult > &observer) |
| bool | registerTestResultsObserver (Observer< TestInstanceResult > &observer) |
| bool | removeTrainingResultsObserver (const Observer< TrainingResult > &observer) |
| bool | removeTestResultsObserver (const Observer< TestInstanceResult > &observer) |
| bool | removeAllTrainingObservers () |
| bool | removeAllTestObservers () |
| bool | notifyTrainingResultsObservers (const TrainingResult &data) |
| bool | notifyTestResultsObservers (const TestInstanceResult &data) |
| MLBase * | getMLBasePointer () |
| const MLBase * | getMLBasePointer () const |
| Vector< TrainingResult > | getTrainingResults () const |
| Public Member Functions inherited from GRTBase | |
| GRTBase (void) | |
| virtual | ~GRTBase (void) |
| bool | copyGRTBaseVariables (const GRTBase *GRTBase) |
| std::string | getClassType () const |
| std::string | getLastWarningMessage () const |
| std::string | getLastErrorMessage () const |
| std::string | getLastInfoMessage () const |
| bool | setInfoLoggingEnabled (const bool loggingEnabled) |
| bool | setWarningLoggingEnabled (const bool loggingEnabled) |
| bool | setErrorLoggingEnabled (const bool loggingEnabled) |
| GRTBase * | getGRTBasePointer () |
| const GRTBase * | getGRTBasePointer () const |
| Public Member Functions inherited from Observer< TrainingResult > | |
| virtual void | notify (const TrainingResult &data) |
| Public Member Functions inherited from Observer< TestInstanceResult > | |
| virtual void | notify (const TestInstanceResult &data) |
Additional Inherited Members | |
| Public Types inherited from Classifier | |
| typedef std::map< std::string, Classifier *(*)() > | StringClassifierMap |
| Public Types inherited from MLBase | |
| enum | BaseTypes { BASE_TYPE_NOT_SET =0, CLASSIFIER, REGRESSIFIER, CLUSTERER } |
| Static Public Member Functions inherited from Classifier | |
| static Classifier * | createInstanceFromString (std::string const &classifierType) |
| static Vector< std::string > | getRegisteredClassifiers () |
| Static Public Member Functions inherited from GRTBase | |
| static std::string | getGRTVersion (bool returnRevision=true) |
| static std::string | getGRTRevison () |
| Protected Types inherited from Classifier | |
| enum | ClassifierModes { STANDARD_CLASSIFIER_MODE =0, TIMESERIES_CLASSIFIER_MODE } |
| Protected Member Functions inherited from Classifier | |
| bool | saveBaseSettingsToFile (std::fstream &file) const |
| bool | loadBaseSettingsFromFile (std::fstream &file) |
| Protected Member Functions inherited from MLBase | |
| bool | saveBaseSettingsToFile (std::fstream &file) const |
| bool | loadBaseSettingsFromFile (std::fstream &file) |
| Protected Member Functions inherited from GRTBase | |
| Float | SQR (const Float &x) const |
| Static Protected Member Functions inherited from Classifier | |
| static StringClassifierMap * | getMap () |
| Protected Attributes inherited from Classifier | |
| std::string | classifierType |
| bool | supportsNullRejection |
| bool | useNullRejection |
| UINT | numClasses |
| UINT | predictedClassLabel |
| UINT | classifierMode |
| Float | nullRejectionCoeff |
| Float | maxLikelihood |
| Float | bestDistance |
| Float | phase |
| VectorFloat | classLikelihoods |
| VectorFloat | classDistances |
| VectorFloat | nullRejectionThresholds |
| Vector< UINT > | classLabels |
| Vector< MinMax > | ranges |
| Protected Attributes inherited from MLBase | |
| bool | trained |
| bool | useScaling |
| DataType | inputType |
| DataType | outputType |
| UINT | baseType |
| UINT | numInputDimensions |
| UINT | numOutputDimensions |
| UINT | numTrainingIterationsToConverge |
| UINT | minNumEpochs |
| UINT | maxNumEpochs |
| UINT | validationSetSize |
| Float | learningRate |
| Float | minChange |
| Float | rootMeanSquaredTrainingError |
| Float | totalSquaredTrainingError |
| Float | validationSetAccuracy |
| bool | useValidationSet |
| bool | randomiseTrainingOrder |
| VectorFloat | validationSetPrecision |
| VectorFloat | validationSetRecall |
| Random | random |
| std::vector< TrainingResult > | trainingResults |
| TrainingResultsObserverManager | trainingResultsObserverManager |
| TestResultsObserverManager | testResultsObserverManager |
| Protected Attributes inherited from GRTBase | |
| std::string | classType |
| DebugLog | debugLog |
| ErrorLog | errorLog |
| InfoLog | infoLog |
| TrainingLog | trainingLog |
| TestingLog | testingLog |
| WarningLog | warningLog |
Definition at line 343 of file Classifier.h.
1.8.11 
