import { BaseEstimator, RegressorBase } from '../base';
import { Params } from '../base/estimator';
import { ElementwiseFunc } from '../utils/preprocessingExtra';
interface RegressorLike extends BaseEstimator {
    fit(X: number[][], y: number[]): void;
    predict(X: number[][]): number[];
}
interface TargetTransformer extends BaseEstimator {
    fit(X: number[][]): void;
    transform(X: number[][]): number[][];
    inverseTransform?(X: number[][]): number[][];
}
export interface TransformedTargetRegressorProps {
    regressor?: RegressorLike;
    transformer?: TargetTransformer | null;
    func?: ElementwiseFunc | string;
    inverseFunc?: ElementwiseFunc | string;
}
/** Fit a regressor on a transformed target, then invert predictions to the original target space. */
export declare class TransformedTargetRegressor extends RegressorBase {
    private regressor;
    private transformer;
    private func;
    private inverseFunc;
    private fittedRegressorState?;
    private fittedTransformerState?;
    constructor(props?: TransformedTargetRegressorProps);
    getParams(): Params;
    setParams(params: Params): this;
    fit(X: number[][], y: number[]): void;
    predict(X: number[][]): number[];
}
export {};