Merge pull request #111079 from luisquintanilla/patch-1

Updated interpretability article title

Author: Jak-MS

articles/machine-learning/how-to-machine-learning-interpretability-aml.md

@@ -1,5 +1,5 @@
 ---
-title: Model interpretability for local and remote runs
+title: Explain machine learning models and predictions
 titleSuffix: Azure Machine Learning
 description: Learn how to get explanations for how your machine learning model determines feature importance and makes predictions when using the Azure Machine Learning SDK.
 services: machine-learning
@@ -9,10 +9,10 @@ ms.topic: conceptual
 ms.author: mesameki
 author: mesameki
 ms.reviewer: Luis.Quintanilla
-ms.date: 04/02/2020
+ms.date: 04/12/2020
 ---
 
-# Model interpretability for local and remote runs
+# Explain machine learning models and predictions
 
 [!INCLUDE [applies-to-skus](../../includes/aml-applies-to-basic-enterprise-sku.md)]
 
@@ -25,7 +25,6 @@ In this how-to guide, you learn to use the interpretability package of the Azure
 
 * Explain the behavior for the entire model and individual predictions in Azure.
 
- 
 * Use a visualization dashboard to interact with your model explanations.
 
 * Deploy a scoring explainer alongside your model to observe explanations during inferencing.

articles/machine-learning/toc.yml

@@ -267,13 +267,13 @@
       href: how-to-train-keras.md
     - name: PyTorch
       href: how-to-train-pytorch.md
-  - name: Interpret models
+  - name: Explain models
     displayName: interpretability
     items:
-    - name: Interpret local and remote models
+    - name: Explain ML models
       displayName: SDK, interpret
       href: how-to-machine-learning-interpretability-aml.md
-    - name: Interpret automated ML models
+    - name: Explain automated ML models
       displayName: SDK, interpret, automl
       href: how-to-machine-learning-interpretability-automl.md
   - name: Automate machine learning