muq::Modeling::Gaussian Member List

This is the complete list of members for muq::Modeling::Gaussian, including all inherited members.

ApplyCovariance(Eigen::Ref< const Eigen::MatrixXd > const &x) const override	muq::Modeling::Gaussian	virtual
ApplyCovSqrt(Eigen::Ref< const Eigen::MatrixXd > const &x) const override	muq::Modeling::Gaussian	virtual
ApplyLogDensityHessian(unsigned int const inWrt1, unsigned int const inWrt2, ref_vector< Eigen::VectorXd > const &input, Eigen::VectorXd const &vec)	muq::Modeling::Distribution	virtual
ApplyLogDensityHessian(unsigned int const inWrt1, unsigned int const inWrt2, std::vector< Eigen::VectorXd > const &input, Eigen::VectorXd const &vec)	muq::Modeling::Distribution	inlinevirtual
ApplyLogDensityHessianImpl(unsigned int wrt1, unsigned int wrt2, ref_vector< Eigen::VectorXd > const &inputs, Eigen::VectorXd const &vec) override	muq::Modeling::GaussianBase	virtual
ApplyPrecision(Eigen::Ref< const Eigen::MatrixXd > const &x) const override	muq::Modeling::Gaussian	virtual
ApplyPrecSqrt(Eigen::Ref< const Eigen::MatrixXd > const &x) const override	muq::Modeling::Gaussian	virtual
AsDensity()	muq::Modeling::Distribution
AsVariable()	muq::Modeling::Distribution
CheckInputTypes(InputMask extraInputs, Mode mode)	muq::Modeling::Gaussian	protectedstatic
ComputeNormalization()	muq::Modeling::Gaussian	protected
Condition(Eigen::MatrixXd const &obsMat, Eigen::VectorXd const &data, Eigen::MatrixXd const &obsCov) const	muq::Modeling::Gaussian
Covariance enum value	muq::Modeling::Gaussian
covPrec	muq::Modeling::Gaussian	protected
DiagCovariance enum value	muq::Modeling::Gaussian
DiagPrecision enum value	muq::Modeling::Gaussian
Dimension() const	muq::Modeling::GaussianBase	virtual
Distribution(unsigned int varSizeIn, Eigen::VectorXi const &hyperSizesIn=Eigen::VectorXi())	muq::Modeling::Distribution	inline
ExtraInputs enum name	muq::Modeling::Gaussian
FullCovariance enum value	muq::Modeling::Gaussian
FullPrecision enum value	muq::Modeling::Gaussian
Gaussian(unsigned int dim, InputMask extraInputs=ExtraInputs::None)	muq::Modeling::Gaussian
Gaussian(Eigen::VectorXd const &mu, InputMask extraInputs=ExtraInputs::None)	muq::Modeling::Gaussian
Gaussian(Eigen::VectorXd const &mu, Eigen::MatrixXd const &obj, Gaussian::Mode mode=Gaussian::Mode::Covariance, InputMask extraInputs=ExtraInputs::None)	muq::Modeling::Gaussian
GaussianBase(unsigned int dim)	muq::Modeling::GaussianBase
GaussianBase(unsigned int dim, Eigen::VectorXi const &hyperSizesIn)	muq::Modeling::GaussianBase
GaussianBase(Eigen::VectorXd const &meanIn)	muq::Modeling::GaussianBase
GaussianBase(Eigen::VectorXd const &meanIn, Eigen::VectorXi const &hyperSizesIn)	muq::Modeling::GaussianBase
GetCovariance() const	muq::Modeling::Gaussian
GetExtraSizes(unsigned dim, InputMask extraInputs)	muq::Modeling::Gaussian	protectedstatic
GetInputTypes() const	muq::Modeling::Gaussian	inline
GetMean() const	muq::Modeling::GaussianBase	inlinevirtual
GetMode() const	muq::Modeling::Gaussian	inline
GetPrecision() const	muq::Modeling::Gaussian
GradLogDensity(unsigned int wrt, std::vector< Eigen::VectorXd > const &inputs)	muq::Modeling::Distribution	inlinevirtual
GradLogDensity(unsigned int wrt, ref_vector< Eigen::VectorXd > const &inputs)	muq::Modeling::Distribution	virtual
GradLogDensity(unsigned int wrt, Args... args)	muq::Modeling::Distribution	inline
GradLogDensity(unsigned int wrt, ref_vector< Eigen::VectorXd > &inputs, Eigen::VectorXd const &in, Args... args)	muq::Modeling::Distribution	inlineprivate
GradLogDensityImpl(unsigned int wrt, ref_vector< Eigen::VectorXd > const &inputs) override	muq::Modeling::GaussianBase	virtual
hyperSizes	muq::Modeling::Distribution
InputMask typedef	muq::Modeling::Gaussian
inputTypes	muq::Modeling::Gaussian	protected
LogDensity(ref_vector< Eigen::VectorXd > const &inputs)	muq::Modeling::Distribution	virtual
LogDensity(std::vector< Eigen::VectorXd > const &inputs)	muq::Modeling::Distribution	inlinevirtual
LogDensityImpl(ref_vector< Eigen::VectorXd > const &inputs) override	muq::Modeling::GaussianBase	protectedvirtual
logDet	muq::Modeling::Gaussian	protected
LogDeterminant() const override	muq::Modeling::Gaussian	inlinevirtual
mean	muq::Modeling::GaussianBase	protected
Mean enum value	muq::Modeling::Gaussian
mode	muq::Modeling::Gaussian	protected
Mode enum name	muq::Modeling::Gaussian
ModeFromExtras(InputMask extraInputs)	muq::Modeling::Gaussian	protectedstatic
None enum value	muq::Modeling::Gaussian
Precision enum value	muq::Modeling::Gaussian
ResetHyperparameters(ref_vector< Eigen::VectorXd > const &params) override	muq::Modeling::Gaussian	virtual
Sample(ref_vector< Eigen::VectorXd > const &inputs)	muq::Modeling::Distribution
Sample(std::vector< Eigen::VectorXd > const &inputs)	muq::Modeling::Distribution	inline
Sample()	muq::Modeling::Distribution
SampleImpl(ref_vector< Eigen::VectorXd > const &inputs) override	muq::Modeling::GaussianBase	protectedvirtual
SetCovariance(Eigen::MatrixXd const &newCov)	muq::Modeling::Gaussian
SetMean(Eigen::VectorXd const &newMu)	muq::Modeling::GaussianBase	virtual
SetPrecision(Eigen::MatrixXd const &newPrec)	muq::Modeling::Gaussian
sqrtCovPrec	muq::Modeling::Gaussian	protected
ToRefVector(std::vector< Eigen::VectorXd > const &anyVec) const	muq::Modeling::Distribution	protected
VARIADIC_TO_REFVECTOR(LogDensity, Eigen::VectorXd, double)	muq::Modeling::Distribution
VARIADIC_TO_REFVECTOR(Sample, Eigen::VectorXd, Eigen::VectorXd)	muq::Modeling::Distribution
varSize	muq::Modeling::Distribution
~Distribution()=default	muq::Modeling::Distribution	virtual
~Gaussian()=default	muq::Modeling::Gaussian	virtual
~GaussianBase()=default	muq::Modeling::GaussianBase	virtual