import { TransformerBase } from '../base';
import { Params } from '../base/estimator';
export type NMFInit = 'random' | 'nndsvd' | 'nndsvda' | 'nndsvdar';
export interface NMFProps {
    nComponents?: number;
    init?: NMFInit;
    maxIter?: number;
    tol?: number;
    alphaW?: number;
    alphaH?: number;
    l1Ratio?: number;
    randomState?: number;
}
export declare class NMF extends TransformerBase {
    private nComponents;
    private init;
    private maxIter;
    private tol;
    private alphaW;
    private alphaH;
    private l1Ratio;
    private randomState?;
    private componentsState;
    private WState;
    private reconstructionErrState;
    private nIterState;
    constructor(props?: NMFProps);
    getParams(): Params;
    private initialize;
    private updateW;
    private updateH;
    fit(X: number[][]): void;
    fitTransform(X: number[][]): number[][];
    transform(X: number[][]): number[][];
    inverseTransform(X: number[][]): number[][];
    get components(): number[][];
    get reconstructionErr(): number;
    get nIter(): number;
}