Struct linfa_kernel::KernelParams
source · [−]pub struct KernelParams<F, N = CommonNearestNeighbour> { /* private fields */ }
Expand description
Defines the set of parameters needed to build a kernel
Implementations
sourceimpl<F, N> KernelParams<F, N>
impl<F, N> KernelParams<F, N>
sourcepub fn method(self, method: KernelMethod<F>) -> Self
pub fn method(self, method: KernelMethod<F>) -> Self
Setter for method
, the inner product used by the kernel
sourcepub fn kind(self, kind: KernelType) -> Self
pub fn kind(self, kind: KernelType) -> Self
Setter for kind
, whether to construct a dense or sparse kernel
Trait Implementations
sourceimpl<F: Clone, N: Clone> Clone for KernelParams<F, N>
impl<F: Clone, N: Clone> Clone for KernelParams<F, N>
sourcefn clone(&self) -> KernelParams<F, N>
fn clone(&self) -> KernelParams<F, N>
Returns a copy of the value. Read more
1.0.0 · sourcefn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
Performs copy-assignment from source
. Read more
sourceimpl<F: Debug, N: Debug> Debug for KernelParams<F, N>
impl<F: Debug, N: Debug> Debug for KernelParams<F, N>
sourceimpl<F: PartialEq, N: PartialEq> PartialEq<KernelParams<F, N>> for KernelParams<F, N>
impl<F: PartialEq, N: PartialEq> PartialEq<KernelParams<F, N>> for KernelParams<F, N>
sourcefn eq(&self, other: &KernelParams<F, N>) -> bool
fn eq(&self, other: &KernelParams<F, N>) -> bool
This method tests for self
and other
values to be equal, and is used
by ==
. Read more
sourcefn ne(&self, other: &KernelParams<F, N>) -> bool
fn ne(&self, other: &KernelParams<F, N>) -> bool
This method tests for !=
.
sourceimpl<F: Float, N: NearestNeighbour> Transformer<&'_ ArrayBase<OwnedRepr<F>, Dim<[usize; 2]>>, KernelBase<ArrayBase<OwnedRepr<F>, Dim<[usize; 2]>>, CsMatBase<F, usize, Vec<usize, Global>, Vec<usize, Global>, Vec<F, Global>, usize>>> for KernelParams<F, N>
impl<F: Float, N: NearestNeighbour> Transformer<&'_ ArrayBase<OwnedRepr<F>, Dim<[usize; 2]>>, KernelBase<ArrayBase<OwnedRepr<F>, Dim<[usize; 2]>>, CsMatBase<F, usize, Vec<usize, Global>, Vec<usize, Global>, Vec<F, Global>, usize>>> for KernelParams<F, N>
sourcefn transform(&self, x: &Array2<F>) -> Kernel<F>
fn transform(&self, x: &Array2<F>) -> Kernel<F>
Builds a kernel from a view of the input data.
Parameters
x
: view of a matrix of records (#records, #features)
A kernel build from x
according to the parameters on which
this method is called
Panics
If the kernel type is Sparse
and the number of neighbors specified is
not between 1 and #records-1
sourceimpl<'a, F: Float, N: NearestNeighbour> Transformer<&'_ ArrayBase<ViewRepr<&'a F>, Dim<[usize; 2]>>, KernelBase<ArrayBase<OwnedRepr<F>, Dim<[usize; 2]>>, CsMatBase<F, usize, Vec<usize, Global>, Vec<usize, Global>, Vec<F, Global>, usize>>> for KernelParams<F, N>
impl<'a, F: Float, N: NearestNeighbour> Transformer<&'_ ArrayBase<ViewRepr<&'a F>, Dim<[usize; 2]>>, KernelBase<ArrayBase<OwnedRepr<F>, Dim<[usize; 2]>>, CsMatBase<F, usize, Vec<usize, Global>, Vec<usize, Global>, Vec<F, Global>, usize>>> for KernelParams<F, N>
sourcefn transform(&self, x: &ArrayView2<'a, F>) -> Kernel<F>
fn transform(&self, x: &ArrayView2<'a, F>) -> Kernel<F>
Builds a kernel from a view of the input data.
