Create Endpoint

We will now create an endpoint for the Cancer Detection ML model to allow to interact with the model seamlessly and get predictions.

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

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  2. Enter the endpoint name as Cancer_Detection, select the Endpoint Type as ML Model , and choose the model as Pipeline_B model ML model that we created in the previous step, and click Create Endpoint.

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  3. In the Endpoints details page, first test the model by providing a sample request and click Get Result. For the below request, the model predicts the record is Cancer Malignant(M). The likelihood score is used in classification models to return the probability estimation; this value gives the model’s confidence in its predictions.

  4. Click Publish and use the endpoint URL to integrate the ML model with any other applications.

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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 2026-10-01 12:33:46 +0530 IST

RELATED LINKS

Pipeline Endpoints