Looking up the endpoint URL of a deployment

To send payload data to a model or function deployment for analysis (for example, to classify the data, or make a prediction from the data) you need to know the endpoint URL of the deployment. This topic describes how to look up the endpoint URL of a deployment in IBM Watson Machine Learning.

There are two ways to look up the endpoint URL of a deployment:

Option 1: From a deployment space

From the Deployments tab of your space, click a deployment name to look up the deployment ID for the endpoint URL.

For details, see Endpoint URLs.

Option 2: Using the Watson Machine Learning Python client

  1. List the deployments by calling the function client.deployments.list() external link
  2. In the row of the desired deployment, the deployment endpoint URL is listed in the “url” column