Remove ms.subservice = mlops paired with ms.service = machine-learning. Replaced by ms.subservice = mlops paired with ms.service = azure-machine-learning

Docs Allowlist Management · Docs Allowlist Management · commit b5ce04dc53d1 · 2024-07-31T03:48:32.000Z
diff --git a/articles/machine-learning/concept-data-collection.md b/articles/machine-learning/concept-data-collection.md
@@ -5,7 +5,7 @@ description: Collect inference data from models deployed on Azure Machine Learni
 services: machine-learning
 author: msakande
 ms.author: mopeakande
-ms.service: machine-learning
+ms.service: azure-machine-learning
 ms.subservice: mlops
 ms.reviewer: alehughes
 ms.topic: conceptual 
diff --git a/articles/machine-learning/concept-mlflow-models.md b/articles/machine-learning/concept-mlflow-models.md
@@ -6,7 +6,7 @@ services: machine-learning
 author: msakande
 ms.author: mopeakande
 ms.reviewer: fasantia
-ms.service: machine-learning
+ms.service: azure-machine-learning
 ms.subservice: mlops
 ms.date: 12/20/2023
 ms.topic: conceptual
diff --git a/articles/machine-learning/concept-mlflow.md b/articles/machine-learning/concept-mlflow.md
@@ -6,7 +6,7 @@ services: machine-learning
 author: msakande
 ms.author: mopeakande
 ms.reviewer: fasantia
-ms.service: machine-learning
+ms.service: azure-machine-learning
 ms.subservice: mlops
 ms.date: 01/10/2024
 ms.topic: conceptual
diff --git a/articles/machine-learning/concept-model-management-and-deployment.md b/articles/machine-learning/concept-model-management-and-deployment.md
@@ -3,7 +3,7 @@ title: 'MLOps: Machine learning model management'
 titleSuffix: Azure Machine Learning
 description: 'Learn about model management (MLOps) with Azure Machine Learning. Deploy, manage, track lineage, and monitor your models to continuously improve them.'
 services: machine-learning
-ms.service: machine-learning
+ms.service: azure-machine-learning
 ms.subservice: mlops
 ms.topic: conceptual
 author: msakande
diff --git a/articles/machine-learning/concept-model-monitoring.md b/articles/machine-learning/concept-model-monitoring.md
@@ -5,7 +5,7 @@ description: Monitor the performance of models deployed to production on Azure M
 services: machine-learning
 author: msakande
 ms.author: mopeakande
-ms.service: machine-learning
+ms.service: azure-machine-learning
 ms.subservice: mlops
 ms.reviewer: alehughes
 ms.topic: conceptual
diff --git a/articles/machine-learning/concept-package-models.md b/articles/machine-learning/concept-package-models.md
@@ -5,7 +5,7 @@ description:  Learn how the use of model packages in Azure Machine Learning is u
 author: msakande
 ms.author: mopeakande
 ms.reviewer: cacrest
-ms.service: machine-learning
+ms.service: azure-machine-learning
 ms.subservice: mlops
 ms.date: 12/08/2023
 ms.topic: concept-article
diff --git a/articles/machine-learning/how-to-collect-production-data.md b/articles/machine-learning/how-to-collect-production-data.md
@@ -3,7 +3,7 @@ title: Collect production data from models deployed for real-time inferencing
 titleSuffix: Azure Machine Learning
 description: Collect inference data from a model deployed to a real-time endpoint on Azure Machine Learning.
 services: machine-learning
-ms.service: machine-learning
+ms.service: azure-machine-learning
 ms.subservice: mlops
 ms.topic: how-to
 author: msakande
diff --git a/articles/machine-learning/how-to-convert-custom-model-to-mlflow.md b/articles/machine-learning/how-to-convert-custom-model-to-mlflow.md
@@ -6,7 +6,7 @@ services: machine-learning
 author: msakande
 ms.author: mopeakande
 ms.reviewer: fasantia
-ms.service: machine-learning
+ms.service: azure-machine-learning
 ms.subservice: mlops
 ms.date: 04/15/2022
 ms.topic: how-to
diff --git a/articles/machine-learning/how-to-deploy-mlflow-models.md b/articles/machine-learning/how-to-deploy-mlflow-models.md
@@ -3,7 +3,7 @@ title: Guidelines for deploying MLflow models
 titleSuffix: Azure Machine Learning
 description: Learn to deploy your MLflow model to the deployment targets supported by Azure Machine Learning.
