Database recommender_system does not exist in the Hive metastore.
A feature table is stored as a Delta table. The database is specified by the table name prefix, so a feature table recommender_system.customer_features will be stored in the recommender_system database.
To create the database database, run:
%sql CREATE DATABASE IF NOT EXISTS recommender_system;
ModuleNotFoundError: No module named 'databricks.feature_store'
This error occurs when the Feature Store Python client is not available on the Databricks Runtime you are using. For a list of supported Databricks Runtime versions, see Requirements.
- Feature Store APIs support batch scoring of models packaged with Feature Store. Online inference is not supported.
- Feature Store does not support deleting individual features from a feature table.
- APIs can log and access feature tables only in the current workspace.
- No online stores are supported on Databricks on Google Cloud as of this release.