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

NelleV · lesteve · commit 9b75a81b2dd8 · 2017-02-22T14:54:32.000+01:00
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]
