[Cogsvcs] Personalizer - clear data

Author: diberry

articles/cognitive-services/personalizer/how-to-settings.md

@@ -84,6 +84,21 @@ From the Resource management's section for **Model and Policy**, review model cr
 From the Resource management's section for **Model and Policy**, import a new learning policy or export the current learning policy.
 You can get learning policy files from previous exports, or downloading the optimized policies discovered during Offline Evaluations. Making manual changes to these files will affect machine learning performance and accuracy of offline evaluations, and Microsoft cannot vouch for the accuracy of machine learning and evaluations, or service exceptions resulting from manually edited policies.
 
+## Clear data for your learning loop
+
+1. In the Azure portal, for your Personalizer resource, on the **Model and Policy** page, select **Clear data**.
+1. In order to clear all data, and reset the learning loop to the original state, select all 3 check boxes.
+
+    ![In Azure portal, clear data from Personalizer resource.](./media/settings/clear-data-from-personalizer-resource.png)
+
+    |Setting|Purpose|
+    |--|--|
+    |Logged personalization and reward data.|This logging data is used in offline evaluations. Clear the data if you are resetting your resource.|
+    |Reset the Personalizer model.|This model changes on every retraining. This frequency of training is specified in **upload model frequency** on the **Settings** page. |
+    |Set the learning policy to default.|If you have changed the learning policy as part of an offline evaluation, this resets to the original learning policy.|
+
+1. Select **Clear selected data** to begin the clearning process. Status is reported in Azure notifications, in the top right navigation. 
+
 ## Next steps
 
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