fix: do not use '.default' in index

Author: targos

src/index.js

@@ -1,10 +1,10 @@
 'use strict';
 
-exports.SimpleLinearRegression = exports.SLR = require('ml-regression-simple-linear').default;
-exports.PolynomialRegression = require('ml-regression-polynomial').default;
-exports.ExponentialRegression = require('ml-regression-exponential').default;
-exports.PowerRegression = require('ml-regression-power').default;
-exports.MultivariateLinearRegression = require('ml-regression-multivariate-linear').default;
+exports.SimpleLinearRegression = exports.SLR = require('ml-regression-simple-linear');
+exports.PolynomialRegression = require('ml-regression-polynomial');
+exports.ExponentialRegression = require('ml-regression-exponential');
+exports.PowerRegression = require('ml-regression-power');
+exports.MultivariateLinearRegression = require('ml-regression-multivariate-linear');
 
 exports.NonLinearRegression = exports.NLR = {
     PotentialRegression: require('./regression/potential-regression')
@@ -14,5 +14,5 @@ exports.KernelRidgeRegression = exports.KRR = require('./regression/kernel-ridge
 exports.PolinomialFitting2D = require('./regression/poly-fit-regression2d');
 
 // robust regressions
-exports.TheilSenRegression = require('ml-regression-theil-sen').default;
-exports.RobustPolynomialRegression = require('ml-regression-robust-polynomial').default;
+exports.TheilSenRegression = require('ml-regression-theil-sen');
+exports.RobustPolynomialRegression = require('ml-regression-robust-polynomial');

test/re-export.js

@@ -0,0 +1,15 @@
+'use strict';
+
+const regression = require('..');
+
+describe('test that re-exports are OK', () => {
+    it('should export functions', () => {
+        regression.SimpleLinearRegression.should.be.a.Function();
+        regression.PolynomialRegression.should.be.a.Function();
+        regression.ExponentialRegression.should.be.a.Function();
+        regression.PowerRegression.should.be.a.Function();
+        regression.MultivariateLinearRegression.should.be.a.Function();
+        regression.TheilSenRegression.should.be.a.Function();
+        regression.RobustPolynomialRegression.should.be.a.Function();
+    });
+});