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This adds a new _ml/trained_models/<model_id>/deployment/cache/_clear API. This will clear the inference cache on every node where the model is allocated.

@elasticsearchmachine elasticsearchmachine added the Team:ML Meta label for the ML team label Aug 3, 2022
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Pinging @elastic/ml-core (Team:ML)

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Hi @benwtrent, I've created a changelog YAML for you.

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This has quite a major merge clash with #88901. I'll take it over once #88901 is merged. elastic/ml-cpp#2376 slightly changed the results structure, so if this PR were merged first then there would be two PRs that require coordination between the C++ and Java side. But if #88901 is merged first and then this PR updated to match then there'll only be one.

@droberts195 droberts195 added the Team:Clients Meta label for clients team label Aug 3, 2022
@elasticsearchmachine elasticsearchmachine removed the Team:Clients Meta label for clients team label Aug 3, 2022
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Looks good from an API perspective! 👍

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@szabosteve szabosteve left a comment

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One suggestion about formatting, otherwise docs LGTM.

…oyment-cache.asciidoc

Co-authored-by: István Zoltán Szabó <[email protected]>
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@elasticmachine update branch

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LGTM2

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>enhancement :ml Machine learning Team:ML Meta label for the ML team v8.5.0

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6 participants