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Elasticsearch Reference [master] » REST APIs » Machine learning data frame analytics APIs
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Machine learning data frame analytics APIsedit

You can use the following APIs to perform machine learning data frame analytics activities.

  • Preview data frame analytics
  • Create data frame analytics jobs
  • Update data frame analytics jobs
  • Delete data frame analytics jobs
  • Get data frame analytics jobs info
  • Get data frame analytics jobs statistics
  • Start data frame analytics jobs
  • Stop data frame analytics jobs
  • Evaluate data frame analytics
  • Explain data frame analytics

You can use the following APIs to perform inference operations.

  • Create trained models
  • Get trained models
  • Get trained models stats
  • Delete trained models
  • Create or update trained model aliases
  • Delete Trained Model Aliases

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.

  • Inference processor
  • Inference bucket aggregation

See also Machine learning anomaly detection APIs.

« Upgrade model snapshots API Create data frame analytics jobs API »

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