stack es ml infer-trained-model cli command

elastic stack es ml infer-trained-model \
  --docs <docs> \
  --model-id <model-id> \
  [options]
		

Evaluate a trained model.

Behaviour flags:

--dry-run — validate all inputs and exit without performing any action

--docs string[] required

An array of objects to pass to the model for inference. The objects should contain a fields matching your configured trained model input. Typically, for NLP models, the field name is text_field. Currently, for NLP models, only a single value is allowed.

--model-id string required

The unique identifier of the trained model.

--timeout string

Controls the amount of time to wait for inference results.

--inference-config string

The inference configuration updates to apply on the API call

--error-trace

When set to true Elasticsearch will include the full stack trace of errors when they occur.

--filter-path string

Comma-separated list of filters in dot notation which reduce the response returned by Elasticsearch.

Repeatable: pass --filter-path multiple times to supply more than one value

--human

When set to true will return statistics in a format suitable for humans. For example "exists_time": "1h" for humans and "exists_time_in_millis": 3600000 for computers. When disabled the human readable values will be omitted. This makes sense for responses being consumed only by machines.

--pretty

If set to true the returned JSON will be "pretty-formatted". Only use this option for debugging only.

--input-file string

path to a JSON file to use as command input

--dry-run

validate all inputs and exit without performing any action (preview changes without applying them)

--json

output as JSON