@ai-on-browser/data-analysis-models
Version:
Data analysis model package without any dependencies
27 lines (26 loc) • 724 B
TypeScript
/**
* Nadaraya–Watson kernel regression
*/
export default class NadarayaWatson {
/**
* @param {number} [s] Sigmas of normal distribution
*/
constructor(s?: number);
_s: number;
_p: (x: any) => Matrix<number>;
/**
* 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;
_y: number[][];
_x: Matrix<number[]>;
/**
* Returns predicted values.
* @param {Array<Array<number>>} x Sample data
* @returns {number[]} Predicted values
*/
predict(x: Array<Array<number>>): number[];
}
import Matrix from '../util/matrix.js';