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.
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This is the complete list of members for MinDistModel, including all inherited members.
getClassLabel() const (defined in MinDistModel) | MinDistModel | |
getClusters() const (defined in MinDistModel) | MinDistModel | |
getDistanceMode() const (defined in MinDistModel) | MinDistModel | |
getGamma() const (defined in MinDistModel) | MinDistModel | |
getNumClusters() const (defined in MinDistModel) | MinDistModel | |
getNumFeatures() const (defined in MinDistModel) | MinDistModel | |
getRejectionThreshold() const (defined in MinDistModel) | MinDistModel | |
getTrainingMu() const (defined in MinDistModel) | MinDistModel | |
getTrainingSigma() const (defined in MinDistModel) | MinDistModel | |
MinDistModel() | MinDistModel | |
MinDistModel(const MinDistModel &rhs) | MinDistModel | |
operator=(const MinDistModel &rhs) | MinDistModel | |
predict(const VectorFloat &observation) (defined in MinDistModel) | MinDistModel | |
recomputeThresholdValue() (defined in MinDistModel) | MinDistModel | |
setClassLabel(UINT classLabel) (defined in MinDistModel) | MinDistModel | |
setClusters(MatrixFloat &clusters) (defined in MinDistModel) | MinDistModel | |
setGamma(Float gamma) (defined in MinDistModel) | MinDistModel | |
setRejectionThreshold(Float rejectionThreshold) (defined in MinDistModel) | MinDistModel | |
setTrainingLoggingEnabled(bool enabled) (defined in MinDistModel) | MinDistModel | |
setTrainingMu(Float trainingMu) (defined in MinDistModel) | MinDistModel | |
setTrainingSigma(Float trainingSigma) (defined in MinDistModel) | MinDistModel | |
train(UINT classLabel, MatrixFloat &trainingData, UINT numClusters, Float minChange, UINT maxNumEpochs) (defined in MinDistModel) | MinDistModel | |
~MinDistModel(void) | MinDistModel |