import { Params } from '../base/estimator';
import { EmpiricalCovariance, EmpiricalCovarianceProps } from './empiricalCovariance';
export interface GraphicalLassoProps extends EmpiricalCovarianceProps {
    alpha?: number;
    maxIter?: number;
    tol?: number;
    enetTol?: number;
}
/** Sparse inverse covariance using the Friedman et al. block coordinate-descent algorithm. */
export declare class GraphicalLasso extends EmpiricalCovariance {
    private alpha;
    private maxIter;
    private tol;
    private enetTol;
    private nIterState;
    private costsState;
    constructor(props?: GraphicalLassoProps);
    getParams(): Params;
    private dualGap;
    private objective;
    fit(X: number[][]): void;
    get nIter(): number;
    get costs(): number[];
}