I would like to ask you if you have experienced similar issue like me recently.
I trained sklearn model. Logged this model with fe.log_model for automatic feature lookup. Online feature tables where published with currently recommended approach, which is Lakebase. I created Serving Endpoint and configured inference table with two additional settings:
ENABLE_FEATURE_TRACING = true
ENABLE_MLFLOW_TRACING = true
According to documentation Configure access to resources from model serving endpoints | Databricks on AWS
this should allow to log your automatic feature lookup data frame to the inference table.
However only request and predication is saved to inference table.
Do you know any possible reason, why this setup does not work?
