changed hyperparameter n_iter from 20 to 10
@@ -98,7 +98,7 @@ rbm_features_classifier = Pipeline(
# using a GridSearchCV. Here we are not performing cross-validation to
# save time.
rbm.learning_rate = 0.06
-rbm.n_iter = 20
+rbm.n_iter = 10
# More components tend to give better prediction performance, but larger
# fitting time
rbm.n_components = 100
