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[ML] Trained Models: Spaces sync missing after creating an inference endpoint #201410

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darnautov opened this issue Nov 22, 2024 · 1 comment · Fixed by #201426
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[ML] Trained Models: Spaces sync missing after creating an inference endpoint #201410

darnautov opened this issue Nov 22, 2024 · 1 comment · Fixed by #201426
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bug Fixes for quality problems that affect the customer experience Feature:3rd Party Models ML 3rd party models :ml Team:ML Team label for ML (also use :ml) v8.18.0

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@darnautov
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When a user creates an ELSER inference endpoint, the download process begins if necessary, and the model becomes accessible via the trained_models API. This triggers a warning callout on the Trained Model page regarding space synchronization, and the table itself does not reflect the most up-to-date information about existing models.

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To address this, we should call the ML Kibana /sync API on the Trained Page load and automatically assign all pytorch models to the * space and DFA models to the default space accordingly.

@darnautov darnautov added :ml bug Fixes for quality problems that affect the customer experience Feature:3rd Party Models ML 3rd party models Team:ML Team label for ML (also use :ml) labels Nov 22, 2024
@elasticmachine
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Pinging @elastic/ml-ui (:ml)

kibanamachine pushed a commit to kibanamachine/kibana that referenced this issue Nov 27, 2024
)

Fixes elastic#201410

On page load, we now call the saved object initialization api which
creates any missing saved objects.

(cherry picked from commit 6a649b2)
CAWilson94 pushed a commit to CAWilson94/kibana that referenced this issue Dec 12, 2024
)

Fixes elastic#201410

On page load, we now call the saved object initialization api which
creates any missing saved objects.
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bug Fixes for quality problems that affect the customer experience Feature:3rd Party Models ML 3rd party models :ml Team:ML Team label for ML (also use :ml) v8.18.0
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4 participants