Struct ExpSineSquaredKernel

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pub struct ExpSineSquaredKernel { /* private fields */ }
Expand description

Exp Sine^2 Kernel k(x_i, x_j) = exp(-2 (sin(pi / periodicity * d(x_i, x_j)) / length_scale) ^ 2)

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impl ExpSineSquaredKernel

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pub fn new(length_scale: f64, periodicity: f64) -> Result<Self, KernelError>

Create a new ExpSineSquaredKernel

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pub fn new_unchecked(length_scale: f64, periodicity: f64) -> Self

Create a new ExpSineSquaredKernel without checking the parameters

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impl<B> Add<B> for ExpSineSquaredKernel
where B: Kernel,

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type Output = AddKernel<ExpSineSquaredKernel, B>

The resulting type after applying the + operator.
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fn add(self, rhs: B) -> Self::Output

Performs the + operation. Read more
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impl Clone for ExpSineSquaredKernel

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fn clone(&self) -> ExpSineSquaredKernel

Returns a duplicate of the value. Read more
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fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for ExpSineSquaredKernel

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

Formats the value using the given formatter. Read more
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impl<'de> Deserialize<'de> for ExpSineSquaredKernel

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fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>
where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer. Read more
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impl Kernel for ExpSineSquaredKernel

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fn diag<R, C, S>(&self, x: &Matrix<f64, R, C, S>) -> DVector<f64>
where R: Dim, C: Dim, S: Storage<f64, R, C>,

Returns the diagonal of the kernel(x, x)

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fn parameters(&self) -> DVector<f64>

Return the corresponding parameter vector The parameters here are in a log-scale

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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

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fn covariance_with_gradient<R, C, S>( &self, x: &Matrix<f64, R, C, S>, ) -> Result<(DMatrix<f64>, CovGrad), CovGradError>
where R: Dim, C: Dim, S: Storage<f64, R, C>,

Covariance and Gradient with the log-scaled hyper-parameters

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fn n_parameters(&self) -> usize

Return the number of parameters used in this Kernel.
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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
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fn is_stationary(&self) -> bool

Reports if the given kernel function is stationary.
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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
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fn add<B: Kernel>(self, other: B) -> AddKernel<Self, B>

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fn mul<B: Kernel>(self, other: B) -> ProductKernel<Self, B>

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impl<B> Mul<B> for ExpSineSquaredKernel
where B: Kernel,

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type Output = ProductKernel<ExpSineSquaredKernel, B>

The resulting type after applying the * operator.
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fn mul(self, rhs: B) -> Self::Output

Performs the * operation. Read more
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impl PartialEq for ExpSineSquaredKernel

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fn eq(&self, other: &ExpSineSquaredKernel) -> bool

Tests for self and other values to be equal, and is used by ==.
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fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.
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impl Serialize for ExpSineSquaredKernel

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fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>
where __S: Serializer,

Serialize this value into the given Serde serializer. Read more
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impl StructuralPartialEq for ExpSineSquaredKernel

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impl<T> Any for T
where T: 'static + ?Sized,

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fn type_id(&self) -> TypeId

Gets the TypeId of self. Read more
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impl<T> Borrow<T> for T
where T: ?Sized,

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fn borrow(&self) -> &T

Immutably borrows from an owned value. Read more
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impl<T> BorrowMut<T> for T
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fn borrow_mut(&mut self) -> &mut T

Mutably borrows from an owned value. Read more
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impl<T> CloneToUninit for T
where T: Clone,

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unsafe fn clone_to_uninit(&self, dest: *mut u8)

🔬This is a nightly-only experimental API. (clone_to_uninit)
Performs copy-assignment from self to dest. Read more
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impl<T> From<T> for T

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Returns the argument unchanged.

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Calls U::from(self).

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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 more
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type Output = T

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fn to_subset(&self) -> Option<SS>

The inverse inclusion map: attempts to construct self from the equivalent element of its superset. Read more
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