update samples from Release-115 as a part of SDK release

tutorials/machine-learning-pipelines-advanced/scripts/batch_scoring.py

@@ -25,8 +25,8 @@ def get_class_label_dict(labels_dir):
     label = []
     labels_path = os.path.join(labels_dir, 'labels.txt')
     proto_as_ascii_lines = tf.gfile.GFile(labels_path).readlines()
-    for l in proto_as_ascii_lines:
-        label.append(l.rstrip())
+    for temp in proto_as_ascii_lines:
+        label.append(temp.rstrip())
     return label
 
 

tutorials/regression-automl-nyc-taxi-data/regression-automated-ml.ipynb

@@ -60,13 +60,6 @@
         "## Download and prepare data"
       ]
     },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "Import the necessary packages. The Open Datasets package contains a class representing each data source (`NycTlcGreen` for example) to easily filter date parameters before downloading."
-      ]
-    },
     {
       "cell_type": "code",
       "execution_count": null,

tutorials/regression-automl-nyc-taxi-data/regression-automated-ml.yml

@@ -2,4 +2,3 @@ name: regression-automated-ml
 dependencies:
 - pip:
   - azureml-sdk
-  - azureml-opendatasets