You can use the following APIs to perform model management operations:
- Clear trained model deployment cache
- Create trained models
- Create part of a trained model
- Create trained model vocabulary
- Create or update trained model aliases
- Delete trained models
- Delete trained model aliases
- Get trained models
- Get trained models stats
- Infer trained model
- Start trained model deployment
- Stop trained model deployment
- Update trained model deployment
You can deploy a trained model to make predictions in an ingest pipeline or in an aggregation. Refer to the following documentation to learn more: