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Machine learning trained model APIs

New API reference

For the most up-to-date API details, refer to Machine learning trained model APIs.

You can use the following APIs to perform model management operations:

  • Clear trained model deployment cache
  • Create trained models
  • Create part of a trained model
  • Create trained model vocabulary
  • Create or update trained model aliases
  • Delete trained models
  • Delete trained model aliases
  • Get trained models
  • Get trained models stats
  • Infer trained model
  • Start trained model deployment
  • Stop trained model deployment
  • Update trained model deployment

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 bucket aggregation
  • Inference processor

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https://www.elastic.co/guide/en/elasticsearch/reference/8.17/ml-df-trained-models-apis.html

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