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[ML] Trained Models: Populate state for DFA models with associated pipelines #204808

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darnautov opened this issue Dec 18, 2024 · 1 comment
Open

[ML] Trained Models: Populate state for DFA models with associated pipelines #204808

darnautov opened this issue Dec 18, 2024 · 1 comment
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enhancement New value added to drive a business result Feature:Data Frame Analytics ML data frame analytics features Feature:3rd Party Models ML 3rd party models :ml Team:ML Team label for ML (also use :ml)

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@darnautov
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In the Trained Models UI, the state column shows statuses like "Downloading" or "Deployed" for PyTorch models, but it's always blank for DFA models.

When a pipeline is created referencing a DFA model, the state should display "Deployed" to keep things consistent and give an indicatation that a model is currently in use.

Suggestion:
Update the UI so DFA models show "Deployed" in the state column when used in at least one ingestion pipeline.

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@darnautov darnautov added :ml enhancement New value added to drive a business result Feature:3rd Party Models ML 3rd party models Feature:Data Frame Analytics ML data frame analytics features Team:ML Team label for ML (also use :ml) labels Dec 18, 2024
@elasticmachine
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Pinging @elastic/ml-ui (:ml)

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enhancement New value added to drive a business result Feature:Data Frame Analytics ML data frame analytics features Feature:3rd Party Models ML 3rd party models :ml Team:ML Team label for ML (also use :ml)
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@darnautov @elasticmachine