import { OutlierBase } from '../base/outlier';
import { Params } from '../base/estimator';
export interface IsolationForestProps {
    subsampling_size?: number;
    tree_num?: number;
    contamination?: 'auto' | number;
    random_state?: number;
}
export declare class IsolationForest extends OutlierBase {
    private max_depth;
    private iforest;
    private subsampling_size;
    private tree_num;
    private contamination;
    private random_state?;
    private rng;
    private fitted_psi;
    private offset;
    constructor(props?: IsolationForestProps);
    /** @deprecated positional form; prefer the props-object constructor */
    constructor(subsampling_size?: number, tree_num?: number, contamination?: 'auto' | number, random_state?: number);
    getParams(): Params;
    private iTree;
    private pathLength;
    private iForest;
    /**
     * average unsuccessful searches in BST (Preiss, 1999)
     * @param Psi
    */
    static AFS(Psi: number): number;
    /**
     * linearly interpolated quantile, q in [0, 1]
     */
    private static quantile;
    anomalyScore(x: number[]): number;
    fit(samplesX: number[][]): void;
    predict(samples: number[][]): (0 | 1)[];
}