@ai-on-browser/data-analysis-models
Version:
Data analysis model package without any dependencies
35 lines (34 loc) • 929 B
TypeScript
/**
* Multivariate Adaptive Regression Splines
*/
export default class MultivariateAdaptiveRegressionSplines {
/**
* @param {number} mmax Maximum number of terms
*/
constructor(mmax: number);
_mmax: number;
_b: Term[];
_a: 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;
/**
* Returns predicted values.
* @param {Array<Array<number>>} x Sample data
* @returns {Array<Array<number>>} Predicted values
*/
predict(x: Array<Array<number>>): Array<Array<number>>;
}
declare class Term {
constructor(s?: any[], t?: any[], v?: any[]);
_s: any[];
_t: any[];
_v: any[];
prod(s: any, t: any, v: any): Term;
calc(x: any): number;
}
import Matrix from '../util/matrix.js';
export {};