diff --git a/.github/CODEOWNERS b/.github/CODEOWNERS
new file mode 100644
index 00000000..a5567cb9
--- /dev/null
+++ b/.github/CODEOWNERS
@@ -0,0 +1,8 @@
+# Code owners file.
+# This file controls who is tagged for review for any given pull request.
+#
+# For syntax help see:
+# https://help.github.com/en/github/creating-cloning-and-archiving-repositories/about-code-owners#codeowners-syntax
+
+
+/samples/**/*.py                           @telpirion @sirtorry @googleapis/python-samples-owners
diff --git a/samples/tables/automl_tables_predict.py b/samples/tables/automl_tables_predict.py
index e9654272..9787e1b9 100644
--- a/samples/tables/automl_tables_predict.py
+++ b/samples/tables/automl_tables_predict.py
@@ -87,6 +87,7 @@ def batch_predict_bq(
     model_display_name,
     bq_input_uri,
     bq_output_uri,
+    params
 ):
     """Make a batch of predictions."""
     # [START automl_tables_batch_predict_bq]
@@ -96,6 +97,7 @@ def batch_predict_bq(
     # model_display_name = 'MODEL_DISPLAY_NAME_HERE'
     # bq_input_uri = 'bq://my-project.my-dataset.my-table'
     # bq_output_uri = 'bq://my-project'
+    # params = {}
 
     from google.cloud import automl_v1beta1 as automl
 
@@ -104,7 +106,8 @@ def batch_predict_bq(
     # Query model
     response = client.batch_predict(bigquery_input_uri=bq_input_uri,
                                     bigquery_output_uri=bq_output_uri,
-                                    model_display_name=model_display_name)
+                                    model_display_name=model_display_name,
+                                    params=params)
     print("Making batch prediction... ")
     # `response` is a async operation descriptor,
     # you can register a callback for the operation to complete via `add_done_callback`:
@@ -130,6 +133,7 @@ def batch_predict(
     model_display_name,
     gcs_input_uri,
     gcs_output_uri,
+    params,
 ):
     """Make a batch of predictions."""
     # [START automl_tables_batch_predict]
@@ -139,6 +143,7 @@ def batch_predict(
     # model_display_name = 'MODEL_DISPLAY_NAME_HERE'
     # gcs_input_uri = 'gs://YOUR_BUCKET_ID/path_to_your_input_csv'
     # gcs_output_uri = 'gs://YOUR_BUCKET_ID/path_to_save_results/'
+    # params = {}
 
     from google.cloud import automl_v1beta1 as automl
 
@@ -149,6 +154,7 @@ def batch_predict(
         gcs_input_uris=gcs_input_uri,
         gcs_output_uri_prefix=gcs_output_uri,
         model_display_name=model_display_name,
+        params=params
     )
     print("Making batch prediction... ")
     # `response` is a async operation descriptor,
diff --git a/samples/tables/batch_predict_test.py b/samples/tables/batch_predict_test.py
index f77404de..203f4c8d 100644
--- a/samples/tables/batch_predict_test.py
+++ b/samples/tables/batch_predict_test.py
@@ -32,13 +32,15 @@
 GCS_OUTPUT = "gs://{}-automl-tables-test/TABLE_TEST_OUTPUT/".format(PROJECT)
 BQ_INPUT = "bq://{}.automl_test.bank_marketing".format(PROJECT)
 BQ_OUTPUT = "bq://{}".format(PROJECT)
+PARAMS = {}
 
 
 @pytest.mark.slow
 def test_batch_predict(capsys):
     ensure_model_online()
+
     automl_tables_predict.batch_predict(
-        PROJECT, REGION, STATIC_MODEL, GCS_INPUT, GCS_OUTPUT
+        PROJECT, REGION, STATIC_MODEL, GCS_INPUT, GCS_OUTPUT, PARAMS
     )
     out, _ = capsys.readouterr()
     assert "Batch prediction complete" in out
@@ -48,7 +50,7 @@ def test_batch_predict(capsys):
 def test_batch_predict_bq(capsys):
     ensure_model_online()
     automl_tables_predict.batch_predict_bq(
-        PROJECT, REGION, STATIC_MODEL, BQ_INPUT, BQ_OUTPUT
+        PROJECT, REGION, STATIC_MODEL, BQ_INPUT, BQ_OUTPUT, PARAMS
     )
     out, _ = capsys.readouterr()
     assert "Batch prediction complete" in out