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NuSVC

#include <Skigen/SVM>

template <typename Scalar = double>
class Skigen::NuSVC(nu=0.5, kernel=Kernel::RBF, degree=3, gamma=0, coef0=0)

Nu-SVM classifier — placeholder.

Mirrors the constructor signature of sklearn.svm.NuSVC so user code can be written against the API surface, but fit() throws: the nu-formulation requires libsvm's specialised SMO variant, which is not implemented. Use Skigen::SVC (C-SVM) instead.



Attributes:

  • nu : Scalar

Methods

SKIGEN_PARAMS()


predict()