import type { BaseEstimator } from '../base';
import type { FeatureImportanceCapability } from '../base/capabilities';
export interface ForestMember extends BaseEstimator, FeatureImportanceCapability {
    fit(X: number[][], y: number[]): void;
    predict(X: number[][]): number[];
}
export interface ForestFitOptions<TMember extends ForestMember> {
    nEstimators: number;
    bootstrap: boolean;
    randomState?: number;
    /** Injects the tree family while the skeleton owns sampling and seeding. */
    createEstimator: (randomState: number) => TMember;
}
/** Shared bootstrap/training skeleton used by RandomForest and ExtraTrees. */
export declare function fitForest<TMember extends ForestMember>(X: number[][], y: number[], options: ForestFitOptions<TMember>): TMember[];
export declare function predictForestClassification(estimators: ForestMember[], X: number[][]): number[];
export declare function predictForestRegression(estimators: ForestMember[], X: number[][]): number[];