import { RegressorBase } from '../../base';
import { Params } from '../../base/estimator';
import { XGBoostProps } from './xgboostBase';
export interface XGBoostRegressorProps extends XGBoostProps {
}
/**
 * XGBoost with the reg:squarederror objective.
 * The default base_score = 0.5 matches the xgboost library.
 */
export declare class XGBoostRegressor extends RegressorBase {
    private params;
    private trees;
    private baseMargin;
    private fitted;
    private nFeatures;
    constructor(props?: XGBoostRegressorProps);
    getParams(): Params;
    fit(trainX: number[][], trainY: number[]): void;
    predict(testX: number[][]): number[];
    get featureImportances(): number[];
}