CheckDType() | NeuralEngine::MachineLearning::CommonUtil< Scalar > | static |
CorrelationCoefficients(const af::array &inX, const af::array &inY=af::array()) | NeuralEngine::MachineLearning::CommonUtil< Scalar > | static |
Covariance(const af::array &M) | NeuralEngine::MachineLearning::CommonUtil< Scalar > | static |
DiagIdx(int size) | NeuralEngine::MachineLearning::CommonUtil< Scalar > | static |
Euclidean(const af::array &a) | NeuralEngine::MachineLearning::CommonUtil< Scalar > | static |
Euclidean(const af::array &a, const af::array &b) | NeuralEngine::MachineLearning::CommonUtil< Scalar > | static |
IsEqual(const af::array &a, const af::array &b) | NeuralEngine::MachineLearning::CommonUtil< Scalar > | static |
JitChol(const af::array &inA) | NeuralEngine::MachineLearning::CommonUtil< Scalar > | static |
Join(const af::array &inA, const af::array &inB, int dimension=0) | NeuralEngine::MachineLearning::CommonUtil< Scalar > | static |
LinSpace(Scalar start, Scalar stop, int num, bool endpoint=true) | NeuralEngine::MachineLearning::CommonUtil< Scalar > | static |
LogDet(af::array inA) | NeuralEngine::MachineLearning::CommonUtil< Scalar > | static |
LogNormalCDF(const af::array &inX, const af::array &inMu=af::array(), const af::array &inSigma=af::array()) | NeuralEngine::MachineLearning::CommonUtil< Scalar > | static |
LogNormalPDF(const af::array &inX, const af::array &inMu=af::array(), const af::array &inSigma=af::array()) | NeuralEngine::MachineLearning::CommonUtil< Scalar > | static |
Max(Scalar a, Scalar b, Scalar c) | NeuralEngine::MachineLearning::CommonUtil< Scalar > | static |
MergeMaps(std::map< std::string, af::array > &lhs, const std::map< std::string, af::array > &rhs) (defined in NeuralEngine::MachineLearning::CommonUtil< Scalar >) | NeuralEngine::MachineLearning::CommonUtil< Scalar > | static |
NormalCDF(const af::array &inX, const af::array &inMu=af::array(), const af::array &inSigma=af::array()) | NeuralEngine::MachineLearning::CommonUtil< Scalar > | static |
NormalPDF(const af::array &inX, const af::array &inMu=af::array(), const af::array &inSigma=af::array()) | NeuralEngine::MachineLearning::CommonUtil< Scalar > | static |
PDInverse(const af::array &inA) | NeuralEngine::MachineLearning::CommonUtil< Scalar > | static |
ReadTXT(std::string filename, char delimiter=' ') | NeuralEngine::MachineLearning::CommonUtil< Scalar > | static |
ScaledDistance(const af::array &inX1, const af::array &inX2, const af::array &inLengtScale) | NeuralEngine::MachineLearning::CommonUtil< Scalar > | static |
SolveQR(const af::array &A, const af::array &b) | NeuralEngine::MachineLearning::CommonUtil< Scalar > | static |
SortRows(af::array inA) | NeuralEngine::MachineLearning::CommonUtil< Scalar > | static |
SquareDistance(const af::array &inX1, const af::array &inX2) | NeuralEngine::MachineLearning::CommonUtil< Scalar > | static |
SquareEuclidean(const af::array &a) | NeuralEngine::MachineLearning::CommonUtil< Scalar > | static |
SquareEuclidean(const af::array &a, const af::array &b) | NeuralEngine::MachineLearning::CommonUtil< Scalar > | static |
TriLowerIdx(int size) | NeuralEngine::MachineLearning::CommonUtil< Scalar > | static |
TriUpperIdx(int size, int dimension=0) | NeuralEngine::MachineLearning::CommonUtil< Scalar > | static |
UnscaledDistance(const af::array &inX1, const af::array &inX2) | NeuralEngine::MachineLearning::CommonUtil< Scalar > | static |
WriteTXT(const af::array &data, std::string filename, char delimiter=' ') | NeuralEngine::MachineLearning::CommonUtil< Scalar > | static |