toc and other fixes

Author: lgayhardt

articles/machine-learning/how-to-responsible-ai-dashboard-sdk.md renamed to articles/machine-learning/how-to-responsible-ai-dashboard-sdk-cli.md

@@ -16,7 +16,7 @@ ms.custom: responsible-ml
 
 The Responsible AI (RAI) dashboard can be generated via a pipeline job using RAI components. There are six core components for creating Responsible AI dashboards, along with a couple of helper components. A sample experiment graph:
 
-:::image type="content" source="./media/how-to-responsible-ai-dashboard-sdk/sample-experiment-graph.png" alt-text="Screenshot of a sample experiment graph.":::
+:::image type="content" source="./media/how-to-responsible-ai-dashboard-sdk-cli/sample-experiment-graph.png" alt-text="Screenshot of a sample experiment graph.":::
 
 ## Getting started
 

articles/machine-learning/how-to-responsible-ai-dashboard.md

@@ -150,7 +150,7 @@ Selecting the "Feature list" button opens a side panel, which allows you to retr
 2. **Features:** lists the name of the feature in the dataset.
 3. **Importances**: A guideline for how related the feature may be to the error. Calculated via mutual information score between the feature and the error on the labels. You can use this score to help you decide which features to choose in Error Analysis.
 4. **Check mark**: allows you to add or remove the feature from the tree map.
-5.**Maximum depth**: The maximum depth of the surrogate tree trained on errors.
+5. **Maximum depth**: The maximum depth of the surrogate tree trained on errors.
 6. **Number of leaves**: The number of leaves of the surrogate tree trained on errors.
 7. **Minimum number of samples in one leaf**: The minimum number of data required to create one leaf.
 

articles/machine-learning/media/how-to-responsible-ai-dashboard-sdk/sample-experiment-graph.png renamed to articles/machine-learning/media/how-to-responsible-ai-dashboard-sdk-cli/sample-experiment-graph.png

@@ -539,6 +539,9 @@
             - 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
@@ -658,27 +661,18 @@
         - name: Manage resources VS Code
           displayName: vscode,resources
           href: how-to-manage-resources-vscode.md
-    - name: Responsible AI
+    - name: Implement Responsible AI in Practice
       items:
-        - name: Interpret & explain models
-          displayName: interpretability
-          items: 
-            - name: Interpret ML models
-              displayName: SDK, interpret, explain, explainability, interpretability
-              href: how-to-machine-learning-interpretability-aml.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: Responsible AI dashboard
+        - name: Generate Responsible AI dashboard
+          items:
+            - name: Responsible AI dashboard (V2)
+              href: how-to-responsible-ai-dashboard-sdk-cli.md
+            - name: Responsible AI dashboard (UI)
+              href: how-to-responsible-ai-dashboard-ui.md
+        - name: Using the Responsible AI dashboard in studio
           href: how-to-responsible-ai-dashboard.md
-        - name: Responsible AI dashboard (SDK)
-          href: how-to-responsible-ai-dashboard-sdk.md
-        - name: Responsible AI dashboard (UI)
-          href: how-to-responsible-ai-dashboard-ui.md
-        - name: Assess and mitigate model fairness
-          href: how-to-machine-learning-fairness-aml.md
-        - name: how-to-responsible-ai-scorecard.md
-          href: 
+        - name: Responsible AI dashboard scorecard
+          href: how-to-responsible-ai-scorecard.md
 - name: Troubleshoot & debug
   items: 
     - name: VS Code interactive debugging

articles/machine-learning/media/how-to-responsible-ai-dashboard/error-analysis-feature-selection.png

@@ -64,6 +64,11 @@
     - name: Auto-train a natural language processing model
       displayName: nlp, auto ML, automl, SDK
       href: how-to-auto-train-nlp-models-v1.md
+    - name: Interpret ML models
+      displayName: SDK, interpret, explain, explainability, interpretability
+      href: how-to-machine-learning-interpretability-aml.md
+    - name: Assess and mitigate model fairness
+      href: how-to-machine-learning-fairness-aml.md
   - name: Deploy models
     items:
     - name: Where and how to deploy