How to improve the LUIS app by reviewing endpoint utterances
The process of reviewing endpoint utterances for correct predictions is called Active learning. Active learning captures endpoint queries and selects user's endpoint utterances that it is unsure of. You review these utterances to select the intent and mark entities for these real-world utterances. Accept these changes into your example utterances then train and publish. LUIS then identifies utterances more accurately.
Enable active learning
To enable active learning, you must log user queries. This is accomplished by calling the endpoint query with the
log=true querystring parameter and value.
Use the LUIS portal to construct the correct endpoint query.
Sign in to the LUIS portal, and select your Subscription and Authoring resource to see the apps assigned to that authoring resource.
Open your app by selecting its name on My Apps page.
Go to the Manage section, then select Azure resources.
For the assigned prediction resource, select Change query parameters.
Toggle Save logs then save by selecting Done.
This action changes the example URL by adding the
log=truequerystring parameter. Copy and use the changed example query URL when making prediction queries to the runtime endpoint.
Correct intent predictions to align utterances
Each utterance has a suggested intent displayed in the Aligned intent column.
If you agree with that intent, select the check mark. If you disagree with the suggestion, select the correct intent from the aligned intent drop-down list, then select on the check mark to the right of the aligned intent. After you select on the check mark, the utterance is moved to the intent and removed from the Review Endpoint Utterances list.
It is important to go to the Intent details page to review and correct the entity predictions from all example utterances from the Review Endpoint Utterances list.
Each utterance can be deleted from the review list. Once deleted, it will not appear in the list again. This is true even if the user enters the same utterance from the endpoint.
If you are unsure if you should delete the utterance, either move it to the None intent, or create a new intent such as
miscellaneous and move the utterance to that intent.
Disable active learning
To disable active learning, don't log user queries. This is accomplished by setting the endpoint query with the
log=false querystring parameter and value or not using the querystring value because the default value is false.
To test how performance improves after you label suggested utterances, you can access the test console by selecting Test in the top panel. For instructions on how to test your app using the test console, see Train and test your app.