@ai-on-browser/data-analysis-models
Version:
Data analysis model package without any dependencies
38 lines (37 loc) • 925 B
TypeScript
/**
* Adaptive resonance theory
*/
export default class ART {
/**
* @param {number} [t] Threshold
* @param {'l2'} [method] Method name
*/
constructor(t?: number, method?: 'l2');
_method: L2;
_t: number;
_protos: any[];
/**
* Number of clusters
* @type {number}
*/
get size(): number;
/**
* Fit model and returns predicted categories.
* @param {Array<Array<number>>} datas Training data
* @returns {number[]} Predicted values
*/
fit(datas: Array<Array<number>>): number[];
/**
* Returns predicted categories.
* @param {Array<Array<number>>} datas Sample data
* @returns {number[]} Predicted values
*/
predict(datas: Array<Array<number>>): number[];
}
declare class L2 {
constructor(beta?: number);
_beta: number;
similarity(p: any, x: any): number;
update(x: any, prev: any): any;
}
export {};