IMPORTANT: No additional bug fixes or documentation updates
will be released for this version. For the latest information, see the
current release documentation.
Data frame analytics examples
editData frame analytics examples
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.
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 posts
editThe blog posts listed below show how to get the most out of Elastic machine learning data frame analytics.
- Catching malware with Elastic outlier detection
- Benchmarking outlier detection results in Elastic machine learning
- Multilingual search using language identification in Elasticsearch
- Benchmarking binary classification results in Elastic machine learning
- Using Elastic supervised machine learning for binary classification
- Machine learning in cybersecurity: Training supervised models to detect DGA activity