docs: Added comment for evaluation_id to python examples

samples/snippets/model_service/get_model_evaluation_image_classification_sample.py

@@ -23,6 +23,19 @@ def get_model_evaluation_image_classification_sample(
     location: str = "us-central1",
     api_endpoint: str = "us-central1-aiplatform.googleapis.com",
 ):
+    """
+    To obtain evaluation_id run the following commands where LOCATION
+    is the region where the model is stored, PROJECT is the project ID,
+    and MODEL_ID is the ID of your model.
+
+    model_client = aiplatform.gapic.ModelServiceClient(
+        client_options={
+            'api_endpoint':'LOCATION-aiplatform.googleapis.com'
+            }
+        )
+    evaluations = model_client.list_model_evaluations(parent='projects/PROJECT/locations/LOCATION/models/MODEL_ID')
+    print("evaluations:", evaluations)
+    """
     # The AI Platform services require regional API endpoints.
     client_options = {"api_endpoint": api_endpoint}
     # Initialize client that will be used to create and send requests.

samples/snippets/model_service/get_model_evaluation_image_object_detection_sample.py

@@ -23,6 +23,19 @@ def get_model_evaluation_image_object_detection_sample(
     location: str = "us-central1",
     api_endpoint: str = "us-central1-aiplatform.googleapis.com",
 ):
+    """
+    To obtain evaluation_id run the following commands where LOCATION
+    is the region where the model is stored, PROJECT is the project ID,
+    and MODEL_ID is the ID of your model.
+
+    model_client = aiplatform.gapic.ModelServiceClient(
+        client_options={
+            'api_endpoint':'LOCATION-aiplatform.googleapis.com'
+            }
+        )
+    evaluations = model_client.list_model_evaluations(parent='projects/PROJECT/locations/LOCATION/models/MODEL_ID')
+    print("evaluations:", evaluations)
+    """
     # The AI Platform services require regional API endpoints.
     client_options = {"api_endpoint": api_endpoint}
     # Initialize client that will be used to create and send requests.

samples/snippets/model_service/get_model_evaluation_slice_sample.py

@@ -24,6 +24,19 @@ def get_model_evaluation_slice_sample(
     location: str = "us-central1",
     api_endpoint: str = "us-central1-aiplatform.googleapis.com",
 ):
+    """
+    To obtain evaluation_id run the following commands where LOCATION
+    is the region where the model is stored, PROJECT is the project ID,
+    and MODEL_ID is the ID of your model.
+
+    model_client = aiplatform.gapic.ModelServiceClient(
+        client_options={
+            'api_endpoint':'LOCATION-aiplatform.googleapis.com'
+            }
+        )
+    evaluations = model_client.list_model_evaluations(parent='projects/PROJECT/locations/LOCATION/models/MODEL_ID')
+    print("evaluations:", evaluations)
+    """
     # The AI Platform services require regional API endpoints.
     client_options = {"api_endpoint": api_endpoint}
     # Initialize client that will be used to create and send requests.

samples/snippets/model_service/get_model_evaluation_tabular_classification_sample.py

@@ -23,6 +23,19 @@ def get_model_evaluation_tabular_classification_sample(
     location: str = "us-central1",
     api_endpoint: str = "us-central1-aiplatform.googleapis.com",
 ):
+    """
+    To obtain evaluation_id run the following commands where LOCATION
+    is the region where the model is stored, PROJECT is the project ID,
+    and MODEL_ID is the ID of your model.
+
+    model_client = aiplatform.gapic.ModelServiceClient(
+        client_options={
+            'api_endpoint':'LOCATION-aiplatform.googleapis.com'
+            }
+        )
+    evaluations = model_client.list_model_evaluations(parent='projects/PROJECT/locations/LOCATION/models/MODEL_ID')
+    print("evaluations:", evaluations)
+    """
     # The AI Platform services require regional API endpoints.
     client_options = {"api_endpoint": api_endpoint}
     # Initialize client that will be used to create and send requests.

