Machine learning model DDL¶

The following DDL commands are used to create, view, and manage machine-learning models and their versions.

A model is a schema-level object that contains a machine learning model that has been trained and stored in the Snowpark ML Registry. Model commands let you create and manage models in SQL. You can also create and manage models in Python using the Snowpark ML Registry API.

Machine learning models¶

CREATE MODEL	Creates a new machine learning model in the current/specified schema or replaces an existing model.
ALTER MODEL	Modifies the properties for an existing model, including its name, tags, default version, or comment.
SHOW MODELS	Lists the machine learning models that you have privileges to access.
DROP MODEL	Removes a machine learning model from the current/specified schema.

Machine learning model versions¶

ALTER MODEL … ADD VERSION	Adds a new version to an existing model from an internal stage.
ALTER MODEL … DROP VERSION	Removes a version from an existing model.
ALTER MODEL … MODIFY VERSION	Modifies a version of a model, changing the version’s comment or metadata.
SHOW VERSIONS IN MODEL	Lists the versions in a machine learning model.