Struct GaussianProcessLayer 

pub struct GaussianProcessLayer {
    pub input_dim: usize,
    pub output_dim: usize,
    pub num_inducing: usize,
    pub kernel: KernelType,
    pub noise_variance: f64,
    pub learning_rate: f64,
    /* private fields */
}

Single Gaussian Process layer in the deep architecture

Fields

input_dim: usize

input_dim

output_dim: usize

output_dim

num_inducing: usize

num_inducing

kernel: KernelType

kernel

noise_variance: f64

noise_variance

learning_rate: f64

learning_rate

Implementations

impl GaussianProcessLayer

pub fn new(input_dim: usize, output_dim: usize, num_inducing: usize) -> Self

pub fn kernel(self, kernel: KernelType) -> Self

pub fn noise_variance(self, noise_variance: f64) -> Result<Self>

pub fn learning_rate(self, learning_rate: f64) -> Result<Self>

pub fn fit( &mut self, X: &ArrayView2<'_, f64>, y: &ArrayView2<'_, f64>, random_state: Option<u64>, ) -> Result<()>

pub fn predict(&self, X: &ArrayView2<'_, f64>) -> Result<Array2<f64>>

pub fn predict_with_uncertainty( &self, X: &ArrayView2<'_, f64>, ) -> Result<(Array2<f64>, Array2<f64>)>

Trait Implementations

impl Clone for GaussianProcessLayer

fn clone(&self) -> GaussianProcessLayer

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for GaussianProcessLayer

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

Formats the value using the given formatter.