Struct BayesianConfig 

pub struct BayesianConfig<T: Float> {
    pub prior_mean: Box<dyn Fn(T) -> T>,
    pub prior_variance: T,
    pub noise_variance: T,
    pub length_scale: T,
    pub n_posterior_samples: usize,
}

Configuration for Bayesian interpolation

Fields

prior_mean: Box<dyn Fn(T) -> T>

Prior mean function

prior_variance: T

Prior variance

noise_variance: T

Measurement noise variance

length_scale: T

RBF kernel length scale parameter

n_posterior_samples: usize

Number of posterior samples to draw

Implementations

impl<T: Float + FromPrimitive> BayesianConfig<T>

pub fn with_length_scale(self, lengthscale: T) -> Self

Set the RBF kernel length scale parameter

pub fn with_prior_variance(self, variance: T) -> Self

Set the prior variance

pub fn with_noise_variance(self, variance: T) -> Self

Set the noise variance

pub fn with_n_posterior_samples(self, nsamples: usize) -> Self

Set the number of posterior samples

Trait Implementations

impl<T: Float + FromPrimitive> Default for BayesianConfig<T>

fn default() -> Self

Returns the “default value” for a type.