[][src]Function linfa_svm::SVClassify::fit_one_class

pub fn fit_one_class<'a, A: Float + ToPrimitive>(
    params: SolverParams<A>,
    kernel: &'a LinfaKernel<ArrayView2<'a, A>>,
    nu: A
) -> Svm<'a, A, Pr>

Support Vector Classification for one-class problems

This methods solves a binary SVC, when there are no targets available. This can, for example be useful, when outliers should be rejected.

Parameters

  • params - Solver parameters (threshold etc.)
  • kernel - the kernel matrix Q
  • nu - Nu penalizing term