Struct FittedOneClassSVM 

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

Fitted One-Class SVM.

Stores the support vectors and decision boundary. Points are classified as inliers (+1) or outliers (-1) based on the sign of the decision function.

Implementations

impl<F: Float + Send + Sync + ScalarOperand + 'static, K: Kernel<F> + 'static> FittedOneClassSVM<F, K>

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

Compute the raw decision function values for each sample.

Returns an array of shape (n_samples,). Positive values indicate inliers, negative values indicate outliers.

Errors

Returns Ok always for valid input.

Trait Implementations

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

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

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

Predict inlier (+1) or outlier (-1) for each sample.

Errors

Returns Ok always for valid input.

type Output = ArrayBase<OwnedRepr<isize>, 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.