Merge pull request #3260 from lc0/dataset

Fix a typo. Python function name

samples/outreach/blogs/blog_estimators_dataset.py

@@ -38,7 +38,7 @@ URL_TRAIN = "http://download.tensorflow.org/data/iris_training.csv"
 URL_TEST = "http://download.tensorflow.org/data/iris_test.csv"
 
 
-def downloadDataset(url, file):
+def download_dataset(url, file):
     if not os.path.exists(PATH_DATASET):
         os.makedirs(PATH_DATASET)
     if not os.path.exists(file):
@@ -46,8 +46,8 @@ def downloadDataset(url, file):
         with open(file, "wb") as f:
             f.write(data)
             f.close()
-downloadDataset(URL_TRAIN, FILE_TRAIN)
-downloadDataset(URL_TEST, FILE_TEST)
+download_dataset(URL_TRAIN, FILE_TRAIN)
+download_dataset(URL_TEST, FILE_TEST)
 
 tf.logging.set_verbosity(tf.logging.INFO)
 
@@ -97,7 +97,7 @@ classifier = tf.estimator.DNNClassifier(
     n_classes=3,
     model_dir=PATH)  # Path to where checkpoints etc are stored
 
-# Train our model, use the previously function my_input_fn
+# Train our model, use the previously defined function my_input_fn
 # Input to training is a file with training example
 # Stop training after 8 iterations of train data (epochs)
 classifier.train(
@@ -127,6 +127,7 @@ prediction_input = [[5.9, 3.0, 4.2, 1.5],  # -> 1, Iris Versicolor
                     [6.9, 3.1, 5.4, 2.1],  # -> 2, Iris Virginica
                     [5.1, 3.3, 1.7, 0.5]]  # -> 0, Iris Sentosa
 
+
 def new_input_fn():
     def decode(x):
         x = tf.split(x, 4)  # Need to split into our 4 features