GestureRecognitionToolkit  Version: 0.2.5
The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, c++ machine learning library for real-time gesture recognition.
RadialBasisFunction Member List

This is the complete list of members for RadialBasisFunction, including all inherited members.

alpha (defined in RadialBasisFunction)RadialBasisFunctionprotected
copyBaseVariables(const WeakClassifier *weakClassifer)WeakClassifier
createInstanceFromString(std::string const &weakClassifierType)WeakClassifierstatic
createNewInstance() const WeakClassifier
deepCopyFrom(const WeakClassifier *weakClassifer)RadialBasisFunctionvirtual
errorLog (defined in WeakClassifier)WeakClassifierprotected
gamma (defined in RadialBasisFunction)RadialBasisFunctionprotected
getAlpha() const RadialBasisFunction
getMap() (defined in WeakClassifier)WeakClassifierinlineprotectedstatic
getMaxAlphaSearchRange() const RadialBasisFunction
getMinAlphaSearchRange() const RadialBasisFunction
getNegativeClassLabel() const WeakClassifierinlinevirtual
getNumInputDimensions() const WeakClassifierinline
getNumSteps() const RadialBasisFunction
getPositiveClassificationThreshold() const RadialBasisFunction
getPositiveClassLabel() const WeakClassifierinlinevirtual
getRBFCentre() const RadialBasisFunction
getTrained() const WeakClassifierinline
getTrainingLoggingEnabled() const (defined in WeakClassifier)WeakClassifierinline
getWeakClassifierType() const WeakClassifierinline
loadModelFromFile(std::fstream &file)RadialBasisFunctionvirtual
maxAlphaSearchRange (defined in RadialBasisFunction)RadialBasisFunctionprotected
minAlphaSearchRange (defined in RadialBasisFunction)RadialBasisFunctionprotected
numInputDimensionsWeakClassifierprotected
numSteps (defined in RadialBasisFunction)RadialBasisFunctionprotected
operator=(const RadialBasisFunction &rhs)RadialBasisFunction
WeakClassifier::operator=(const WeakClassifier &rhs)WeakClassifier
positiveClassificationThreshold (defined in RadialBasisFunction)RadialBasisFunctionprotected
predict(const VectorFloat &x)RadialBasisFunctionvirtual
print() const RadialBasisFunctionvirtual
RadialBasisFunction(UINT numSteps=100, Float positiveClassificationThreshold=0.9, Float minAlphaSearchRange=0.001, Float maxAlphaSearchRange=1.0)RadialBasisFunction
RadialBasisFunction(const RadialBasisFunction &rhs)RadialBasisFunction
rbf(const VectorFloat &a, const VectorFloat &b) (defined in RadialBasisFunction)RadialBasisFunctionprotected
rbfCentre (defined in RadialBasisFunction)RadialBasisFunctionprotected
registerModuleRadialBasisFunctionprotectedstatic
saveModelToFile(std::fstream &file) const RadialBasisFunctionvirtual
setTrainingLoggingEnabled(const bool enabled) (defined in WeakClassifier)WeakClassifierinline
StringWeakClassifierMap typedefWeakClassifier
train(ClassificationData &trainingData, VectorFloat &weights)RadialBasisFunctionvirtual
trainedWeakClassifierprotected
trainingLog (defined in WeakClassifier)WeakClassifierprotected
warningLog (defined in WeakClassifier)WeakClassifierprotected
WeakClassifier()WeakClassifier
WeakClassifier(const WeakClassifier &rhs)WeakClassifierinline
weakClassifierTypeWeakClassifierprotected
~RadialBasisFunction()RadialBasisFunctionvirtual
~WeakClassifier()WeakClassifiervirtual