HeatWave Release Notes
HeatWave AutoML stores machine learning models in a model catalog in
MySQL. A model catalog is a standard MySQL table named
MODEL_CATALOG. 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
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 HeatWave AutoML routines can only use models that are accessible to the user running the routines. For information about granting model catalog privileges, see Section 3.12.10, “Sharing Models”.
A database administrator can manage a model catalog table as they would a regular MySQL table.