[MRG] FIX lasso/elasticnet example did not add noise to simulated data. (scikit-learn#8427)

NelleV · maskani-moh · commit 3ecb912c892a · 2017-11-15T12:11:36.000-05:00
The first argument of np.random.normal is the mean of the distribution, and
not the output shape. The example thus did not add noise but only an intercept
to the model.
diff --git a/examples/linear_model/plot_lasso_and_elasticnet.py b/examples/linear_model/plot_lasso_and_elasticnet.py
@@ -28,7 +28,7 @@
 y = np.dot(X, coef)
 
 # add noise
-y += 0.01 * np.random.normal((n_samples,))
+y += 0.01 * np.random.normal(size=n_samples)
 
 # Split data in train set and test set
 n_samples = X.shape[0]
