import { RegressorBase } from '../base';
import { Params } from '../base/estimator';
interface BayesianProps {
    maxIter?: number;
    tol?: number;
    alpha1?: number;
    alpha2?: number;
    lambda1?: number;
    lambda2?: number;
    fitIntercept?: boolean;
}
export declare class BayesianRidge extends RegressorBase {
    private maxIter;
    private tol;
    private alpha1;
    private alpha2;
    private lambda1;
    private lambda2;
    private fitIntercept;
    private coefState;
    private interceptState;
    private alphaState;
    private lambdaState;
    private sigmaState;
    private nIterState;
    private xOffsetState;
    constructor(props?: BayesianProps);
    getParams(): Params;
    fit(X: number[][], y: number[]): void;
    predict(X: number[][]): number[];
    predictStd(X: number[][]): number[];
    get coef(): number[];
    get intercept(): number;
    get alpha(): number;
    get lambda(): number;
    get sigma(): number[][];
    get nIter(): number;
}
export interface ARDRegressionProps extends BayesianProps {
    thresholdLambda?: number;
}
export declare class ARDRegression extends RegressorBase {
    private maxIter;
    private tol;
    private alpha1;
    private alpha2;
    private lambda1;
    private lambda2;
    private thresholdLambda;
    private fitIntercept;
    private coefState;
    private interceptState;
    private alphaState;
    private lambdaState;
    private sigmaState;
    private nIterState;
    private xOffsetState;
    constructor(props?: ARDRegressionProps);
    getParams(): Params;
    fit(X: number[][], y: number[]): void;
    predict(X: number[][]): number[];
    get coef(): number[];
    get intercept(): number;
    get alpha(): number;
    get lambda(): number[];
    get sigma(): number[][];
    get nIter(): number;
}
export {};