Rename delete_endpoint as delete_predictor

Author: bveeramani

src/sagemaker/predictor.py

@@ -62,7 +62,7 @@ def predict(self, *args, **kwargs) -> Any:
         """Perform inference on the provided data and return a prediction."""
 
     @abc.abstractmethod
-    def delete_endpoint(self, *args, **kwargs) -> None:
+    def delete_predictor(self, *args, **kwargs) -> None:
         """Destroy resources associated with this predictor."""
 
     @property
@@ -330,6 +330,8 @@ def delete_endpoint(self, delete_endpoint_config=True):
 
         self.sagemaker_session.delete_endpoint(self.endpoint_name)
 
+    delete_predictor = delete_endpoint
+
     def delete_model(self):
         """Deletes the Amazon SageMaker models backing this predictor."""
         request_failed = False

src/sagemaker/serverless/predictor.py

@@ -61,7 +61,7 @@ def predict(self, data: dict) -> dict:
             response["ResponseMetadata"]["HTTPHeaders"]["content-type"],
         )
 
-    def delete_endpoint(self) -> None:
+    def delete_predictor(self) -> None:
         """Destroy the Lambda function specified in the constructor."""
         self._client.delete_function(FunctionName=self._function_name)
 

tests/unit/sagemaker/serverless/test_predictor.py

@@ -48,7 +48,7 @@ def test_predict(mock_client):
 def test_delete_endpoint(mock_client):
     predictor = LambdaPredictor(FUNCTION_NAME, client=mock_client)
 
-    predictor.delete_endpoint()
+    predictor.delete_predictor()
 
     mock_client.delete_function.assert_called_once()
     _, kwargs = mock_client.delete_function.call_args