Merge pull request #209331 from Blackmist/metrics-quota

fixing stuff

Author: v-dirichards

articles/machine-learning/.openpublishing.redirection.machine-learning.json

@@ -58,8 +58,13 @@
     },
     {
         "source_path_from_root": "/articles/machine-learning/resource-limits-quotas-capacity.md",
-        "redirect_url": "/azure/machine-learning/resource-limits-capacity",
-        "redirect_document_id": true
+        "redirect_url": "/azure/machine-learning/how-to-manage-quotas",
+        "redirect_document_id": false
+    },
+    {
+        "source_path_from_root": "/articles/machine-learning/resource-limits-capacity.md",
+        "redirect_url": "/azure/machine-learning/how-to-manage-quotas",
+        " redirect_document_id": true
     },
     {
         "source_path_from_root": "/articles/machine-learning/tutorial-train-models-with-aml.md",

articles/machine-learning/resource-limits-capacity.md

@@ -760,8 +760,6 @@
       href: https://azure.microsoft.com/roadmap/
     - name: Pricing
       href: https://azure.microsoft.com/pricing/details/machine-learning-services/
-    - name: Service limits
-      href: resource-limits-capacity.md
     - name: Conda licensing
       href: /legal/machine-learning/conda-licensing
     - name: Regional availability

articles/machine-learning/toc.yml

@@ -15,6 +15,8 @@ ms.topic: how-to
 
 # Log & view metrics and log files v1
 
+[!INCLUDE [sdk v1](../../../includes/machine-learning-sdk-v1.md)]
+
 > [!div class="op_single_selector" title1="Select the version of Azure Machine Learning Python SDK you are using:"]
 > * [v1](how-to-log-view-metrics.md)
 > * [v2 (preview)](../how-to-log-view-metrics.md)
@@ -157,7 +159,7 @@ This folder contains information about the user generated logs. This folder is o
 
 #### system_logs folder
 
-This folder contains the logs generated by Azure Machine Learning and it will be closed by default.The logs generated by the system are grouped into different folders, based on the stage of the job in the runtime.
+This folder contains the logs generated by Azure Machine Learning and it will be closed by default. The logs generated by the system are grouped into different folders, based on the stage of the job in the runtime.
 
 #### Other folders
 

articles/machine-learning/v1/how-to-log-view-metrics.md

@@ -167,7 +167,8 @@
     - name: Track experiments with MLflow 
       displayName: log, monitor, metrics, model registry, register
       href: how-to-use-mlflow.md  
-    
+    - name: Log & view metrics
+      href: how-to-log-view-metrics.md
     - name: Interpret ML models
       displayName: SDK, interpret, explain, explainability, interpretability
       href: ../how-to-machine-learning-interpretability-aml.md