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NuSVR

#include <Skigen/SVM>

template <typename Scalar = double>
class Skigen::NuSVR(nu=0.5, C=1.0, kernel=Kernel::RBF, degree=3, gamma=0, coef0=0)

Nu-SVR — placeholder. Use Skigen::SVR instead.

Mirrors sklearn.svm.NuSVR constructor signature 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.



Methods

SKIGEN_PARAMS()


predict()