elasticsearch-js/docs/reference/api/MlGetTrainedModelsRequest.md

MlGetTrainedModelsRequest [interface-MlGetTrainedModelsRequest]

Name	Type	Description
allow_no_match	boolean	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.
body	string	({ [key: string]: any; } & { model_id?: never; allow_no_match?: never; decompress_definition?: never; exclude_generated?: never; from?: never; include?: never; size?: never; tags?: never; })
decompress_definition	boolean	Specifies whether the included model definition should be returned as a JSON map (true) or in a custom compressed format (false).
exclude_generated	boolean	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	integer	Skips the specified number of models.
include	MlInclude	A comma delimited string of optional fields to include in the response body.
model_id	Ids	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.
querystring	{ [key: string]: any; } & { model_id?: never; allow_no_match?: never; decompress_definition?: never; exclude_generated?: never; from?: never; include?: never; size?: never; tags?: never; }	All values in querystring will be added to the request querystring.
size	integer	Specifies the maximum number of models to obtain.
tags	string	string[]