import { Params } from '../base/estimator';
import { SGDClassifier } from './sgdClassifier';
import { SGDPenalty } from './sgdBase';
export interface PerceptronProps {
    penalty?: SGDPenalty;
    alpha?: number;
    l1Ratio?: number;
    fitIntercept?: boolean;
    maxIter?: number;
    tol?: number | null;
    shuffle?: boolean;
    randomState?: number;
    eta0?: number;
}
/**
 * The classic perceptron, mirroring scikit-learn's `Perceptron`: an
 * `SGDClassifier` with `loss='perceptron'`, a constant learning rate `eta0`
 * (default 1) and no penalty by default. Updates only on misclassified
 * samples. Multiclass is handled one-vs-rest; `predictProba` is unavailable
 * (the perceptron has no probability model).
 */
export declare class Perceptron extends SGDClassifier {
    constructor(props?: PerceptronProps);
    getParams(): Params;
}