[ML] Trained Models: Spaces sync missing after creating an inference endpoint #201410
Labels
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
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.To address this, we should call the ML Kibana
/sync
API on the Trained Page load and automatically assign allpytorch
models to the*
space and DFA models to the default space accordingly.The text was updated successfully, but these errors were encountered: