Data frame analytics API quick reference
Elastic Cloud Serverless projects are autoscaled environments, fully managed by Elastic and available on Elastic Cloud. Availability This functionality is generally available and ready for production usage. Serverless interfaces and procedures might differ from classic Elastic Stack deployments. The Elastic Stack includes Elastic's core products such as Elasticsearch, Kibana, Logstash, and Beats. Availability This functionality is generally available and ready for production usage. Unless stated otherwise on the page, this functionality is available when your Elastic Stack is deployed on Elastic Cloud Hosted, Elastic Cloud Enterprise, Elastic Cloud on Kubernetes, and self-managed environments. This documentation corresponds to the latest patch available for each minor version. If you're not using the latest patch, check the release notes for changes.
Serverless
Generally available
Stack
Generally available
All data frame analytics endpoints have the following base:
/_ml/data_frame/analytics
The evaluation API endpoint has the following base:
/_ml/data_frame/_evaluate
- Create data frame analytics analytics jobs
- Delete data frame analytics analytics jobs
- Evaluate data frame analytics
- Explain data frame analytics
- Get data frame analytics analytics jobs info
- Get data frame analytics analytics jobs statistics
- Preview data frame analytics
- Start data frame analytics analytics jobs
- Stop data frame analytics analytics jobs
- Update data frame analytics analytics jobs
For information about the APIs related to trained models, refer to API quick reference.