Get trained models Added in 7.7.0

GET /_cat/ml/trained_models/{model_id}

Returns configuration and usage information about inference trained models.

CAT APIs are only intended for human consumption using the Kibana console or command line. They are not intended for use by applications. For application consumption, use the get trained models statistics API.

Path parameters

  • model_id string Required

    A unique identifier for the trained model.

Query parameters

  • 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, the API returns an empty array when there are no matches and the subset of results when there are partial matches. If false, the API returns a 404 status code when there are no matches or only partial matches.

  • bytes string

    The unit used to display byte values.

    Values are b, kb, mb, gb, tb, or pb.

  • h string | array[string]

    A comma-separated list of column names to display.

  • s string | array[string]

    A comma-separated list of column names or aliases used to sort the response.

  • from number

    Skips the specified number of transforms.

  • size number

    The maximum number of transforms to display.

  • time string

    Unit used to display time values.

    Values are nanos, micros, ms, s, m, h, or d.

Responses

GET /_cat/ml/trained_models/{model_id} 
curl \
 -X GET http://api.example.com/_cat/ml/trained_models/{model_id}
Response examples (200) 
[
  {
    "id": "string",
    "created_by": "string",
    "": "string",
    "operations": "string",
    "license": "string",
    "version": "string",
    "description": "string",
    "ingest.pipelines": "string",
    "ingest.count": "string",
    "ingest.time": "string",
    "ingest.current": "string",
    "ingest.failed": "string",
    "data_frame.id": "string",
    "data_frame.create_time": "string",
    "data_frame.source_index": "string",
    "data_frame.analysis": "string",
    "type": "string"
  }
]