173 lines
4.3 KiB
Plaintext
173 lines
4.3 KiB
Plaintext
[role="xpack"]
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[testenv="basic"]
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[[get-inference]]
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= Get trained model API
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[subs="attributes"]
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++++
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<titleabbrev>Get trained model</titleabbrev>
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++++
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Retrieves configuration information for a trained model.
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experimental[]
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[[ml-get-inference-request]]
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== {api-request-title}
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`GET _ml/inference/` +
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`GET _ml/inference/<model_id>` +
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`GET _ml/inference/_all` +
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`GET _ml/inference/<model_id1>,<model_id2>` +
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`GET _ml/inference/<model_id_pattern*>`
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[[ml-get-inference-prereq]]
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== {api-prereq-title}
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Required privileges which should be added to a custom role:
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* cluster: `monitor_ml`
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For more information, see <<security-privileges>> and
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{ml-docs-setup-privileges}.
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[[ml-get-inference-desc]]
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== {api-description-title}
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You can get information for multiple trained models in a single API request by
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using a comma-separated list of model IDs or a wildcard expression.
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[[ml-get-inference-path-params]]
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== {api-path-parms-title}
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`<model_id>`::
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(Optional, string)
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include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=model-id]
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[[ml-get-inference-query-params]]
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== {api-query-parms-title}
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`allow_no_match`::
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(Optional, boolean)
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include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=allow-no-match-models]
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`decompress_definition`::
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(Optional, boolean)
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Specifies whether the included model definition should be returned as a JSON map
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(`true`) or in a custom compressed format (`false`). Defaults to `true`.
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`for_export`::
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(Optional, boolean)
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Indicates if certain fields should be removed from the model configuration on
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retrieval. This allows the model to be in an acceptable format to be retrieved
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and then added to another cluster. Default is false.
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`from`::
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(Optional, integer)
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include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=from-models]
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`include_model_definition`::
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(Optional, boolean)
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Specifies whether the model definition is returned in the response. Defaults to
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`false`. When `true`, only a single model must match the ID patterns provided.
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Otherwise, a bad request is returned.
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`size`::
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(Optional, integer)
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include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=size-models]
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`tags`::
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(Optional, string)
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include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=tags]
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[role="child_attributes"]
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[[ml-get-inference-results]]
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== {api-response-body-title}
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`trained_model_configs`::
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(array)
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An array of trained model resources, which are sorted by the `model_id` value in
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ascending order.
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+
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.Properties of trained model resources
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[%collapsible%open]
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====
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`created_by`:::
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(string)
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Information on the creator of the trained model.
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`create_time`:::
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(<<time-units,time units>>)
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The time when the trained model was created.
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`default_field_map` :::
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(object)
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A string to string object that contains the default field map to use
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when inferring against the model. For example, data frame analytics
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may train the model on a specific multi-field `foo.keyword`.
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The analytics job would then supply a default field map entry for
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`"foo" : "foo.keyword"`.
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+
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Any field map described in the inference configuration takes precedence.
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`estimated_heap_memory_usage_bytes`:::
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(integer)
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The estimated heap usage in bytes to keep the trained model in memory.
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`estimated_operations`:::
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(integer)
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The estimated number of operations to use the trained model.
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`license_level`:::
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(string)
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The license level of the trained model.
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`metadata`:::
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(object)
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An object containing metadata about the trained model. For example, models
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created by {dfanalytics} contain `analysis_config` and `input` objects.
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`model_id`:::
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(string)
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Idetifier for the trained model.
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`tags`:::
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(string)
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A comma delimited string of tags. A trained model can have many tags, or none.
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`version`:::
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(string)
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The {es} version number in which the trained model was created.
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====
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[[ml-get-inference-response-codes]]
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== {api-response-codes-title}
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`400`::
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If `include_model_definition` is `true`, this code indicates that more than
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one models match the ID pattern.
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`404` (Missing resources)::
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If `allow_no_match` is `false`, this code indicates that there are no
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resources that match the request or only partial matches for the request.
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[[ml-get-inference-example]]
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== {api-examples-title}
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The following example gets configuration information for all the trained models:
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[source,console]
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--------------------------------------------------
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GET _ml/inference/
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--------------------------------------------------
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// TEST[skip:TBD]
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