Automated machine learning model deployment

A computer program product comprising one or more computer readable storage medium, and program instructions collectively stored on the one or more computer readable storage medium, the program instructions executable by a processor to cause the processor to perform operations comprising:

• identifying, using exported data of a machine learning model and a model training environment specification, a resource usage specification of the machine learning model and a code module usage specification of the machine learning model, the resource usage specification specifying a set of resources used in training the machine learning model in a model training environment specified by the model training environment specification, the code module usage specification specifying a set of code modules used in training the machine learning model in the model training environment;
• determining, from a code module requirements specification and a target execution environment specification, a code module installation specification, the code module requirements specification specifying a set of code modules required to execute the machine learning model, the code module installation specification specifying a set of code modules to be installed in a target execution environment, the target execution environment comprising an environment for execution of the machine learning model, the target execution environment specified by the target execution environment specification;
• causing installing of, in the target execution environment, the code modules specified by the code module installation specification, the installing resulting in an updated target execution environment;
• validating, using data of the updated target execution environment, the updated target execution environment for execution of the machine learning model;
• simulating execution of the machine learning model in the updated target execution environment;
• and
• deploying, in the updated target execution environment responsive to the simulating being successful, the machine learning model.

A computer system comprising a processor and one or more computer readable storage media, and program instructions collectively stored on the one or more computer readable storage media, the program instructions executable by the processor to cause the processor to perform operations comprising:

• identifying, using exported data of a machine learning model and a model training environment specification, a resource usage specification of the machine learning model and a code module usage specification of the machine learning model, the resource usage specification specifying a set of resources used in training the machine learning model in a model training environment specified by the model training environment specification, the code module usage specification specifying a set of code modules used in training the machine learning model in the model training environment;
• determining, from a code module requirements specification and a target execution environment specification, a code module installation specification, the code module requirements specification specifying a set of code modules required to execute the machine learning model, the code module installation specification specifying a set of code modules to be installed in a target execution environment, the target execution environment comprising an environment for execution of the machine learning model, the target execution environment specified by the target execution environment specification;
• causing installing of, in the target execution environment, the code modules specified by the code module installation specification, the installing resulting in an updated target execution environment;
• validating, using data of the updated target execution environment, the updated target execution environment for execution of the machine learning model;
• simulating execution of the machine learning model in the updated target execution environment;
• and
• deploying, in the updated target execution environment responsive to the simulating being successful, the machine learning model.