[−][src]Function linfa_svm::SVRegress::fit_nu

pub fn fit_nu<'a, A: Float>(
    params: SolverParams<A>, 
    kernel: &'a LinfaKernel<ArrayView2<'a, A>>, 
    target: &'a [A], 
    c: A, 
    nu: A
) -> Svm<'a, A, A>

Support Vector Regression with nu parameter

This methods solves a binary SVC problem with parameter nu, defining how many support vectors should be used. This parameter should be in range (0, 1).

Parameters

  • params - Solver parameters (threshold etc.)
  • kernel - the kernel matrix Q
  • targets - the continuous targets y_i
  • c - C value for all targets
  • nu - nu value for all targets