import * as Chai from 'chai';
import {ExpMax, probability, density } from '../lib';

const should = Chai.should();

/**
 * How to use the expmax lib
 * ```
 * it('should return squared number', () => {
 *       const dataset: IDataset = {
 *           'points': [
 *               [1.1,1],
 *               [1,2],
 *               [2,2],
 *               [2,1],
 *               [15,15],
 *               [15,16],
 *           ],
 *           'label':'test',
 *       };
 *       const opts: IEmOptions = {
 *           'clusterQt':2,
 *           'maxEpochs':1000,
 *           'threshold': 2e-16
 *       }
 *       const model = new ExpMax(dataset, opts);
 *       const trainedModel = model.train()
 *       console.log(trainedModel);
 *   });
 * ```
 */
describe('Library#index', () => {
    it("should export what's needed", () => {
        should.exist(ExpMax); 
        should.exist(probability);
        should.exist(density);
    });
/*    it('should return squared number', () => {
       const dataset = {
           'points': [
               [1.1,1],
               [1,2],
               [2,2],
               [2,1],
               [15,15],
               [15,16],
           ],
           'label':'test',
       };
       const opts = {
           'clusterQt':2,
           'maxEpochs':1000,
           'threshold': 2e-16
       }
       const model = new ExpMax(dataset, opts);
       const trainedModel = model.train()
       console.log(trainedModel);
   });*/
});