SVM.LinearSVC

Linear support vector classifier optimized with gradient descent on hinge loss. It trains one-versus-rest linear models to separate classes.

interface LinearSVCProps {
    C?: number;
    maxIter?: number;
    learningRate?: number;
}
constructor(props: LinearSVCProps = {})

Parameters

• C (number, default 1): regularization strength
• maxIter (number, default 100): maximum training iterations
• learningRate (number, default 0.01): step size for gradient descent

Example

const svc = new LinearSVC();
svc.fit(X, y);
const result = svc.predict(T);