Struct Vector

pub struct Vector { /* private fields */ }

Implementations

impl Vector

pub fn new( inner: InnerVector<f64, Dynamic, VecStorage<f64, Dynamic, U1>>, ) -> Self

pub fn len(&self) -> usize

pub fn iter<'a>(&'a self) -> impl 'a + Iterator<Item = f64>

pub fn as_slice(&self) -> &[f64]

pub fn into_inner( self, ) -> InnerVector<f64, Dynamic, VecStorage<f64, Dynamic, U1>>

Trait Implementations

impl Clone for Vector

fn clone(&self) -> Vector

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for Vector

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

Formats the value using the given formatter.

impl Distribution<Vector> for GaussianProcessPrior

fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> ColVec

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>

where R: Rng, Self: Sized,

Create an iterator that generates random values of T, using rng as the source of randomness.

impl Distribution<Vector> for MultivariateNormal

fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> ColVec

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>

where R: Rng, Self: Sized,

Create an iterator that generates random values of T, using rng as the source of randomness.

impl From<Vec<f64>> for Vector

fn from(f: Vec<f64>) -> Self

Converts to this type from the input type.

impl FromIterator<f64> for Vector

fn from_iter<T>(iter: T) -> Self

where T: IntoIterator<Item = f64>,

Creates a value from an iterator.

impl Kernel<Vector> for GaussianKernel

fn call(&self, x0: &Vector, x1: &Vector) -> f64

impl Mul<Vector> for Matrix

type Output = Vector

The resulting type after applying the * operator.

fn mul(self, rhs: ColVec) -> Self::Output

Performs the * operation.