HeatWave Release Notes
MySQL HeatWave AutoML stores machine learning models in a model catalog. A
model catalog is a DB System table named
MODEL_CATALOG. MySQL HeatWave AutoML creates a model
catalog for any user that creates a machine learning model.
The MODEL_CATALOG table is created in a
schema named
ML_SCHEMA_,
where the
user_nameuser_name
The fully qualified name of the model catalog table is
ML_SCHEMA_.
user_name.MODEL_CATALOG
When a user creates a model, the
ML_TRAIN routine creates the
model catalog schema and table if they do not exist.
ML_TRAIN inserts the model as a
row in the MODEL_CATALOG table at the end of
training.
A model catalog is accessible only to the owning user unless the user grants privileges on the model catalog to another user. This means that MySQL HeatWave AutoML routines can only use models that are accessible to the user running the routines. For information about giving access to the model catalog and trained models to other users, see Share a Model.
A database administrator can manage a model catalog table the same way as a regular MySQL table.