 services: machine-learning
-ms.service: machine-learning
+ms.service: azure-machine-learning
 ms.subservice: mlops
 author: msakande
 ms.author: mopeakande
diff --git a/articles/machine-learning/how-to-log-mlflow-models.md b/articles/machine-learning/how-to-log-mlflow-models.md
@@ -6,7 +6,7 @@ services: machine-learning
 author: msakande
 ms.author: mopeakande
 ms.reviewer: fasantia
-ms.service: machine-learning
+ms.service: azure-machine-learning
 ms.subservice: mlops
 ms.date: 02/16/2024
 ms.topic: conceptual
diff --git a/articles/machine-learning/how-to-log-view-metrics.md b/articles/machine-learning/how-to-log-view-metrics.md
@@ -6,7 +6,7 @@ services: machine-learning
 ms.author: mopeakande
 author: msakande
 ms.reviewer: fasantia
-ms.service: machine-learning
+ms.service: azure-machine-learning
 ms.subservice: mlops
 ms.date: 04/26/2024
 ms.topic: how-to
diff --git a/articles/machine-learning/how-to-monitor-model-performance.md b/articles/machine-learning/how-to-monitor-model-performance.md
@@ -3,7 +3,7 @@ title: Monitor performance of models deployed to production
 titleSuffix: Azure Machine Learning
 description: Monitor the performance of models deployed to production in Azure Machine Learning
 services: machine-learning
-ms.service: machine-learning
+ms.service: azure-machine-learning
 ms.subservice: mlops
 ms.topic: how-to
 author: msakande
diff --git a/articles/machine-learning/how-to-monitor-online-endpoints.md b/articles/machine-learning/how-to-monitor-online-endpoints.md
@@ -3,7 +3,7 @@ title: Monitor online endpoints
 titleSuffix: Azure Machine Learning
 description: Monitor online endpoints and create alerts with Application Insights.
 services: machine-learning
-ms.service: machine-learning
+ms.service: azure-machine-learning
 ms.reviewer: None
 author: msakande
 ms.author: mopeakande
diff --git a/articles/machine-learning/how-to-package-models-app-service.md b/articles/machine-learning/how-to-package-models-app-service.md
@@ -5,7 +5,7 @@ description:  Learn how you can package a model to deploy outside of Azure Machi
 author: msakande
 ms.author: mopeakande
 ms.reviewer: fasantia
-ms.service: machine-learning
+ms.service: azure-machine-learning
 ms.subservice: mlops
 ms.date: 12/08/2023
 ms.topic: how-to
diff --git a/articles/machine-learning/how-to-package-models-moe.md b/articles/machine-learning/how-to-package-models-moe.md
@@ -5,7 +5,7 @@ description: Learn how you can package a model and deploy it for online inferenc
 author: msakande
 ms.author: mopeakande
 ms.reviewer: fasantia
-ms.service: machine-learning
+ms.service: azure-machine-learning
 ms.subservice: mlops
 ms.date: 12/08/2023
 ms.topic: how-to
diff --git a/articles/machine-learning/how-to-package-models.md b/articles/machine-learning/how-to-package-models.md
@@ -5,7 +5,7 @@ description: Learn how you can package a model and deploy it for online inferenc
 author: msakande
 ms.author: mopeakande
 ms.reviewer: fasantia
-ms.service: machine-learning
+ms.service: azure-machine-learning
 ms.subservice: mlops
 ms.custom: devx-track-python, update-code
 ms.date: 12/08/2023
diff --git a/articles/machine-learning/how-to-safely-rollout-online-endpoints.md b/articles/machine-learning/how-to-safely-rollout-online-endpoints.md
@@ -3,7 +3,7 @@ title: Safe rollout for online endpoints
 titleSuffix: Azure Machine Learning
 description: Roll out newer versions of ML models without disruption.
