@ai-on-browser/data-analysis-models
Version:
Data analysis model package without any dependencies
32 lines (31 loc) • 915 B
TypeScript
/**
* Huber regression
*/
export default class HuberRegression {
/**
* @param {number} [e] Threshold of outliers
* @param {'rls' | 'gd'} [method] Method name
* @param {number} [lr] Learning rate
*/
constructor(e?: number, method?: 'rls' | 'gd', lr?: number);
_e: number;
_s: number;
_lr: number;
_w: Matrix<number>;
_method: "rls" | "gd";
/**
* Fit model.
* @param {Array<Array<number>>} x Training data
* @param {Array<Array<number>>} y Target values
*/
fit(x: Array<Array<number>>, y: Array<Array<number>>): void;
_gd(x: any, y: any): void;
_rls(x: any, y: any): void;
/**
* Returns predicted values.
* @param {Array<Array<number>>} x Sample data
* @returns {Array<Array<number>>} Predicted values
*/
predict(x: Array<Array<number>>): Array<Array<number>>;
}
import Matrix from '../util/matrix.js';