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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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This is the complete list of members for ANBC_Model, including all inherited members.
| ANBC_Model(void) (defined in ANBC_Model) | ANBC_Model | inline |
| classLabel (defined in ANBC_Model) | ANBC_Model | |
| gamma (defined in ANBC_Model) | ANBC_Model | |
| gauss(const Float x, const Float mu, const Float sigma) (defined in ANBC_Model) | ANBC_Model | inline |
| mu (defined in ANBC_Model) | ANBC_Model | |
| N (defined in ANBC_Model) | ANBC_Model | |
| predict(const VectorFloat &x) (defined in ANBC_Model) | ANBC_Model | |
| predictUnnormed(const VectorFloat &x) (defined in ANBC_Model) | ANBC_Model | |
| recomputeThresholdValue(const Float gamma) (defined in ANBC_Model) | ANBC_Model | |
| sigma (defined in ANBC_Model) | ANBC_Model | |
| threshold (defined in ANBC_Model) | ANBC_Model | |
| train(const UINT classLabel, const MatrixDouble &trainingData, const VectorFloat &weightsVector) (defined in ANBC_Model) | ANBC_Model | |
| trainingMu (defined in ANBC_Model) | ANBC_Model | |
| trainingSigma (defined in ANBC_Model) | ANBC_Model | |
| unnormedGauss(const Float x, const Float mu, const Float sigma) (defined in ANBC_Model) | ANBC_Model | inline |
| weights (defined in ANBC_Model) | ANBC_Model | |
| ~ANBC_Model(void) (defined in ANBC_Model) | ANBC_Model | inline |