Struct BinarySVM 

pub struct BinarySVM<const D: usize, K>
where
    K: Kernel<D>,
{ /* private fields */ }

A fitted binary classification support vector machine.

Type Parameters

• D - The dimension or number of features.
• K - The type of the kernel function.

Implementations

impl<const D: usize, K> BinarySVM<D, K>

where K: Kernel<D>,

pub fn params() -> SVMParams<D, K>

Creates a new SVMParams for fitting a BinarySVM.

pub fn predict(&self, x: &RowVector<D>) -> bool

Predicts the class label for a given input vector.

pub fn decision_function(&self, x: &RowVector<D>) -> f32

Computes the decision value for a given input vector.

This is useful for getting a confidence score. A larger positive value indicates higher confidence in the positive class, while a larger negative value indicates higher confidence in the negative class.

pub fn support_vectors(&self) -> impl Iterator<Item = &FittedSVMDataPoint<D>>

Returns an iterator over the support vectors and their corresponding alpha values.

pub fn num_support_vectors(&self) -> usize

Returns the number of support vectors.

Support vectors are data points with non-zero alpha values.

pub const fn bias(&self) -> f32

Returns the bias term of the SVM.

Trait Implementations

impl<const D: usize, K> Clone for BinarySVM<D, K>

where K: Kernel<D> + Clone,

fn clone(&self) -> BinarySVM<D, K>

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl<const D: usize, K> Debug for BinarySVM<D, K>

where K: Kernel<D> + Debug,

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

Formats the value using the given formatter.

impl<const D: usize, K> PartialEq for BinarySVM<D, K>

where K: Kernel<D> + PartialEq,

fn eq(&self, other: &BinarySVM<D, K>) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

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

impl<const D: usize, K> StructuralPartialEq for BinarySVM<D, K>

where K: Kernel<D>,