Params.h File Reference

Params and Density: the traits that pair a distribution's parameters with its density, the type that evaluates it (decisions.md [params-and-density]). More...

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Classes
struct	Emrys::ParamsOf< D >
	The parameters of the density D, as its member ParamsType: the type it borrows from, or what a marginal's copy() returns. More...
struct	Emrys::DensityOf< P >
	The density of the parameters P, as its member DensityType: what its toDensity() returns. More...

Typedefs
template<typename D>
using	Emrys::Params = typename ParamsOf<D>::type
	The parameters of the density D: GaussianParams for a Gaussian, and D itself for a distribution whose values are always valid (decisions.md [params-and-density]).
template<typename P>
using	Emrys::Density = typename DensityOf<P>::type
	The density of the parameters P: Gaussian for GaussianParams, and P itself for a type that is its own parameters (decisions.md [params-and-density]).

Detailed Description

Params and Density: the traits that pair a distribution's parameters with its density, the type that evaluates it (decisions.md [params-and-density]).

GaussianParams holds a Gaussian's parameters and Gaussian evaluates its density, so Params<Gaussian<Space>> is GaussianParams<Space> and Density<GaussianParams<Space>> is Gaussian<Space>; a type whose values are always valid, such as Uniform, is both. Filters, mixtures, and hybrids are named by the density and store its Params. Why a distribution has two types is on the page of the Distributions group, under Parameters and densities. Read Moments.h next.