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

Data analysis model package without any dependencies

/**
 * Perceptron Algorithm with Uneven Margins
 */
export default class PAUM {
    /**
     * @param {number} rate Learning rate
     * @param {number} tp Margin parameter for +1
     * @param {number} tm Margin parameter for -1
     */
    constructor(rate: number, tp: number, tm: number);
    _r: number;
    _tp: number;
    _tm: number;
    _w: any[];
    _c: number;
    /**
     * Fit model.
     * @param {Array<Array<number>>} x Training data
     * @param {Array<1 | -1>} y Target values
     */
    fit(x: Array<Array<number>>, y: Array<1 | -1>): void;
    /**
     * Returns predicted values.
     * @param {Array<Array<number>>} data Sample data
     * @returns {(1 | -1)[]} Predicted values
     */
    predict(data: Array<Array<number>>): (1 | -1)[];
}