- Kibana Guide: other versions:
- What is Kibana?
- What’s new in 7.8
- Get started
- Set up Kibana
- Discover
- Dashboard
- Canvas
- Maps
- Machine learning
- Graph
- Visualize
- Logs
- Metrics
- APM
- Uptime
- SIEM
- Dev Tools
- Stack Monitoring
- Management
- Advanced Settings
- Alerts and Actions
- Beats Central Management
- Cross-Cluster Replication
- Index Lifecycle Policies
- Index Management
- Ingest Node Pipelines
- Index patterns and fields
- License Management
- Numeral Formatting
- Remote Clusters
- Rollup Jobs
- Saved Objects
- Security
- Snapshot and Restore
- Spaces
- Upgrade Assistant
- Watcher
- Ingest Manager
- Reporting
- Alerting and Actions
- REST API
- Kibana plugins
- Accessibility
- Limitations
- Breaking Changes
- Release Notes
- Kibana 7.8.1
- Kibana 7.8.0
- Kibana 7.7.1
- Kibana 7.7.0
- Kibana 7.6.2
- Kibana 7.6.1
- Kibana 7.6.0
- Kibana 7.5.2
- Kibana 7.5.1
- Kibana 7.5.0
- Kibana 7.4.2
- Kibana 7.4.1
- Kibana 7.4.0
- Kibana 7.3.2
- Kibana 7.3.1
- Kibana 7.3.0
- Kibana 7.2.1
- Kibana 7.2.0
- Kibana 7.1.1
- Kibana 7.1.0
- Kibana 7.0.1
- Kibana 7.0.0
- Kibana 7.0.0-rc2
- Kibana 7.0.0-rc1
- Kibana 7.0.0-beta1
- Kibana 7.0.0-alpha2
- Kibana 7.0.0-alpha1
- Developer guide
Data frame analytics
editData frame analytics
editThis functionality is in technical preview and may be changed or removed in a future release. Elastic will work to fix any issues, but features in technical preview are not subject to the support SLA of official GA features.
The Elastic machine learning data frame analytics feature enables you to analyze your data using classification, outlier detection, and regression algorithms and generate new indices that contain the results alongside your source data.
If you have a license that includes the machine learning features, you can create data frame analytics jobs and view their results on the Analytics page in Kibana. For example:
![Outlier detection results in Kibana](user/ml/images/outliers.png)
For more information about the data frame analytics feature, see Machine learning data frame analytics.