samples/snippets/model_service/get_model_evaluation_tabular_regression_sample.py

@@ -23,6 +23,19 @@ def get_model_evaluation_tabular_regression_sample(
     location: str = "us-central1",
     api_endpoint: str = "us-central1-aiplatform.googleapis.com",
 ):
+    """
+    To obtain evaluation_id run the following commands where LOCATION
+    is the region where the model is stored, PROJECT is the project ID,
+    and MODEL_ID is the ID of your model.
+
+    model_client = aiplatform.gapic.ModelServiceClient(
+        client_options={
+            'api_endpoint':'LOCATION-aiplatform.googleapis.com'
+            }
+        )
+    evaluations = model_client.list_model_evaluations(parent='projects/PROJECT/locations/LOCATION/models/MODEL_ID')
+    print("evaluations:", evaluations)
+    """
     # The AI Platform services require regional API endpoints.
     client_options = {"api_endpoint": api_endpoint}
     # Initialize client that will be used to create and send requests.

samples/snippets/model_service/get_model_evaluation_tabular_regression_sample_test.py

@@ -17,8 +17,8 @@
 import get_model_evaluation_sample
 
 PROJECT_ID = os.getenv("BUILD_SPECIFIC_GCLOUD_PROJECT")
-MODEL_ID = "8842430840248991744"  # bq all
-EVALUATION_ID = "4944816689650806017"  # bq all evaluation
+MODEL_ID = "626638064948609024"  # bq all
+EVALUATION_ID = "3002272024979570688"  # bq all evaluation
 
 
 def test_ucaip_generated_get_model_evaluation_sample(capsys):

samples/snippets/model_service/get_model_evaluation_text_classification_sample.py

@@ -23,6 +23,19 @@ def get_model_evaluation_text_classification_sample(
     location: str = "us-central1",
     api_endpoint: str = "us-central1-aiplatform.googleapis.com",
 ):
+    """
+    To obtain evaluation_id run the following commands where LOCATION
+    is the region where the model is stored, PROJECT is the project ID,
+    and MODEL_ID is the ID of your model.
+
+    model_client = aiplatform.gapic.ModelServiceClient(
+        client_options={
+            'api_endpoint':'LOCATION-aiplatform.googleapis.com'
+            }
+        )
+    evaluations = model_client.list_model_evaluations(parent='projects/PROJECT/locations/LOCATION/models/MODEL_ID')
+    print("evaluations:", evaluations)
+    """
     # The AI Platform services require regional API endpoints.
     client_options = {"api_endpoint": api_endpoint}
     # Initialize client that will be used to create and send requests.

samples/snippets/model_service/get_model_evaluation_text_entity_extraction_sample.py

@@ -23,6 +23,19 @@ def get_model_evaluation_text_entity_extraction_sample(
     location: str = "us-central1",
     api_endpoint: str = "us-central1-aiplatform.googleapis.com",
 ):
+    """
+    To obtain evaluation_id run the following commands where LOCATION
+    is the region where the model is stored, PROJECT is the project ID,
+    and MODEL_ID is the ID of your model.
+
+    model_client = aiplatform.gapic.ModelServiceClient(
+        client_options={
+            'api_endpoint':'LOCATION-aiplatform.googleapis.com'
+            }
+        )
+    evaluations = model_client.list_model_evaluations(parent='projects/PROJECT/locations/LOCATION/models/MODEL_ID')
+    print("evaluations:", evaluations)
+    """
     # The AI Platform services require regional API endpoints.
     client_options = {"api_endpoint": api_endpoint}
     # Initialize client that will be used to create and send requests.

samples/snippets/model_service/get_model_evaluation_text_sentiment_analysis_sample.py

@@ -23,6 +23,19 @@ def get_model_evaluation_text_sentiment_analysis_sample(
     location: str = "us-central1",
     api_endpoint: str = "us-central1-aiplatform.googleapis.com",
 ):
+    """
+    To obtain evaluation_id run the following commands where LOCATION
+    is the region where the model is stored, PROJECT is the project ID,
+    and MODEL_ID is the ID of your model.
+
+    model_client = aiplatform.gapic.ModelServiceClient(
+        client_options={
+            'api_endpoint':'LOCATION-aiplatform.googleapis.com'
+            }
+        )
+    evaluations = model_client.list_model_evaluations(parent='projects/PROJECT/locations/LOCATION/models/MODEL_ID')
+    print("evaluations:", evaluations)
+    """
     # The AI Platform services require regional API endpoints.
     client_options = {"api_endpoint": api_endpoint}
     # Initialize client that will be used to create and send requests.

