Decision Optimization batch deployment and model execution

Once your model is deployed, you can submit Decision Optimization jobs to this deployment.

You can submit jobs specifying the:

• Input data: the transaction data used as input by the model. This can be inline or referenced data.
• Output data: to define how the output data is generated by model. This is returned as inline or referenced data.
• Solve parameters: to customize the behavior of the solution engine.

After submitting a job, you can use the JOB-ID to poll the job status to collect the:

• Job execution status or error message
• Solve execution status, progress and log tail
• Inline or referenced output data

Job states can be : queued, running, completed, failed, canceled.

For more information about creating jobs, see Creating jobs in deployment spaces.