Trait opensrdk_kernel_method::PositiveDefiniteKernel

pub trait PositiveDefiniteKernel<T>: Clone + Debug + Send + Sync where
    T: Value, {
    fn params_len(&self) -> usize;
    fn value(
        &self, 
        params: &[f64], 
        x: &T, 
        xprime: &T
    ) -> Result<f64, KernelError>;
}

Required Methods

fn params_len(&self) -> usize

fn value(&self, params: &[f64], x: &T, xprime: &T) -> Result<f64, KernelError>

Implementors

impl PositiveDefiniteKernel<Vec<f64, Global>> for ARD

impl PositiveDefiniteKernel<Vec<f64, Global>> for Exponential

impl PositiveDefiniteKernel<Vec<f64, Global>> for Linear

impl PositiveDefiniteKernel<Vec<f64, Global>> for Periodic

impl PositiveDefiniteKernel<Vec<f64, Global>> for RBF

impl PositiveDefiniteKernel<Vec<f64, Global>> for SpectralMixture

impl<'a> PositiveDefiniteKernel<Vec<f64, Global>> for DeepNeuralNetwork<'a>

impl<L, R, T> PositiveDefiniteKernel<T> for KernelAdd<L, R, T> where
    L: PositiveDefiniteKernel<T>,
    R: PositiveDefiniteKernel<T>,
    T: Value, 

impl<L, R, T> PositiveDefiniteKernel<T> for KernelMul<L, R, T> where
    L: PositiveDefiniteKernel<T>,
    R: PositiveDefiniteKernel<T>,
    T: Value, 

impl<T> PositiveDefiniteKernel<T> for Constant where
    T: Value, 

impl<T, F> PositiveDefiniteKernel<T> for InstantKernel<T, F> where
    T: Value,
    F: Fn(&[f64], &T, &T) -> Result<f64, KernelError> + Clone + Send + Sync, 

impl<T, K> PositiveDefiniteKernel<T> for Convolutional<K> where
    T: Convolutable,
    K: PositiveDefiniteKernel<Vec<f64>>,