diff --git a/tests/python/test_models.py b/tests/python/test_models.py
index 9fc4d7472..6842a67b6 100644
--- a/tests/python/test_models.py
+++ b/tests/python/test_models.py
@@ -29,6 +29,8 @@ def test_custom_objective():
 	def evalerror(preds, dtrain):
 		labels = dtrain.get_label()
 		return 'error', float(sum(labels != (preds > 0.0))) / len(labels)
+	
+	# test custom_objective in training
 	bst = xgb.train(param, dtrain, num_round, watchlist, logregobj, evalerror)
 	assert isinstance(bst, xgb.core.Booster)
 	preds = bst.predict(dtest)
@@ -36,6 +38,10 @@ def test_custom_objective():
 	err = sum(1 for i in range(len(preds)) if int(preds[i]>0.5)!=labels[i]) / float(len(preds))
 	assert err < 0.1
 
+	# test custom_objective in cross-validation
+	xgb.cv(param, dtrain, num_round, nfold = 5, seed = 0,
+       obj = logregobj, feval=evalerror)
+
 def test_fpreproc():
 	param = {'max_depth':2, 'eta':1, 'silent':1, 'objective':'binary:logistic'}
 	num_round = 2
@@ -53,7 +59,7 @@ def test_show_stdv():
 	xgb.cv(param, dtrain, num_round, nfold=5,
        metrics={'error'}, seed = 0, show_stdv = False)
 
-
+test_custom_objective()