IMPORTANT: No additional bug fixes or documentation updates will be released for this version. For the latest information, see the current release documentation.

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cat trained model API

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cat trained model API

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

Returns configuration and usage information about inference trained models.

Request

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GET /_cat/ml/trained_models

Prerequisites

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If the Elasticsearch security features are enabled, you must have the following privileges:

cluster: monitor_ml

For more information, see Security privileges and Machine learning security privileges.

Query parameters

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bytes

(Optional, byte size units) Unit used to display byte values.

format

(Optional, string) Short version of the HTTP accept header. Valid values include JSON, YAML, etc.

h

(Optional, string) Comma-separated list of column names to display.

If you do not specify which columns to include, the API returns the default columns. If you explicitly specify one or more columns, it returns only the specified columns.

Valid columns are:

create_time, ct: The time when the trained model was created.
created_by, c, createdBy: Information on the creator of the trained model.
data_frame_analytics_id, df, dataFrameAnalytics: Identifier for the data frame analytics job that created the model. Only displayed if it is still available.
description, d: The description of the trained model.
heap_size, hs, modelHeapSize: (Default) The estimated heap size to keep the trained model in memory.
id: (Default) Identifier for the trained model.
ingest.count, ic, ingestCount: The total number of documents that are processed by the model.
ingest.current, icurr, ingestCurrent: The total number of document that are currently being handled by the trained model.
ingest.failed, if, ingestFailed: The total number of failed ingest attempts with the trained model.
ingest.pipelines, ip, ingestPipelines: (Default) The total number of ingest pipelines that are referencing the trained model.
ingest.time, it, ingestTime: The total time that is spent processing documents with the trained model.
license, l: The license level of the trained model.
operations, o, modelOperations: (Default) The estimated number of operations to use the trained model. This number helps measuring the computational complexity of the model.
version, v: The Elasticsearch version number in which the trained model was created.

help

(Optional, Boolean) If true, the response includes help information. Defaults to false.

s

(Optional, string) Comma-separated list of column names or column aliases used to sort the response.

time

(Optional, time units) Unit used to display time values.

v

(Optional, Boolean) If true, the response includes column headings. Defaults to false.

Examples

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resp = client.cat.ml_trained_models(
    h="c,o,l,ct,v",
    v="ture",
)
print(resp)

GET _cat/ml/trained_models?h=c,o,l,ct,v&v=ture

id                           created_by operations license  create_time              version
ddddd-1580216177138              _xpack 196        PLATINUM 2020-01-28T12:56:17.138Z 8.0.0
flight-regress-1580215685537     _xpack 102        PLATINUM 2020-01-28T12:48:05.537Z 8.0.0
lang_ident_model_1               _xpack 39629      BASIC    2019-12-05T12:28:34.594Z 7.6.0

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