Function linfa_svm::SVClassify::fit_nu

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

Support Vector Classification with Nu-penalizing term

This methods solves a binary SVC problem with a penalizing parameter nu between (0, 1). The dual problem has the form

min_a 1/2*a^tQ a s.t. y^t a = 0, 0 <= a_i <= 1/l, e^t a > nu

with Q_ij = y_i y_j K(x_i, x_j) the kernel matrix.

Parameters

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