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[ML] Set priority parameter for starting trained model deployments #144595

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darnautov opened this issue Nov 4, 2022 · 1 comment
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[ML] Set priority parameter for starting trained model deployments #144595

darnautov opened this issue Nov 4, 2022 · 1 comment
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Feature:3rd Party Models ML 3rd party models :ml Team:ML Team label for ML (also use :ml) v8.6.0

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@darnautov
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Start trained model deployment API supports a new priority parameter (related PR).

Trained Models UI should provide an additional configuration in the start deployment modal:

  • For low-priority deployments, disable the number of allocations and thread per allocation params, setting them to defaults (1 and 1 accordingly)
  • For Trial clusters on Cloud make it a low priority by default
@darnautov darnautov added :ml Feature:3rd Party Models ML 3rd party models Team:ML Team label for ML (also use :ml) v8.6.0 labels Nov 4, 2022
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Pinging @elastic/ml-ui (:ml)

@darnautov darnautov self-assigned this Nov 7, 2022
@darnautov darnautov mentioned this issue Nov 8, 2022
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darnautov added a commit that referenced this issue Nov 15, 2022
@darnautov
[ML] Allow updates for number of allocations and priority for trained…
ca49da1 
… model deployments (#144704)

## Summary

Resolves #144550 and #144595

Adds a new action to the Trained Models table to update the number of
allocations for already started deployments.

<img width="1422" alt="image"
src="https://user-images.githubusercontent.com/5236598/200321473-0b869084-6c25-4873-8409-b948b7bede50.png">


Sets priority while starting a deployment 
<img width="1278" alt="image"
src="https://user-images.githubusercontent.com/5236598/200596233-a884d271-fefb-4898-9f2f-8d4724d25484.png">
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Feature:3rd Party Models ML 3rd party models :ml Team:ML Team label for ML (also use :ml) v8.6.0
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@darnautov @elasticmachine