alpha | mlpack::distribution::GammaDistribution | private |
Alpha(const size_t dim) const | mlpack::distribution::GammaDistribution | inline |
Alpha(const size_t dim) | mlpack::distribution::GammaDistribution | inline |
beta | mlpack::distribution::GammaDistribution | private |
Beta(const size_t dim) const | mlpack::distribution::GammaDistribution | inline |
Beta(const size_t dim) | mlpack::distribution::GammaDistribution | inline |
Converged(const double aOld, const double aNew, const double tol) | mlpack::distribution::GammaDistribution | inlineprivate |
Dimensionality() const | mlpack::distribution::GammaDistribution | inline |
GammaDistribution(const size_t dimensionality=0) | mlpack::distribution::GammaDistribution | |
GammaDistribution(const arma::mat &data, const double tol=1e-8) | mlpack::distribution::GammaDistribution | |
GammaDistribution(const arma::vec &alpha, const arma::vec &beta) | mlpack::distribution::GammaDistribution | |
LogProbability(const arma::mat &observations, arma::vec &LogProbabilities) const | mlpack::distribution::GammaDistribution | |
Probability(const arma::mat &observations, arma::vec &Probabilities) const | mlpack::distribution::GammaDistribution | |
Probability(double x, size_t dim) const | mlpack::distribution::GammaDistribution | |
Random() const | mlpack::distribution::GammaDistribution | |
Train(const arma::mat &rdata, const double tol=1e-8) | mlpack::distribution::GammaDistribution | |
Train(const arma::mat &observations, const arma::vec &probabilities, const double tol=1e-8) | mlpack::distribution::GammaDistribution | |
Train(const arma::vec &logMeanxVec, const arma::vec &meanLogxVec, const arma::vec &meanxVec, const double tol=1e-8) | mlpack::distribution::GammaDistribution | |
~GammaDistribution() | mlpack::distribution::GammaDistribution | inline |