Exposing payload data from non-integrated machine learning systems
Abstract:
Aspects of the present invention provide an approach for exposing payloads from non-integrated machine learning systems. A generic binding identifier is established to represent a machine learning (ML) system among a set of non-integrated learning systems. A generic subscription identifier is established to represent a deployed model in the ML system. Payload data including a user request, a response, the generic binding identifier, and the generic subscription identifier are received from the ML system and stored in a database for later analysis to identify any issues related to the deployed model.
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