samples/snippets/model_service/get_model_evaluation_video_action_recognition_sample.py

@@ -23,6 +23,19 @@ def get_model_evaluation_video_action_recognition_sample(
     location: str = "us-central1",
     api_endpoint: str = "us-central1-aiplatform.googleapis.com",
 ):
+    """
+    To obtain evaluation_id run the following commands where LOCATION
+    is the region where the model is stored, PROJECT is the project ID,
+    and MODEL_ID is the ID of your model.
+
+    model_client = aiplatform.gapic.ModelServiceClient(
+        client_options={
+            'api_endpoint':'LOCATION-aiplatform.googleapis.com'
+            }
+        )
+    evaluations = model_client.list_model_evaluations(parent='projects/PROJECT/locations/LOCATION/models/MODEL_ID')
+    print("evaluations:", evaluations)
+    """
     # The AI Platform services require regional API endpoints.
     client_options = {"api_endpoint": api_endpoint}
     # Initialize client that will be used to create and send requests.

samples/snippets/model_service/get_model_evaluation_video_classification_sample.py

@@ -23,6 +23,19 @@ def get_model_evaluation_video_classification_sample(
     location: str = "us-central1",
     api_endpoint: str = "us-central1-aiplatform.googleapis.com",
 ):
+    """
+    To obtain evaluation_id run the following commands where LOCATION
+    is the region where the model is stored, PROJECT is the project ID,
+    and MODEL_ID is the ID of your model.
+
+    model_client = aiplatform.gapic.ModelServiceClient(
+        client_options={
+            'api_endpoint':'LOCATION-aiplatform.googleapis.com'
+            }
+        )
+    evaluations = model_client.list_model_evaluations(parent='projects/PROJECT/locations/LOCATION/models/MODEL_ID')
+    print("evaluations:", evaluations)
+    """
     # The AI Platform services require regional API endpoints.
     client_options = {"api_endpoint": api_endpoint}
     # Initialize client that will be used to create and send requests.

samples/snippets/model_service/get_model_evaluation_video_object_tracking_sample.py

@@ -23,6 +23,19 @@ def get_model_evaluation_video_object_tracking_sample(
     location: str = "us-central1",
     api_endpoint: str = "us-central1-aiplatform.googleapis.com",
 ):
+    """
+    To obtain evaluation_id run the following commands where LOCATION
+    is the region where the model is stored, PROJECT is the project ID,
+    and MODEL_ID is the ID of your model.
+
+    model_client = aiplatform.gapic.ModelServiceClient(
+        client_options={
+            'api_endpoint':'LOCATION-aiplatform.googleapis.com'
+            }
+        )
+    evaluations = model_client.list_model_evaluations(parent='projects/PROJECT/locations/LOCATION/models/MODEL_ID')
+    print("evaluations:", evaluations)
+    """
     # The AI Platform services require regional API endpoints.
     client_options = {"api_endpoint": api_endpoint}
     # Initialize client that will be used to create and send requests.

samples/snippets/model_service/list_model_evaluation_slices_sample.py

@@ -23,6 +23,19 @@ def list_model_evaluation_slices_sample(
     location: str = "us-central1",
     api_endpoint: str = "us-central1-aiplatform.googleapis.com",
 ):
+    """
+    To obtain evaluation_id run the following commands where LOCATION
+    is the region where the model is stored, PROJECT is the project ID,
+    and MODEL_ID is the ID of your model.
+
+    model_client = aiplatform.gapic.ModelServiceClient(
+        client_options={
+            'api_endpoint':'LOCATION-aiplatform.googleapis.com'
+            }
+        )
+    evaluations = model_client.list_model_evaluations(parent='projects/PROJECT/locations/LOCATION/models/MODEL_ID')
+    print("evaluations:", evaluations)
+    """
     # The AI Platform services require regional API endpoints.
     client_options = {"api_endpoint": api_endpoint}
     # Initialize client that will be used to create and send requests.