@ai-on-browser/data-analysis-models/lib/model/robust_scaler.d.ts

Data analysis model package without any dependencies

/**
 * Robust scaler
 */
export default class RobustScaler {
    _q_low: number;
    _q_high: number;
    _q(x: any, p: any): any;
    /**
     * Fit model.
     * @param {number[] | Array<Array<number>>} x Training data
     */
    fit(x: number[] | Array<Array<number>>): void;
    _mid: any;
    _ql: any;
    _qh: any;
    /**
     * Returns transformed values.
     * @param {number[] | Array<Array<number>>} x Sample data
     * @returns {number[] | Array<Array<number>>} Predicted values
     */
    predict(x: number[] | Array<Array<number>>): number[] | Array<Array<number>>;
    /**
     * Returns inverse transformed values.
     * @param {number[] | Array<Array<number>>} z Sample data
     * @returns {number[] | Array<Array<number>>} Predicted values
     */
    inverse(z: number[] | Array<Array<number>>): number[] | Array<Array<number>>;
}