diff --git a/python/paddle/dataset/uci_housing.py b/python/paddle/dataset/uci_housing.py
index 5bc9c1444d2b34f057cd92782eb50e5fc23916eb..f7930d34f93e21bf3f832da828fb0036742b5091 100644
--- a/python/paddle/dataset/uci_housing.py
+++ b/python/paddle/dataset/uci_housing.py
@@ -74,7 +74,8 @@ def load_data(filename, feature_num=14, ratio=0.8):
     data = data.reshape(data.shape[0] // feature_num, feature_num)
     maximums, minimums, avgs = data.max(axis=0), data.min(axis=0), data.sum(
         axis=0) / data.shape[0]
-    feature_range(maximums[:-1], minimums[:-1])
+    # if you want to print the distribution of input data, you could use function of feature_range
+    #feature_range(maximums[:-1], minimums[:-1])
     for i in six.moves.range(feature_num - 1):
         data[:, i] = (data[:, i] - avgs[i]) / (maximums[i] - minimums[i])
     offset = int(data.shape[0] * ratio)