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Elastic Docs ›Elasticsearch Guide [8.13] ›REST APIs ›Machine learning trained model APIs

Delete trained models API

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IMPORTANT: This documentation is no longer updated. Refer to Elastic's version policy and the latest documentation.

Delete trained models API

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Deletes an existing trained inference model.

Request

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DELETE _ml/trained_models/<model_id>

Prerequisites

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Requires the manage_ml cluster privilege. This privilege is included in the machine_learning_admin built-in role.

Path parameters

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<model_id>
(Optional, string) The unique identifier of the trained model.

Query parameters

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force
(Optional, Boolean) Use to forcefully delete a trained model that is referenced by ingest pipelines or has a started deployment.

Response codes

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409
The code indicates that the trained model is referenced by an ingest pipeline and cannot be deleted.

Examples

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The following example deletes the regression-job-one-1574775307356 trained model:

resp = client.ml.delete_trained_model(
    model_id="regression-job-one-1574775307356",
)
print(resp)
response = client.ml.delete_trained_model(
  model_id: 'regression-job-one-1574775307356'
)
puts response
DELETE _ml/trained_models/regression-job-one-1574775307356
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The API returns the following result:

{
  "acknowledged" : true
}
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