diff --git a/examples/undocumented/python_modular/structure_factor_graph_model.py b/examples/undocumented/python_modular/structure_factor_graph_model.py
index dc3ad6f3aac..e553eb9e7a4 100644
--- a/examples/undocumented/python_modular/structure_factor_graph_model.py
+++ b/examples/undocumented/python_modular/structure_factor_graph_model.py
@@ -122,7 +122,8 @@ def structure_factor_graph_model(tr_samples = samples, tr_labels = labels, w = w
 	#print w_truth
 
 	# evaluation
-	lbs_bmrm = LabelsFactory.to_structured(bmrm.apply())
+	eva_bmrm = bmrm.apply()
+	lbs_bmrm = LabelsFactory.to_structured(eva_bmrm)
 	acc_loss = 0.0
 	ave_loss = 0.0
 	for i in xrange(num_samples):
diff --git a/src/shogun/structure/StochasticSOSVM.h b/src/shogun/structure/StochasticSOSVM.h
index 9f296882c89..128d5cfa187 100644
--- a/src/shogun/structure/StochasticSOSVM.h
+++ b/src/shogun/structure/StochasticSOSVM.h
@@ -52,7 +52,7 @@ class CStochasticSOSVM : public CLinearStructuredOutputMachine
 
 	/** get classifier type
 	 *
-	 * @return classifier type CT_PRIMALMOSEKSOSVM
+	 * @return classifier type CT_STOCHASTICSOSVM
 	 */
 	virtual EMachineType get_classifier_type();