127 lines
3.4 KiB
Plaintext
127 lines
3.4 KiB
Plaintext
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[role="xpack"]
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[testenv="platinum"]
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[[cat-trained-model]]
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=== cat trained model API
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++++
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<titleabbrev>cat trained model</titleabbrev>
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++++
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Returns configuration and usage information about {infer} trained models.
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[[cat-trained-model-request]]
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==== {api-request-title}
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`GET /_cat/ml/trained_models`
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[[cat-trained-model-prereqs]]
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==== {api-prereq-title}
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If the {es} {security-features} are enabled, you must have the following
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privileges:
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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.html[Set up {ml-features}].
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////
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[[cat-trained-model-desc]]
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==== {api-description-title}
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////
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[[cat-trained-model-query-params]]
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==== {api-query-parms-title}
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include::{docdir}/rest-api/common-parms.asciidoc[tag=bytes]
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include::{docdir}/rest-api/common-parms.asciidoc[tag=http-format]
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include::{docdir}/rest-api/common-parms.asciidoc[tag=cat-h]
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+
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If you do not specify which columns to include, the API returns the default
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columns. If you explicitly specify one or more columns, it returns only the
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specified columns.
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+
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Valid columns are:
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`create_time`, `ct`:::
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The time when the trained model was created.
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`created_by`, `c`, `createdBy`:::
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Information on the creator of the trained model.
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`data_frame_analytics_id`, `df`, `dataFrameAnalytics`:::
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Identifier for the {dfanalytics-job} that created the model. Only displayed if
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it is still available.
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`description`, `d`:::
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The description of the trained model.
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`heap_size`, `hs`, `modelHeapSize`:::
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(Default)
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The estimated heap size to keep the trained model in memory.
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`id`:::
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(Default)
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Idetifier for the trained model.
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`ingest.count`, `ic`, `ingestCount`:::
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The total number of documents that are processed by the model.
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`ingest.current`, `icurr`, `ingestCurrent`:::
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The total number of document that are currently being handled by the trained
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model.
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`ingest.failed`, `if`, `ingestFailed`:::
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The total number of failed ingest attempts with the trained model.
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`ingest.pipelines`, `ip`, `ingestPipelines`:::
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(Default)
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The total number of ingest pipelines that are referencing the trained model.
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`ingest.time`, `it`, `ingestTime`:::
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The total time that is spent processing documents with the trained model.
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`license`, `l`:::
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The license level of the trained model.
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`operations`, `o`, `modelOperations`:::
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(Default)
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The estimated number of operations to use the trained model. This number helps
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measuring the computational complexity of the model.
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`version`, `v`:::
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The {es} version number in which the trained model was created.
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include::{docdir}/rest-api/common-parms.asciidoc[tag=help]
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include::{docdir}/rest-api/common-parms.asciidoc[tag=cat-s]
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include::{docdir}/rest-api/common-parms.asciidoc[tag=time]
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include::{docdir}/rest-api/common-parms.asciidoc[tag=cat-v]
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[[cat-trained-model-example]]
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==== {api-examples-title}
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[source,console]
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--------------------------------------------------
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GET _cat/ml/trained_models?h=c,o,l,ct,v&v
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--------------------------------------------------
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// TEST[skip:kibana sample data]
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[source,console-result]
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----
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id created_by operations license create_time version
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ddddd-1580216177138 _xpack 196 PLATINUM 2020-01-28T12:56:17.138Z 8.0.0
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flight-regress-1580215685537 _xpack 102 PLATINUM 2020-01-28T12:48:05.537Z 8.0.0
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lang_ident_model_1 _xpack 39629 BASIC 2019-12-05T12:28:34.594Z 7.6.0
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----
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// TESTRESPONSE[skip:kibana sample data]
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