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::RadialBasisFunction Member List

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

alpha (defined in GRT::RadialBasisFunction)GRT::RadialBasisFunctionprotected
copyBaseVariables(const WeakClassifier *weakClassifer)GRT::WeakClassifier
createInstanceFromString(string const &weakClassifierType)GRT::WeakClassifierstatic
createNewInstance() const GRT::WeakClassifier
deepCopyFrom(const WeakClassifier *weakClassifer)GRT::RadialBasisFunctionvirtual
errorLog (defined in GRT::WeakClassifier)GRT::WeakClassifierprotected
gamma (defined in GRT::RadialBasisFunction)GRT::RadialBasisFunctionprotected
getAlpha() const GRT::RadialBasisFunction
getMap() (defined in GRT::WeakClassifier)GRT::WeakClassifierinlineprotectedstatic
getMaxAlphaSearchRange() const GRT::RadialBasisFunction
getMinAlphaSearchRange() const GRT::RadialBasisFunction
getNegativeClassLabel() const GRT::WeakClassifierinlinevirtual
getNumInputDimensions() const GRT::WeakClassifierinline
getNumSteps() const GRT::RadialBasisFunction
getPositiveClassificationThreshold() const GRT::RadialBasisFunction
getPositiveClassLabel() const GRT::WeakClassifierinlinevirtual
getRBFCentre() const GRT::RadialBasisFunction
getTrained() const GRT::WeakClassifierinline
getWeakClassifierType() const GRT::WeakClassifierinline
loadModelFromFile(fstream &file)GRT::RadialBasisFunctionvirtual
maxAlphaSearchRange (defined in GRT::RadialBasisFunction)GRT::RadialBasisFunctionprotected
minAlphaSearchRange (defined in GRT::RadialBasisFunction)GRT::RadialBasisFunctionprotected
numInputDimensionsGRT::WeakClassifierprotected
numSteps (defined in GRT::RadialBasisFunction)GRT::RadialBasisFunctionprotected
operator=(const RadialBasisFunction &rhs)GRT::RadialBasisFunction
GRT::WeakClassifier::operator=(const WeakClassifier &rhs)GRT::WeakClassifier
positiveClassificationThreshold (defined in GRT::RadialBasisFunction)GRT::RadialBasisFunctionprotected
predict(const VectorDouble &x)GRT::RadialBasisFunctionvirtual
print() const GRT::RadialBasisFunctionvirtual
RadialBasisFunction(UINT numSteps=100, double positiveClassificationThreshold=0.9, double minAlphaSearchRange=0.001, double maxAlphaSearchRange=1.0)GRT::RadialBasisFunction
RadialBasisFunction(const RadialBasisFunction &rhs)GRT::RadialBasisFunction
rbf(const VectorDouble &a, const VectorDouble &b) (defined in GRT::RadialBasisFunction)GRT::RadialBasisFunctionprotected
rbfCentre (defined in GRT::RadialBasisFunction)GRT::RadialBasisFunctionprotected
registerModuleGRT::RadialBasisFunctionprotectedstatic
saveModelToFile(fstream &file) const GRT::RadialBasisFunctionvirtual
StringWeakClassifierMap typedefGRT::WeakClassifier
train(ClassificationData &trainingData, VectorDouble &weights)GRT::RadialBasisFunctionvirtual
trainedGRT::WeakClassifierprotected
trainingLog (defined in GRT::WeakClassifier)GRT::WeakClassifierprotected
warningLog (defined in GRT::WeakClassifier)GRT::WeakClassifierprotected
WeakClassifier()GRT::WeakClassifier
WeakClassifier(const WeakClassifier &rhs)GRT::WeakClassifierinline
weakClassifierTypeGRT::WeakClassifierprotected
~RadialBasisFunction()GRT::RadialBasisFunctionvirtual
~WeakClassifier()GRT::WeakClassifiervirtual