Framework for a machine learning model and/or machine learning application adaptation for a target in a communications network

An apparatus comprising:

• at least one processor;
• and
• at least one memory storing instructions that, when executed by the at least one processor, causes the apparatus at least to:
• receive, from a consumer entity, a machine learning request for a machine learning model related to a target, the machine learning request comprising a machine learning identifier to identify the machine learning model, a target identifier to identify the target, and a consumer entity identifier to identify the consumer entity;
• obtain a machine learning adaptation profile based at least in part on information or data retrieved from the machine learning identifier, the target identifier, and the consumer entity identifier;
• adapt the machine learning model based at least in part on the machine learning adaptation profile to generate a deployable version of the machine learning model;
• and
• cause the deployable version of the machine learning model to be provided to the target.

A computer program product comprising at least one non-transitory computer-readable storage medium having computer-executable program code instructions stored therein, the computer-executable program code instructions comprising program code instructions to:

• receive, from a consumer entity, a machine learning request for a machine learning model related to a target, the machine learning request comprising a machine learning identifier to identify the machine learning model, a target identifier to identify the target, and a consumer entity identifier to identify the consumer entity;
• obtain a machine learning adaptation profile based at least in part on information or data retrieved from the machine learning identifier, the target identifier, and the consumer entity identifier;
• adapt the machine learning model based at least in part on the machine learning adaptation profile to generate a deployable version of the machine learning model;
• and
• cause the deployable version of the machine learning model to be provided to the target.