Trait opensrdk_probability::nonparametric::gaussian_process::GaussianProcess

pub trait GaussianProcess<K, T> where
    K: Kernel<T>,
    T: RandomVariable, {
    fn new(kernel: K) -> Self;
    fn kxx_inv_vec(
        &self, 
        vec: Vec<f64>, 
        params: &GaussianProcessParams<T>, 
        with_det_lkxx: bool
    ) -> Result<(Vec<f64>, Option<f64>), Box<dyn Error>>;
    fn lkxx_vec(
        &self, 
        vec: Vec<f64>, 
        params: &GaussianProcessParams<T>
    ) -> Result<Vec<f64>, Box<dyn Error>>;
}

Required methods

fn new(kernel: K) -> Self

fn kxx_inv_vec(
    &self,
    vec: Vec<f64>,
    params: &GaussianProcessParams<T>,
    with_det_lkxx: bool
) -> Result<(Vec<f64>, Option<f64>), Box<dyn Error>>

fn lkxx_vec(
    &self,
    vec: Vec<f64>,
    params: &GaussianProcessParams<T>
) -> Result<Vec<f64>, Box<dyn Error>>

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Implementors

impl<K, T> GaussianProcess<Convolutional<K>, T> for KissLoveGP<K, T> where
    K: Kernel<Vec<f64>>,
    T: RandomVariable + Convolutable, 

fn new(kernel: Convolutional<K>) -> Self

Create an LOVE KISS gp struct.

args
kernel
sigma
x
y

result
Ok	Self
Err	Error message

fn kxx_inv_vec(
    &self,
    vec: Vec<f64>,
    params: &GaussianProcessParams<T>,
    with_det_lkxx: bool
) -> Result<(Vec<f64>, Option<f64>), Box<dyn Error>>

fn lkxx_vec(
    &self,
    vec: Vec<f64>,
    params: &GaussianProcessParams<T>
) -> Result<Vec<f64>, Box<dyn Error>>

impl<K, T> GaussianProcess<K, T> for ExactGP<K, T> where
    K: Kernel<T>,
    T: RandomVariable, 

fn new(kernel: K) -> Self

fn kxx_inv_vec(
    &self,
    vec: Vec<f64>,
    params: &GaussianProcessParams<T>,
    with_det_lkxx: bool
) -> Result<(Vec<f64>, Option<f64>), Box<dyn Error>>

fn lkxx_vec(
    &self,
    vec: Vec<f64>,
    params: &GaussianProcessParams<T>
) -> Result<Vec<f64>, Box<dyn Error>>

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