Before you generate predictions, make sure that the deployment is available. To make a deployment available, start the deployment and wait until its status is

Available

.

To generate a prediction, include the deployment ID in the URI. Use the following URI:

/mlops/api/v1/deployment/request/<deployment ID>

Get the ID for a quick start model from the response to get information about a quick start model. For more information, see Getting information about a quick start model.

Get the deployment ID for a model deployment from the response to monitor a model deployment. For more information, see Monitoring model deployments.

Include the following fields in the request body:

Field	Type	Description
deployment_id	String	ID of the quick start model or model deployment.
request	String	Input fields needed to generate a prediction. The request should consist of key-value pairs in a serialized JSON string. To generate predictions from a quick start model, use the input fields defined for that model. To generate predictions from a user-defined model, use the input fields that you specified when you registered the machine learning model.

Returns the prediction from the machine learning model.

When you generate predictions from a user-defined model, you specify the output fields when you register the machine learning model. The model returns each output field as an attribute of the response.