Struct FittedSVC 

pub struct FittedSVC<F, K> { /* private fields */ }

Fitted Support Vector Classifier.

Stores one binary SVM per pair of classes (one-vs-one). Implements Predict to produce class labels.

Implementations

impl<F: Float, K: Kernel<F>> FittedSVC<F, K>

pub fn decision_function(&self, x: &Array2<F>) -> Result<Array2<F>, FerroError>

Compute the raw decision function values for each sample.

For binary classification, returns a 1-column array. For multiclass, returns one column per class pair.

Errors

Returns FerroError::ShapeMismatch if the input has no columns.

Trait Implementations

impl<F: Clone, K: Clone> Clone for FittedSVC<F, K>

fn clone(&self) -> FittedSVC<F, K>

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl<F: Debug, K: Debug> Debug for FittedSVC<F, K>

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

Formats the value using the given formatter.

impl<F: Float + Send + Sync + ScalarOperand + 'static, K: Kernel<F> + 'static> Predict<ArrayBase<OwnedRepr<F>, Dim<[usize; 2]>>> for FittedSVC<F, K>

fn predict(&self, x: &Array2<F>) -> Result<Array1<usize>, FerroError>

Predict class labels for the given feature matrix.

Uses one-vs-one voting: each binary model casts a vote for the winning class, and the class with the most votes wins.

Errors

Returns FerroError::ShapeMismatch if the number of features does not match the training data.

type Output = ArrayBase<OwnedRepr<usize>, Dim<[usize; 1]>>

The prediction output type (e.g., ndarray::Array1<F> or ndarray::Array1<usize>).

type Error = FerroError

The error type returned by predict.