import { ClassifierBase } from '../base';
import { Params } from '../base/estimator';
export interface LogisticRegressionProps {
    learningRate?: number;
    maxIter?: number;
    /** Inverse L2 regularization strength. `null` preserves the historical unregularized solver. */
    C?: number | null;
}
export declare class LogisticRegression extends ClassifierBase {
    private coefState;
    private bias;
    private coefMatrixState;
    private biasState;
    private learningRate;
    private maxIter;
    private C;
    private classes;
    private fitted;
    constructor(props?: LogisticRegressionProps);
    getParams(): Params;
    private fitBinary;
    private fitMulticlass;
    fit(trainX: number[][], trainY: number[]): void;
    private scores;
    predict(testX: number[][]): number[];
    predictProba(testX: number[][]): number[][];
    decisionFunction(testX: number[][]): number[] | number[][];
    getClasses(): number[];
    get coef(): number[] | number[][];
}