pub struct RBFKernel { /* private fields */ }
Expand description
Radial-basis function (RBF) kernel The distance metric here is L2 (Euclidean).
K(\mathbf{x}, \mathbf{x'}) = \exp\left(-\frac{\|\mathbf{x} - \mathbf{x'}\|^2}{2\sigma^2}\right)
§Parameters
l
- Length scale.
Implementations§
Trait Implementations§
source§impl<'de> Deserialize<'de> for RBFKernel
impl<'de> Deserialize<'de> for RBFKernel
source§fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where
__D: Deserializer<'de>,
fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where
__D: Deserializer<'de>,
Deserialize this value from the given Serde deserializer. Read more
source§impl Kernel for RBFKernel
impl Kernel for RBFKernel
source§fn n_parameters(&self) -> usize
fn n_parameters(&self) -> usize
Return the number of parameters used in this
Kernel
.source§fn covariance<R1, R2, C1, C2, S1, S2>(
&self,
x1: &Matrix<f64, R1, C1, S1>,
x2: &Matrix<f64, R2, C2, S2>,
) -> DMatrix<f64>where
R1: Dim,
R2: Dim,
C1: Dim,
C2: Dim,
S1: Storage<f64, R1, C1>,
S2: Storage<f64, R2, C2>,
ShapeConstraint: SameNumberOfColumns<C1, C2>,
fn covariance<R1, R2, C1, C2, S1, S2>(
&self,
x1: &Matrix<f64, R1, C1, S1>,
x2: &Matrix<f64, R2, C2, S2>,
) -> DMatrix<f64>where
R1: Dim,
R2: Dim,
C1: Dim,
C2: Dim,
S1: Storage<f64, R1, C1>,
S2: Storage<f64, R2, C2>,
ShapeConstraint: SameNumberOfColumns<C1, C2>,
Returns the covariance matrix for two equal sized vectors
source§fn is_stationary(&self) -> bool
fn is_stationary(&self) -> bool
Reports if the given kernel function is stationary.
source§fn diag<R, C, S>(&self, x: &Matrix<f64, R, C, S>) -> DVector<f64>
fn diag<R, C, S>(&self, x: &Matrix<f64, R, C, S>) -> DVector<f64>
Returns the diagonal of the kernel(x, x)
source§fn parameters(&self) -> DVector<f64>
fn parameters(&self) -> DVector<f64>
Return the corresponding parameter vector
The parameters here are in a log-scale
source§fn reparameterize(&self, params: &[f64]) -> Result<Self, KernelError>
fn reparameterize(&self, params: &[f64]) -> Result<Self, KernelError>
Create a new kernel of the given type from the provided parameters.
The parameters here are in a log-scale
source§fn covariance_with_gradient<R, C, S>(
&self,
x: &Matrix<f64, R, C, S>,
) -> Result<(DMatrix<f64>, CovGrad), CovGradError>
fn covariance_with_gradient<R, C, S>( &self, x: &Matrix<f64, R, C, S>, ) -> Result<(DMatrix<f64>, CovGrad), CovGradError>
Covariance and Gradient with the log-scaled hyper-parameters
source§fn consume_parameters<I: IntoIterator<Item = f64>>(
&self,
params: I,
) -> Result<(Self, I::IntoIter), KernelError>
fn consume_parameters<I: IntoIterator<Item = f64>>( &self, params: I, ) -> Result<(Self, I::IntoIter), KernelError>
Takes a sequence of parameters and consumes only the ones it needs
to create itself.
The parameters here are in a log-scale
fn add<B: Kernel>(self, other: B) -> AddKernel<Self, B>
fn mul<B: Kernel>(self, other: B) -> ProductKernel<Self, B>
source§impl PartialEq for RBFKernel
impl PartialEq for RBFKernel
impl StructuralPartialEq for RBFKernel
Auto Trait Implementations§
impl Freeze for RBFKernel
impl RefUnwindSafe for RBFKernel
impl Send for RBFKernel
impl Sync for RBFKernel
impl Unpin for RBFKernel
impl UnwindSafe for RBFKernel
Blanket Implementations§
source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
source§impl<T> CloneToUninit for Twhere
T: Clone,
impl<T> CloneToUninit for Twhere
T: Clone,
source§default unsafe fn clone_to_uninit(&self, dst: *mut T)
default unsafe fn clone_to_uninit(&self, dst: *mut T)
🔬This is a nightly-only experimental API. (
clone_to_uninit
)source§impl<T> IntoEither for T
impl<T> IntoEither for T
source§fn into_either(self, into_left: bool) -> Either<Self, Self>
fn into_either(self, into_left: bool) -> Either<Self, Self>
Converts
self
into a Left
variant of Either<Self, Self>
if into_left
is true
.
Converts self
into a Right
variant of Either<Self, Self>
otherwise. Read moresource§fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
Converts
self
into a Left
variant of Either<Self, Self>
if into_left(&self)
returns true
.
Converts self
into a Right
variant of Either<Self, Self>
otherwise. Read moresource§impl<SS, SP> SupersetOf<SS> for SPwhere
SS: SubsetOf<SP>,
impl<SS, SP> SupersetOf<SS> for SPwhere
SS: SubsetOf<SP>,
source§fn to_subset(&self) -> Option<SS>
fn to_subset(&self) -> Option<SS>
The inverse inclusion map: attempts to construct
self
from the equivalent element of its
superset. Read moresource§fn is_in_subset(&self) -> bool
fn is_in_subset(&self) -> bool
Checks if
self
is actually part of its subset T
(and can be converted to it).source§fn to_subset_unchecked(&self) -> SS
fn to_subset_unchecked(&self) -> SS
Use with care! Same as
self.to_subset
but without any property checks. Always succeeds.source§fn from_subset(element: &SS) -> SP
fn from_subset(element: &SS) -> SP
The inclusion map: converts
self
to the equivalent element of its superset.