emrys-filter/NumericError_8h_source.html

#pragma once


#include <expected>


namespace Emrys

{


enum class NumericError

{

    NotPositiveDefinite,

    Singular,

    NonFinite,

    Empty,

    ZeroSum,

};


using GaussianError = NumericError;


using WeightError = NumericError;


namespace internal

{


template <typename T>

inline constexpr bool isExpected = false;


template <typename T, typename E>

inline constexpr bool isExpected<std::expected<T, E>>{true};


}  // namespace internal


}  // namespace Emrys

Emrys::WeightError
NumericError WeightError
Reasons a collection of log-weights cannot be normalized: Empty, ZeroSum, or NonFinite of NumericErro...
Definition NumericError.h:53

Emrys::NumericError
NumericError
Reasons a computation from parameters the caller gave can fail: a matrix that does not factorize or a...
Definition NumericError.h:30

Emrys::NumericError::NotPositiveDefinite
@ NotPositiveDefinite
the covariance is not positive definite, so it has no Cholesky factor or inverse
Definition NumericError.h:31

Emrys::NumericError::NonFinite
@ NonFinite
a matrix, a factor, or a log-weight holds NaN or infinity (+inf, for a log-weight)
Definition NumericError.h:33

Emrys::NumericError::ZeroSum
@ ZeroSum
every weight is zero (every log-weight is -inf)
Definition NumericError.h:35

Emrys::NumericError::Empty
@ Empty
there are no weights
Definition NumericError.h:34

Emrys::NumericError::Singular
@ Singular
the precision is not positive definite, so the mean and covariance are undefined
Definition NumericError.h:32

Emrys::GaussianError
NumericError GaussianError
Reasons a Gaussian, in any of its forms (decisions.md [gaussian-forms]), can fail to give a density,...
Definition NumericError.h:45