Using a Script Language Container

Enabling a UDF to load MLflow models, requires the installation of the Exasol MLflow Plugin incl. its dependencies into the Exasol Database. This is done by creating a dedicated Script Language Container (SLC) for running the UDF.

Depending on the models you want to use in your UDF implementation, you might need to add additional libraries as dependencies to be included in the SLC. See also

• The MLflow documentation on dependencies in general

• An overview about MLflow optional dependencies (aka. “Extras”)

• The entire list of MLflow extras

For more information on SLCs, see the User Guide of the script-languages-release repository incl. customizing, deploying, and activating SLCs.