This documentation contains work-in-progress information for future Elastic Stack and Cloud releases. Use the version selector to view supported release docs. It also contains some Elastic Cloud serverless information. Check out our serverless docs for more details.
Machine learning trained model APIs
edit
IMPORTANT: This documentation is no longer updated. Refer to Elastic's version policy and the latest documentation.
Machine learning trained model APIs
editYou 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:
Was this helpful?
Thank you for your feedback.