Parameters
x
: view of a matrix of records (#records, #features)
A kernel build from x
according to the parameters on which
this method is called
Panics
If the kernel type is Sparse
and the number of neighbors specified is
not between 1 and #records-1
sourceimpl<'a, F: Float, L: 'a, T: AsTargets<Elem = L> + FromTargetArray<'a>, N: NearestNeighbour> Transformer<&'a DatasetBase<ArrayBase<OwnedRepr<F>, Dim<[usize; 2]>>, T>, DatasetBase<KernelBase<ArrayBase<OwnedRepr<F>, Dim<[usize; 2]>>, CsMatBase<F, usize, Vec<usize, Global>, Vec<usize, Global>, Vec<F, Global>, usize>>, <T as FromTargetArray<'a>>::View>> for KernelParams<F, N>
impl<'a, F: Float, L: 'a, T: AsTargets<Elem = L> + FromTargetArray<'a>, N: NearestNeighbour> Transformer<&'a DatasetBase<ArrayBase<OwnedRepr<F>, Dim<[usize; 2]>>, T>, DatasetBase<KernelBase<ArrayBase<OwnedRepr<F>, Dim<[usize; 2]>>, CsMatBase<F, usize, Vec<usize, Global>, Vec<usize, Global>, Vec<F, Global>, usize>>, <T as FromTargetArray<'a>>::View>> for KernelParams<F, N>
sourcefn transform(
&self,
x: &'a DatasetBase<Array2<F>, T>
) -> DatasetBase<Kernel<F>, T::View>
fn transform(
&self,
x: &'a DatasetBase<Array2<F>, T>
) -> DatasetBase<Kernel<F>, T::View>
Builds a new Dataset with the kernel as the records and the same targets as the input one.
Parameters
x
: A dataset with a matrix of records (#records, #features) and any targets
Returns
A new dataset with:
- records: a kernel build from
x.records()
according to the parameters on which this method is called - targets: same as
x.targets()
Panics
If the kernel type is Sparse
and the number of neighbors specified is
not between 1 and #records-1
sourceimpl<'a, 'b, F: Float, L: 'b, T: AsTargets<Elem = L> + FromTargetArray<'b>, N: NearestNeighbour> Transformer<&'b DatasetBase<ArrayBase<ViewRepr<&'a F>, Dim<[usize; 2]>>, T>, DatasetBase<KernelBase<ArrayBase<OwnedRepr<F>, Dim<[usize; 2]>>, CsMatBase<F, usize, Vec<usize, Global>, Vec<usize, Global>, Vec<F, Global>, usize>>, <T as FromTargetArray<'b>>::View>> for KernelParams<F, N>
impl<'a, 'b, F: Float, L: 'b, T: AsTargets<Elem = L> + FromTargetArray<'b>, N: NearestNeighbour> Transformer<&'b DatasetBase<ArrayBase<ViewRepr<&'a F>, Dim<[usize; 2]>>, T>, DatasetBase<KernelBase<ArrayBase<OwnedRepr<F>, Dim<[usize; 2]>>, CsMatBase<F, usize, Vec<usize, Global>, Vec<usize, Global>, Vec<F, Global>, usize>>, <T as FromTargetArray<'b>>::View>> for KernelParams<F, N>
sourcefn transform(
&self,
x: &'b DatasetBase<ArrayView2<'a, F>, T>
) -> DatasetBase<Kernel<F>, T::View>
fn transform(
&self,
x: &'b DatasetBase<ArrayView2<'a, F>, T>
) -> DatasetBase<Kernel<F>, T::View>
Builds a new Dataset with the kernel as the records and the same targets as the input one.
Parameters
x
: A dataset with a matrix of records (##records, ##features) and any targets
Returns
A new dataset with:
- records: a kernel build from
x.records()
according to the parameters on which this method is called - targets: a slice of
x.targets()
Panics
If the kernel type is Sparse
and the number of neighbors specified is
not between 1 and ##records-1
sourceimpl<'a, F: Float, N: NearestNeighbour> Transformer<ArrayBase<ViewRepr<&'a F>, Dim<[usize; 2]>>, KernelBase<ArrayBase<OwnedRepr<F>, Dim<[usize; 2]>>, CsMatBase<F, usize, Vec<usize, Global>, Vec<usize, Global>, Vec<F, Global>, usize>>> for KernelParams<F, N>
impl<'a, F: Float, N: NearestNeighbour> Transformer<ArrayBase<ViewRepr<&'a F>, Dim<[usize; 2]>>, KernelBase<ArrayBase<OwnedRepr<F>, Dim<[usize; 2]>>, CsMatBase<F, usize, Vec<usize, Global>, Vec<usize, Global>, Vec<F, Global>, usize>>> for KernelParams<F, N>
sourcefn transform(&self, x: ArrayView2<'a, F>) -> Kernel<F>
fn transform(&self, x: ArrayView2<'a, F>) -> Kernel<F>
Builds a kernel from a view of the input data.
Parameters
x
: view of a matrix of records (#records, #features)
A kernel build from x
according to the parameters on which
this method is called
Panics
If the kernel type is Sparse
and the number of neighbors specified is
not between 1 and #records-1
sourceimpl<'a, F: Float, T: AsTargets, N: NearestNeighbour> Transformer<DatasetBase<ArrayBase<OwnedRepr<F>, Dim<[usize; 2]>>, T>, DatasetBase<KernelBase<ArrayBase<OwnedRepr<F>, Dim<[usize; 2]>>, CsMatBase<F, usize, Vec<usize, Global>, Vec<usize, Global>, Vec<F, Global>, usize>>, T>> for KernelParams<F, N>
impl<'a, F: Float, T: AsTargets, N: NearestNeighbour> Transformer<DatasetBase<ArrayBase<OwnedRepr<F>, Dim<[usize; 2]>>, T>, DatasetBase<KernelBase<ArrayBase<OwnedRepr<F>, Dim<[usize; 2]>>, CsMatBase<F, usize, Vec<usize, Global>, Vec<usize, Global>, Vec<F, Global>, usize>>, T>> for KernelParams<F, N>
sourcefn transform(&self, x: DatasetBase<Array2<F>, T>) -> DatasetBase<Kernel<F>, T>
fn transform(&self, x: DatasetBase<Array2<F>, T>) -> DatasetBase<Kernel<F>, T>
Builds a new Dataset with the kernel as the records and the same targets as the input one.
It takes ownership of the original dataset.
Parameters
x
: A dataset with a matrix of records (#records, #features) and any targets
Returns
A new dataset with:
- records: a kernel build from
x.records()
according to the parameters on which this method is called - targets: same as
x.targets()
Panics
If the kernel type is Sparse
and the number of neighbors specified is
not between 1 and #records-1
impl<F, N> StructuralPartialEq for KernelParams<F, N>
Auto Trait Implementations
impl<F, N> RefUnwindSafe for KernelParams<F, N> where
F: RefUnwindSafe,
N: RefUnwindSafe,
impl<F, N> Send for KernelParams<F, N> where
F: Send,
N: Send,
impl<F, N> Sync for KernelParams<F, N> where
F: Sync,
N: Sync,
impl<F, N> Unpin for KernelParams<F, N> where
F: Unpin,
N: Unpin,
impl<F, N> UnwindSafe for KernelParams<F, N> where
F: UnwindSafe,
N: UnwindSafe,
Blanket Implementations
sourceimpl<T> BorrowMut<T> for T where
T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
const: unstable · sourcefn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more