SVM.NuSVC

Variant of SVC that uses the nu parameter to control the fraction of support vectors and the margin errors.

interface NuSVCProps {
    nu?: number;
}
constructor(props: NuSVCProps = {})

Parameters

• nu (number, default 0.5): trade-off between the number of support vectors and training errors
• C (number, default 1/nu): regularization strength
• maxIter (number, default 100): maximum iterations for training
• learningRate (number, default 0.01): step size for gradient descent
• kernel ('linear' | 'rbf', default 'rbf'): kernel type
• gamma (number, default 1): RBF kernel coefficient

NuSVC shares the same usage as SVC but uses the nu parameter instead of C.