Trait opensrdk_kernel_method::traits::ln_value_differentiable::LogValueDifferentiableKernel

pub trait LogValueDifferentiableKernel<T>: PositiveDefiniteKernel<T>where
    T: Value,{
    fn ln_diff_value(
        &self,
        params: &[f64],
        x: &T,
        xprime: &T
    ) -> Result<Vec<f64>, KernelError>;
}

Required Methods

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

Implementors

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

impl LogValueDifferentiableKernel<Vec<f64, Global>> for Constant

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

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

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

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

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

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

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

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