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Create or reassign a trained model alias

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Create or reassign a trained model alias

with Elastic Stack · Artificial Intelligence Management

Use Elastic Stack: its Elasticsearch Request & Response Specification ml trained model API lets you create or reassign a trained model alias in a single step (PUT /_ml/trained_models/{model_id}/model_aliases/{model_alias}). capabilities.work can help you get signed up and connected.

  • Can I give a trained model a friendly alias to use in inference processors?
  • How do I move an alias from an old model to a newly trained one?
Say it to your AI assistant
  • Point alias {model_alias} at trained model {model_id}.
  • Reassign alias {model_alias} to model {model_id}.
For your developer

PUT /_ml/trained_models/{model_id}/model_aliases/{model_alias} in Elasticsearch Request & Response Specification ml trained model API. Full spec on APIs.io.

More you can do with Elastic Stack

Get ML memory usage across all nodesGet ML memory usage for one nodeGet machine learning defaults and limitsToggle ML upgrade modeSync ML saved objects in the default spaceChange which spaces ML jobs belong toChange which spaces trained models belong toClear a trained model deployment's inference cacheGet trained model configs by IDUpload a trained modelDelete an unreferenced trained modelDelete a trained model alias