RAI automl and private python package move to v1 toc

Author: lgayhardt

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

@@ -3444,6 +3444,16 @@
         "source_path_from_root": "/articles/machine-learning/v1/how-to-differential-privacy.md",
         "redirect_url": "/azure/machine-learning/concept-responsible-ml#privacy-and-security",
         "redirect_document_id": false
+    },
+    {
+        "source_path_from_root": "/articles/machine-learning/how-to-machine-learning-interpretability-automl.md",
+        "redirect_url": "/azure/machine-learning/v1/how-to-machine-learning-interpretability-automl",
+        "redirect_document_id": true
+    },
+    {
+        "source_path_from_root": "/articles/machine-learning/how-to-use-private-python-packages.md",
+        "redirect_url": "/azure/machine-learning/v1/how-to-use-private-python-packages",
+        "redirect_document_id": true
     }
 ]
 }

articles/machine-learning/toc.yml

@@ -376,9 +376,6 @@
         - name: Set up software environments
           displayName: pip, Conda, anaconda
           href: how-to-use-environments.md
-        - name: Use private Python packages
-          displayName: pip, Conda, anaconda
-          href: how-to-use-private-python-packages.md
         - name: Set input & output directories
           displayName: large data, write, experiment files, size limit
           href: how-to-save-write-experiment-files.md
@@ -529,9 +526,6 @@
             - name: Inference image models with ONNX model
               displayName: automl, image, image model, computer vision
               href: how-to-inference-onnx-automl-image-models.md
-            - name: Explain automated ML models
-              displayName: SDK, interpret, interpret, explain, explainability, interpretability, automated ML, automl, auto ml
-              href: how-to-machine-learning-interpretability-automl.md
             - name: Troubleshoot automated ML
               href: how-to-troubleshoot-auto-ml.md
     - name: Deploy models

articles/machine-learning/how-to-machine-learning-interpretability-automl.md renamed to articles/machine-learning/v1/how-to-machine-learning-interpretability-automl.md

@@ -118,6 +118,9 @@
     href: how-to-manage-workspace-cli.md
   - name: Set up software environments CLI (v1)
     href: how-to-use-environments.md
+  - name: Use private Python packages
+    displayName: pip, Conda, anaconda
+    href: how-to-use-private-python-packages.md
   - name: Create & manage compute resources
   - name: Workspace Diagnostics
     href: how-to-workspace-diagnostic-api.md
@@ -265,6 +268,9 @@
       href: how-to-prepare-datasets-for-automl-images-v1.md
     - name: Reinforcement learning
       href: how-to-use-reinforcement-learning.md
+    - name: Explain automated ML models
+      displayName: SDK, interpret, interpret, explain, explainability, interpretability, automated ML, automl, auto ml
+      href: how-to-machine-learning-interpretability-automl.md
   - name: Deploy models
     items:
     - name: Where and how to deploy