 services: machine-learning
-ms.service: machine-learning
+ms.service: azure-machine-learning
 ms.subservice: mlops
 author: msakande
 ms.author: mopeakande
diff --git a/articles/machine-learning/how-to-use-mlflow-cli-runs.md b/articles/machine-learning/how-to-use-mlflow-cli-runs.md
@@ -5,7 +5,7 @@ description:  Use MLflow to log metrics and artifacts from machine learning runs
 author: msakande
 ms.author: mopeakande
 ms.reviewer: fasantia
-ms.service: machine-learning
+ms.service: azure-machine-learning
 ms.subservice: mlops
 ms.date: 02/15/2024
 ms.topic: how-to
diff --git a/articles/machine-learning/how-to-use-mlflow-configure-tracking.md b/articles/machine-learning/how-to-use-mlflow-configure-tracking.md
@@ -6,7 +6,7 @@ services: machine-learning
 author: msakande
 ms.author: mopeakande
 ms.reviewer: fasantia
-ms.service: machine-learning
+ms.service: azure-machine-learning
 ms.subservice: mlops
 ms.date: 01/19/2024
 ms.topic: how-to
diff --git a/articles/machine-learning/reference-yaml-deployment-managed-online.md b/articles/machine-learning/reference-yaml-deployment-managed-online.md
@@ -3,7 +3,7 @@ title: 'CLI (v2) managed online deployment YAML schema'
 titleSuffix: Azure Machine Learning
 description: Reference documentation for the CLI (v2) managed online deployment YAML schema.
 services: machine-learning
-ms.service: machine-learning
+ms.service: azure-machine-learning
 ms.subservice: mlops
 ms.topic: reference
 ms.custom: cliv2, build-2023
diff --git a/articles/machine-learning/reference-yaml-endpoint-online.md b/articles/machine-learning/reference-yaml-endpoint-online.md
@@ -3,7 +3,7 @@ title: 'Online endpoints YAML reference'
 titleSuffix: Azure Machine Learning
 description: Learn about the YAML files used to deploy models as online endpoints
 services: machine-learning
-ms.service: machine-learning
+ms.service: azure-machine-learning
 ms.subservice: mlops
 ms.topic: how-to
 ms.custom: cliv2
diff --git a/articles/machine-learning/reference-yaml-monitor.md b/articles/machine-learning/reference-yaml-monitor.md
@@ -3,7 +3,7 @@ title: 'CLI (v2) schedule YAML schema for model monitoring'
 titleSuffix: Azure Machine Learning
 description: Reference documentation for the CLI (v2) schedule YAML schema for model monitoring.
 services: machine-learning
-ms.service: machine-learning
+ms.service: azure-machine-learning
 ms.subservice: mlops
 ms.topic: reference
 ms.custom: cliv2
diff --git a/articles/machine-learning/v1/concept-model-management-and-deployment.md b/articles/machine-learning/v1/concept-model-management-and-deployment.md
@@ -3,7 +3,7 @@ title: 'MLOps: ML model management v1'
 titleSuffix: Azure Machine Learning
 description: 'Learn about model management (MLOps) with Azure Machine Learning. Deploy, manage, track lineage and monitor your models to continuously improve them. (v1)'
 services: machine-learning
-ms.service: machine-learning
+ms.service: azure-machine-learning
 ms.subservice: mlops
 ms.topic: conceptual
 author: msakande
diff --git a/articles/machine-learning/v1/how-to-deploy-advanced-entry-script.md b/articles/machine-learning/v1/how-to-deploy-advanced-entry-script.md
@@ -3,7 +3,7 @@ title: Entry script authoring for advanced scenarios
 titleSuffix: Azure Machine Learning
 description: Learn how to write Azure Machine Learning entry scripts for pre- and post-processing during deployment.
 services: machine-learning
-ms.service: machine-learning
+ms.service: azure-machine-learning
 ms.subservice: mlops
 ms.topic: how-to
 ms.date: 03/12/2024
