Struct ObservationNoise 

pub struct ObservationNoise { /* private fields */ }

Observation noise covariance R.

Usually diagonal; a full matrix is allowed for correlated elements.

Implementations

impl ObservationNoise

pub const UNIT: Self

Unit variance, one element.

pub fn diagonal(variances: &[f64]) -> Result<Self>

Independent elements with the given variances.

Errors

KernelError::CapacityExceeded beyond MAX_OBSERVATION_DIM; KernelError::OutOfRange for a non-positive variance (a noiseless observation makes the update singular).

pub fn sigmas(sigmas: &[f64]) -> Result<Self>

Independent elements with the given standard deviations.

Errors

As ObservationNoise::diagonal.

pub fn full(rows: &[&[f64]]) -> Result<Self>

Full covariance for correlated elements.

Errors

KernelError::CapacityExceeded beyond MAX_OBSERVATION_DIM rows; KernelError::NotCovariance unless symmetric positive definite.

pub const fn len(&self) -> usize

Dimension.

pub const fn is_empty(&self) -> bool

Whether empty.

pub fn get(&self, row: usize, column: usize) -> Option<f64>

Covariance entry; None outside.

Trait Implementations

impl Clone for ObservationNoise

fn clone(&self) -> Self

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Copy for ObservationNoise

impl Debug for ObservationNoise

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq for ObservationNoise

fn eq(&self, other: &Self) -> bool

Equality operator ==.

fn ne(&self, other: &Rhs) -> bool

Inequality operator !=.

impl StructuralPartialEq for ObservationNoise