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[7.16][DOCS] Move trained model APIs out of dataframe analytics (#81315…
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include::ml-df-analytics-apis.asciidoc[leveloffset=+1] | ||
//CREATE | ||
include::put-dfanalytics.asciidoc[leveloffset=+2] | ||
include::put-trained-models-aliases.asciidoc[leveloffset=+2] | ||
include::put-trained-models.asciidoc[leveloffset=+2] | ||
//UPDATE | ||
include::update-dfanalytics.asciidoc[leveloffset=+2] | ||
//DELETE | ||
include::delete-dfanalytics.asciidoc[leveloffset=+2] | ||
include::delete-trained-models.asciidoc[leveloffset=+2] | ||
include::delete-trained-models-aliases.asciidoc[leveloffset=+2] | ||
//EVALUATE | ||
include::evaluate-dfanalytics.asciidoc[leveloffset=+2] | ||
//ESTIMATE_MEMORY_USAGE | ||
include::explain-dfanalytics.asciidoc[leveloffset=+2] | ||
//GET | ||
include::get-dfanalytics.asciidoc[leveloffset=+2] | ||
include::get-dfanalytics-stats.asciidoc[leveloffset=+2] | ||
include::get-trained-models.asciidoc[leveloffset=+2] | ||
include::get-trained-models-stats.asciidoc[leveloffset=+2] | ||
//PREVIEW | ||
include::preview-dfanalytics.asciidoc[leveloffset=+2] | ||
//SET/START/STOP | ||
include::start-dfanalytics.asciidoc[leveloffset=+2] | ||
include::stop-dfanalytics.asciidoc[leveloffset=+2] | ||
//UPDATE | ||
include::update-dfanalytics.asciidoc[leveloffset=+2] |
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include::ml-trained-models-apis.asciidoc[leveloffset=+1] | ||
//CREATE | ||
include::put-trained-models-aliases.asciidoc[leveloffset=+2] | ||
include::put-trained-models.asciidoc[leveloffset=+2] | ||
//DELETE | ||
include::delete-trained-models-aliases.asciidoc[leveloffset=+2] | ||
include::delete-trained-models.asciidoc[leveloffset=+2] | ||
//GET | ||
include::get-trained-models.asciidoc[leveloffset=+2] | ||
include::get-trained-models-stats.asciidoc[leveloffset=+2] | ||
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docs/reference/ml/trained-models/apis/ml-trained-models-apis.asciidoc
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[role="xpack"] | ||
[[ml-df-trained-models-apis]] | ||
= {ml-cap} trained model APIs | ||
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You can use the following APIs to perform model management operations: | ||
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* <<put-trained-models>> | ||
* <<put-trained-models-aliases>> | ||
* <<delete-trained-models>> | ||
* <<delete-trained-models-aliases>> | ||
* <<get-trained-models>> | ||
* <<get-trained-models-stats>> | ||
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You can deploy a trained model to make predictions in an ingest pipeline or in | ||
an aggregation. Refer to the following documentation to learn more: | ||
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* <<search-aggregations-pipeline-inference-bucket-aggregation,{infer-cap} bucket aggregation>> | ||
* <<inference-processor,{infer-cap} processor>> |
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