Automated checks of machine learning scenario prerequisites

A method comprising:

• receiving an instruction to check compatibility of an application executing on an application server with a machine learning scenario, the machine learning scenario comprising a machine learning model and a training pipeline;
• determining a first plurality of object instances associated with the machine learning scenario, each of the first plurality of object instances comprising logic executable to perform a prerequisite check associated with the machine learning scenario and the application;
• and
• instructing a first object executor on the application server to execute the logic of the first plurality of object instances and return corresponding first results.

A non-transitory medium storing processor-executable program code executable by a processing unit of a computing system to cause the computing system to:

• receive an instruction from an operator to check compatibility of an application executing on an application server with a machine learning scenario, the machine learning scenario comprising a machine learning model and a training pipeline;
• determine a first plurality of object instances associated with the machine learning scenario, each of the first plurality of object instances comprising logic executable by a first object executor executing in the application server to perform a prerequisite check associated with the machine learning scenario and the application;
• instruct the first object executor to execute the logic of the first plurality of object instances;
• and
• receive first results corresponding to the executed logic from the first object executor.