The application ID of the trained LUIS app. An Endpoint URI and API key are also needed. The Microsoft Software License Terms must be present with a value of accept. Three primary parameters for all Cognitive Services containers are required. If you are getting LUIS packaged app from the authoring APIs, you will also need your Authoring Key. You can get the packaged file from the LUIS portal or the Authoring APIs.

A trained or published app packaged as a mounted input to the container with its associated App ID.

A LUIS resource with the free (F0) or standard (S) pricing tier.

You should have a basic understanding of Docker concepts.

On Windows, Docker must also be configured to support Linux containers.

Docker must be configured to allow the containers to connect with and send billing data to Azure. To run the LUIS container, note the following prerequisites: If you don't have an Azure subscription, create a free account before you begin.

The following video demonstrates using this container. You can collect query logs from the container and upload them back to the Language Understanding app to improve the app's prediction accuracy.

As a LUIS app, the docker container provides access to the query predictions from the container's API endpoints. The Language Understanding (LUIS) container loads your trained or published Language Understanding model. In this article you'll learn how to download, install, and run a LUIS container. Containers are great for specific security and data governance requirements. Read this article to see the updated location for this container.Ĭontainers enable you to use LUIS in your own environment. The container image location has recently changed.

Microsoft edge app container id