fixing stuff

Author: Larry Franks

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)

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