Deploying a machine learning endpoint

The process is completed when an endpoint from a real-time production quest is deployed and active. This is only possible after a successful run of the real-time production quest.

  1. Click the Realtime Production tab.
  2. Define the schema.
  3. Click Save.
  4. Click Run.
  5. Select Endpoint.
  6. Specify a name. These characters are valid: A-Za-z0-9@#$&:[]-`.+, "s_.
  7. Optionally, specify a description.
  8. Click Create.