RAI v1 retire

Author: lgayhardt

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

@@ -4339,6 +4339,21 @@
         "source_path_from_root": "/articles/machine-learning/security-baseline.md",
         "redirect_url": "/security/benchmark/azure/baselines/machine-learning-security-baseline",
         "redirect_document_id": false
+    },
+    {
+        "source_path_from_root": "/articles/machine-learning/v1/how-to-machine-learning-interpretability-aml.md",
+        "redirect_url": "/azure/machine-learning/how-to-machine-learning-interpretability",
+        "redirect_document_id": false
+    },
+    {
+        "source_path_from_root": "/articles/machine-learning/v1/how-to-machine-learning-fairness-aml.md",
+        "redirect_url": "/azure/machine-learning/concept-fairness-ml",
+        "redirect_document_id": false
+    },
+    {
+        "source_path_from_root": "/articles/machine-learning/v1/how-to-machine-learning-interpretability-automl.md",
+        "redirect_url": "/azure/machine-learning/how-to-machine-learning-interpretability",
+        "redirect_document_id": false
     }
 ]
 }

articles/machine-learning/toc.yml

@@ -794,14 +794,6 @@ items:
       - name: Fairness in Machine Learning
         displayName: fairness, bias, model performance, disparity metrics, unfairness
         href: concept-fairness-ml.md
-    # v1
-      - name: Interpret ML models
-        href: ./v1/how-to-machine-learning-interpretability-aml.md
-      - name: Explain automated ML models
-        href: ./v1/how-to-machine-learning-interpretability-automl.md
-      - name: Fairness in Machine Learning
-        href: ./v1/how-to-machine-learning-fairness-aml.md
-    # end v1
       - name: Causal analysis
         href: concept-causal-inference.md
       - name: Assess errors in ML models