Automatic feature lookup with MLflow models on Databricks
This feature is in Public Preview.
Model Serving can automatically look up feature values from published online stores.
The model must have been logged with
FeatureStoreClient.log_modelusing v0.3.5 and above.
The online store must be published with read-only credentials.
You can publish the feature table at any time prior to model deployment, including after model training.
Automatic feature lookup
Databricks Model Serving supports automatic feature lookup from these online stores:
Amazon DynamoDB (v0.3.8 and above)
Automatic feature lookup is supported for the following data types:
Override feature values in online model scoring
All features required by the model (logged with
FeatureStoreClient.log_model) are automatically looked up from online stores for model scoring. To override feature values when scoring a model using a REST API with Model Serving include the feature values as a part of the API payload.
The new feature values must conform to the feature’s data type as expected by the underlying model.