import { SGDClassifier } from './SgdClassifier';
import { ModelFitArgs } from '../types';
export interface LogisticRegressionParams {
    /** Specify the norm of the penalty. **default = l2** */
    penalty?: 'l1' | 'l2' | 'none';
    /** Inverse of the regularization strength. **default = 1** */
    C?: number;
    /** Whether or not the intercept should be estimator not. **default = true** */
    fitIntercept?: boolean;
    modelFitOptions?: Partial<ModelFitArgs>;
}
/** Builds a linear classification model with associated penalty and regularization
 *
 * @example
 * ```js
 * let X = [
      [1, -1],
      [2, 0],
      [2, 1],
      [2, -1],
      [3, 2],
      [0, 4],
      [1, 3],
      [1, 4],
      [1, 5],
      [2, 3],
    ]
    let y = [ 0, 0, 0, 0, 0, 1, 1, 1, 1, 1]

    let logreg = new LogisticRegression({ penalty: 'none' })
    await logreg.fit(X, y)
 * ```
*/
export declare class LogisticRegression extends SGDClassifier {
    constructor({ penalty, C, fitIntercept, modelFitOptions }?: LogisticRegressionParams);
}