import { BaseEstimator, RegressorBase } from '../base';
import { Params } from '../base/estimator';
import { SubsetSizeOption } from '../utils/paramResolvers';
interface RegressorLike extends BaseEstimator {
    fit(X: number[][], y: number[]): void;
    predict(X: number[][]): number[];
}
export interface BaggingRegressorProps {
    estimator?: RegressorLike;
    nEstimators?: number;
    maxSamples?: SubsetSizeOption;
    bootstrap?: boolean;
    randomState?: number;
}
export declare class BaggingRegressor extends RegressorBase {
    private estimator?;
    private nEstimators;
    private maxSamples?;
    private bootstrap;
    private randomState?;
    private estimators;
    constructor(props?: BaggingRegressorProps);
    getParams(): Params;
    fit(X: number[][], y: number[]): void;
    predict(X: number[][]): number[];
}
export {};