@@ -49,7 +49,7 @@ classifier = tf.estimator.Estimator(

 classifier.train(input_fn = lambda:iris_data.train_input_fn(train_x, train_y, 100), steps=1000)

 result = classifier.evaluate(input_fn = lambda : iris_data.eval_input_fn(test_x, test_y, 100))

-print result

+print (result)

 predict_x = {

     'SepalLength': [5.1, 5.9, 6.9],

@@ -61,4 +61,4 @@ predict_x = {

 predictions = classifier.predict(input_fn = lambda : iris_data.eval_input_fn(predict_x, None, 100))

 for p in predictions:

-    print p

+    print (p)