import { SVC } from './svc';
import { Params } from '../base/estimator';
import { KernelType, SMOSolution } from './smo';
export interface NuSVCProps {
    /** upper bound on the fraction of margin errors, lower bound on the fraction of support vectors */
    nu?: number;
    kernel?: KernelType;
    gamma?: number | 'scale' | 'auto';
    degree?: number;
    coef0?: number;
    tol?: number;
    /** hard limit on SMO pair updates; -1 (default) = run until convergence */
    maxIter?: number;
}
/**
 * nu-Support Vector Classification (libsvm Solver_NU semantics): `nu`
 * replaces `C` and directly trades off support-vector fraction against
 * margin errors. Multiclass problems are one-vs-one; each pairwise
 * subproblem must satisfy nu <= 2 * min(n+, n-) / (n+ + n-).
 */
export declare class NuSVC extends SVC {
    private nu;
    constructor(props?: NuSVCProps);
    getParams(): Params;
    protected solveBinary(X: number[][], y: number[]): SMOSolution;
}