Trait opensrdk_kernel_method::Kernel

pub trait Kernel<T>: Clone + Debug where
    T: Clone + Debug, {
    fn params_len(&self) -> usize;
    fn value(
        &self, 
        params: &[f64], 
        x: &T, 
        xprime: &T, 
        with_grad: bool
    ) -> Result<(f64, Vec<f64>), Box<dyn Error>>;
}

Required methods

fn params_len(&self) -> usize

fn value(
    &self,
    params: &[f64],
    x: &T,
    xprime: &T,
    with_grad: bool
) -> Result<(f64, Vec<f64>), Box<dyn Error>>

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Implementors

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

fn params_len(&self) -> usize

fn value(
    &self,
    params: &[f64],
    x: &Vec<f64>,
    xprime: &Vec<f64>,
    with_grad: bool
) -> Result<(f64, Vec<f64>), Box<dyn Error>>

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

fn params_len(&self) -> usize

fn value(
    &self,
    params: &[f64],
    x: &Vec<f64>,
    xprime: &Vec<f64>,
    with_grad: bool
) -> Result<(f64, Vec<f64>), Box<dyn Error>>

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

fn params_len(&self) -> usize

fn value(
    &self,
    params: &[f64],
    x: &Vec<f64>,
    xprime: &Vec<f64>,
    _: bool
) -> Result<(f64, Vec<f64>), Box<dyn Error>>

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

fn params_len(&self) -> usize

fn value(
    &self,
    params: &[f64],
    x: &Vec<f64>,
    xprime: &Vec<f64>,
    with_grad: bool
) -> Result<(f64, Vec<f64>), Box<dyn Error>>

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

fn params_len(&self) -> usize

fn value(
    &self,
    params: &[f64],
    x: &Vec<f64>,
    xprime: &Vec<f64>,
    with_grad: bool
) -> Result<(f64, Vec<f64>), Box<dyn Error>>

impl<'a, T> Kernel<T> for InstantKernel<'a, T> where
    T: Clone + Debug, 

fn params_len(&self) -> usize

fn value(
    &self,
    params: &[f64],
    x: &T,
    xprime: &T,
    with_grad: bool
) -> Result<(f64, Vec<f64>), Box<dyn Error>>

impl<L, R, T> Kernel<T> for KernelAdd<L, R, T> where
    L: Kernel<T>,
    R: Kernel<T>,
    T: Clone + Debug, 

fn params_len(&self) -> usize

fn value(
    &self,
    params: &[f64],
    x: &T,
    xprime: &T,
    with_grad: bool
) -> Result<(f64, Vec<f64>), Box<dyn Error>>

impl<L, R, T> Kernel<T> for KernelMul<L, R, T> where
    L: Kernel<T>,
    R: Kernel<T>,
    T: Clone + Debug, 

fn params_len(&self) -> usize

fn value(
    &self,
    params: &[f64],
    x: &T,
    xprime: &T,
    with_grad: bool
) -> Result<(f64, Vec<f64>), Box<dyn Error>>

impl<T> Kernel<T> for Bias where
    T: Clone + Debug, 

fn params_len(&self) -> usize

fn value(
    &self,
    params: &[f64],
    _: &T,
    _: &T,
    _: bool
) -> Result<(f64, Vec<f64>), Box<dyn Error>>

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

fn params_len(&self) -> usize

fn value(
    &self,
    params: &[f64],
    x: &T,
    xprime: &T,
    with_grad: bool
) -> Result<(f64, Vec<f64>), Box<dyn Error>>

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