Accessing the MLflow Server

The MLflow server stores information about experiments, runs, models, endpoints, etc. This section describes two ways to access this information.

MLflow Component	Supported Access
MLflow REST API	Via UDFs
MLflow Backend Tracking Store	Via an Exasol Virtual Schema

Read the details in the following sections.

• REST API UDFs
• Backend Store Via Virtual Schema