asndev
diff --git a/‎ml_engine/online_prediction/predict.py
Copy file name to clipboardExpand all lines: ml_engine/online_prediction/predict.py
+6-6Lines changed: 6 additions & 6 deletions b/‎ml_engine/online_prediction/predict.py
Copy file name to clipboardExpand all lines: ml_engine/online_prediction/predict.py
+6-6Lines changed: 6 additions & 6 deletions
diff --git a/‎ml_engine/online_prediction/predict_test.py
Copy file name to clipboardExpand all lines: ml_engine/online_prediction/predict_test.py
+10-12Lines changed: 10 additions & 12 deletions b/‎ml_engine/online_prediction/predict_test.py
Copy file name to clipboardExpand all lines: ml_engine/online_prediction/predict_test.py
+10-12Lines changed: 10 additions & 12 deletions
@@ -62,10 +62,10 @@ def predict_json(project, model, instances, version=None):
 
 
 # [START predict_tf_records]
-def predict_tf_records(project,
-                       model,
-                       example_bytes_list,
-                       version=None):
+def predict_examples(project,
+                     model,
+                     example_bytes_list,
+                     version=None):
     """Send protocol buffer data to a deployed model for prediction.
 
     Args:
@@ -119,7 +119,7 @@ def census_to_example_bytes(json_instance):
     """
     import tensorflow as tf
     feature_dict = {}
-    for key, data in json_instance.iteritems():
+    for key, data in six.iteritems(json_instance):
         if isinstance(data, six.string_types):
             feature_dict[key] = tf.train.Feature(
                 bytes_list=tf.train.BytesList(value=[str(data)]))
@@ -153,7 +153,7 @@ def main(project, model, version=None, force_tfrecord=False):
                     census_to_example_bytes(e)
                     for e in user_input
                 ]
-                result = predict_tf_records(
+                result = predict_examples(
                     project, model, example_bytes_list, version=version)
             else:
                 result = predict_json(
 
@@ -22,8 +22,8 @@
 
 
 MODEL = 'census'
-VERSION = 'v1'
-TF_RECORDS_VERSION = 'v1tfrecord'
+JSON_VERSION = 'v1json'
+EXAMPLES_VERSION = 'v1example'
 PROJECT = 'python-docs-samples-tests'
 JSON = {
     'age': 25,
@@ -41,22 +41,21 @@
     'native_country': ' United-States'
 }
 EXPECTED_OUTPUT = {
-    u'probabilities': [0.9942260384559631, 0.005774002522230148],
-    u'logits': [-5.148599147796631],
-    u'classes': 0,
-    u'logistic': [0.005774001590907574]
+    u'confidence': 0.7760371565818787,
+    u'predictions': u' <=50K'
 }
 
 
 def test_predict_json():
     result = predict.predict_json(
-        PROJECT, MODEL, [JSON, JSON], version=VERSION)
+        PROJECT, MODEL, [JSON, JSON], version=JSON_VERSION)
     assert [EXPECTED_OUTPUT, EXPECTED_OUTPUT] == result
 
 
 def test_predict_json_error():
     with pytest.raises(RuntimeError):
-        predict.predict_json(PROJECT, MODEL, [{"foo": "bar"}], version=VERSION)
+        predict.predict_json(
+            PROJECT, MODEL, [{"foo": "bar"}], version=JSON_VERSION)
 
 
 @pytest.mark.slow
@@ -66,9 +65,8 @@ def test_census_example_to_bytes():
 
 
 @pytest.mark.slow
-@pytest.mark.xfail('Single placeholder inputs broken in service b/35778449')
-def test_predict_tfrecords():
+def test_predict_examples():
     b = predict.census_to_example_bytes(JSON)
-    result = predict.predict_tfrecords(
-        PROJECT, MODEL, [b, b], version=TF_RECORDS_VERSION)
+    result = predict.predict_examples(
+        PROJECT, MODEL, [b, b], version=EXAMPLES_VERSION)
     assert [EXPECTED_OUTPUT, EXPECTED_OUTPUT] == result