stack es ml get-trained-models cli command

elastic stack es ml get-trained-models [options]
		

Get trained model configuration info.

Behaviour flags:

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

--model-id string

The unique identifier of the trained model or a model alias. You can get information for multiple trained models in a single API request by using a comma-separated list of model IDs or a wildcard expression.

Repeatable: pass --model-id multiple times to supply more than one value

--[no-]allow-no-match

Specifies what to do when the request: - Contains wildcard expressions and there are no models that match. - Contains the _all string or no identifiers and there are no matches. - Contains wildcard expressions and there are only partial matches. If true, it returns an empty array when there are no matches and the subset of results when there are partial matches.

--[no-]decompress-definition

Specifies whether the included model definition should be returned as a JSON map (true) or in a custom compressed format (false).

--[no-]exclude-generated

Indicates if certain fields should be removed from the configuration on retrieval. This allows the configuration to be in an acceptable format to be retrieved and then added to another cluster.

--from number

Skips the specified number of models.

--include string

A comma delimited string of optional fields to include in the response body.

--size number

Specifies the maximum number of models to obtain.

--tags string

A comma delimited string of tags. A trained model can have many tags, or none. When supplied, only trained models that contain all the supplied tags are returned.

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

--input-file string

path to a JSON file to use as command input

--[no-]dry-run

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

--[no-]json

output as JSON