import { BaseEstimator } from '../base';
import { Params } from '../base/estimator';
export type DensityKernel = 'gaussian' | 'tophat' | 'epanechnikov' | 'exponential' | 'linear' | 'cosine';
export interface KernelDensityProps {
    bandwidth?: number;
    kernel?: DensityKernel;
    atol?: number;
    rtol?: number;
}
export declare class KernelDensity extends BaseEstimator {
    private bandwidth;
    private kernel;
    private atol;
    private rtol;
    private trainingState;
    private nFeaturesState;
    constructor(props?: KernelDensityProps);
    getParams(): Params;
    fit(X: number[][]): void;
    private profile;
    scoreSamples(X: number[][]): number[];
    score(X: number[][]): number;
}