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31 lines
1 KiB
Text
31 lines
1 KiB
Text
[role="xpack"]
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[[ml-df-trained-models-apis]]
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= {ml-cap} trained model APIs
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.New API reference
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[sidebar]
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--
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For the most up-to-date API details, refer to {api-es}/group/endpoint-ml-trained-model[{ml-cap} trained model APIs].
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--
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You can use the following APIs to perform model management operations:
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* <<clear-trained-model-deployment-cache>>
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* <<put-trained-models>>
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* <<put-trained-model-definition-part>>
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* <<put-trained-model-vocabulary>>
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* <<put-trained-models-aliases>>
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* <<delete-trained-models>>
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* <<delete-trained-models-aliases>>
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* <<get-trained-models>>
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* <<get-trained-models-stats>>
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* <<infer-trained-model>>
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* <<start-trained-model-deployment>>
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* <<stop-trained-model-deployment>>
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* <<update-trained-model-deployment>>
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You can deploy a trained model to make predictions in an ingest pipeline or in
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an aggregation. Refer to the following documentation to learn more:
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* <<search-aggregations-pipeline-inference-bucket-aggregation,{infer-cap} bucket aggregation>>
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* <<inference-processor,{infer-cap} processor>>
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