Create an endpoint

We will now create an endpoint for our Movie Recommendation model to allow external applications to interact with the model seamlessly and get recommendations.

  1. Navigate to the Endpoints component in the left menu and click Create Endpoint. endpoints

  2. Name the endpoint Movie Recommendation, choose the model as Movie Recommendation model, and click Create Endpoint. endpoint-name

  3. On the endpoint’s details page, you can test the model by providing a sample request and clicking Get Result. For the request, you can provide the model with a user’s demographic and identifying details, and it will respond with the movie IDs it predicts that the user is most likely to enjoy, sorted in recommendation order. predict

  4. Click Publish on the top right corner of the page and use the endpoint URL to integrate the ML model with any other applications. publish

Note : You can also check out this document to implement pipeline authentication to ensure secured access to endpoints, the ML models, and datasets.

Last Updated 2026-08-20 12:42:54 +0530 IST

RELATED LINKS

Pipeline Endpoints