This functionality is in beta and is subject to change. The design and code is less mature than official GA features and is being provided as-is with no warranties. Beta features are not subject to the support SLA of official GA features.
These examples demonstrate how to use data frame analytics to derive useful insights from your data.
- Finding outliers in the eCommerce sample data
- Outlier detection example (Jupyter notebook)
- Predicting flight delays with regression analysis
- Predicting delayed flights with classification analysis
- Classification analysis example (Jupyter notebook)
- Language identification
- Feature importance for data frame analytics (Jupyter notebook)
Data frame analytics examples in blog postsedit
The blog posts listed below show how to get the most out of Elastic machine learning data frame analytics.