NeuralEngine
A Game Engine with embeded Machine Learning algorithms based on Gaussian Processes.
NeuralEngine::MachineLearning::CommonUtil< Scalar > Member List

This is the complete list of members for NeuralEngine::MachineLearning::CommonUtil< Scalar >, including all inherited members.

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