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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.
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This is the complete list of members for GRT::Random, including all inherited members.
getRandomNumberGauss(double mu=0.0, double sigma=1.0) | GRT::Random | inline |
getRandomNumberInt(int minRange, int maxRange) | GRT::Random | inline |
getRandomNumberUniform(double minRange=0.0, double maxRange=1.0) | GRT::Random | inline |
getRandomNumberWeighted(const vector< int > &values, const vector< double > &weights) | GRT::Random | inline |
getRandomNumberWeighted(vector< IndexedDouble > weightedValues) | GRT::Random | inline |
getRandomNumberWeighted(vector< IndexedDouble > &weightedValues, vector< double > &x) | GRT::Random | inline |
getRandomSubset(const unsigned int startRange, const unsigned int endRange, const unsigned int subsetSize) | GRT::Random | inline |
getRandomVectorGauss(UINT numDimensions, double mu=0.0, double sigma=1.0) | GRT::Random | inline |
getRandomVectorUniform(UINT numDimensions, double minRange=0.0, double maxRange=1.0) | GRT::Random | inline |
Random(unsigned long long seed=0) | GRT::Random | inline |
setSeed(unsigned long long seed=0) | GRT::Random | inline |
~Random() | GRT::Random | inline |