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Run a trained model on documents

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Run a trained model on documents

with Elastic Stack · Artificial Intelligence Management

Use Elastic Stack: its Elasticsearch Request & Response Specification ml trained model API lets you run a trained model on documents in a single step (POST /_ml/trained_models/{model_id}/_infer). capabilities.work can help you get signed up and connected.

  • Can I test a deployed trained model by sending it a few documents directly?
  • How do I override the inference config when evaluating a trained model on sample docs?
Say it to your AI assistant
  • Run trained model {model_id} on these documents: {docs}.
  • Infer {docs} with model {model_id} using config {inference_config}.
For your developer

POST /_ml/trained_models/{model_id}/_infer 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 modelCreate or reassign a trained model alias