SVM.SVC

Support Vector Classification. When the kernel is set to rbf it applies the kernel trick to transform input features before training a linear classifier.

interface SVCProps {
    C?: number;
    maxIter?: number;
    learningRate?: number;
    kernel?: 'linear' | 'rbf';
    gamma?: number;
}
constructor(props: SVCProps = {})

Parameters

• C (number, default 1): regularization strength
• maxIter (number, default 100): maximum iterations for training
• learningRate (number, default 0.01): step size for the optimizer
• kernel ('linear' | 'rbf', default 'rbf'): kernel type
• gamma (number, default 1): RBF kernel coefficient

Example

const svc = new SVC({ kernel: 'linear' });
svc.fit(X, y);
const result = svc.predict(T);