import { RegressorBase } from '../base';
import { Params } from '../base/estimator';
import { SubsetSizeOption } from '../utils/paramResolvers';
export interface RandomForestRegressorProps {
    nEstimators?: number;
    bootstrap?: boolean;
    maxDepth?: number;
    minSamplesSplit?: number;
    maxFeatures?: SubsetSizeOption;
    randomState?: number;
}
export declare class RandomForestRegressor extends RegressorBase {
    private nEstimators;
    private bootstrap;
    private maxDepth?;
    private minSamplesSplit?;
    private maxFeatures;
    private randomState?;
    private estimators;
    private fitted;
    constructor(props?: RandomForestRegressorProps);
    getParams(): Params;
    fit(trainX: number[][], trainY: number[]): void;
    predict(testX: number[][]): number[];
    get featureImportances(): number[];
}