Model productization assessment
AssigneeInternational Business Machines Corporation
InventorsRahul NAIR, Andrew T. PENROSE
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Abstract
Various embodiments are provided for improving machine learning model integration using one or more processors in a computing system. One or more artifacts of one or more machine learning models may be inspected. A degree of compatibility may be determined between the one or more machine learning models and an application based on inspecting the one or more artifacts. One or more adjustments may be recommended to the one or more artifacts based on the degree of compatibility for integrating the one or more machine learning models into the application.
Claims20
A method for improving machine learning model integration in a computing environment using one or more processors comprising:
- inspecting one or more artifacts of one or more machine learning models;
- determining a degree of compatibility between the one or more machine learning models and an application based on inspecting the one or more artifacts;
- and
- recommending one or more adjustments to the one or more artifacts based on the degree of compatibility for integrating the one or more machine learning models into the application.
A system for improving machine learning model integration in a computing environment, comprising:
- one or more computers with executable instructions that when executed cause the system to:
- inspect one or more artifacts of one or more machine learning models;
- determine a degree of compatibility between the one or more machine learning models and an application based on inspecting the one or more artifacts;
- and
- recommend one or more adjustments to the one or more artifacts based on the degree of compatibility for integrating the one or more machine learning models into the application.
A computer program product for increasing trustworthiness of an accelerator in heterogenous systems in a computing environment, the computer program product comprising:
- one or more computer readable storage media, and program instructions collectively stored on the one or more computer readable storage media, the program instructions comprising:
- program instructions to inspect one or more artifacts of one or more machine learning models;
- program instructions to determine a degree of compatibility between the one or more machine learning models and an application based on inspecting the one or more artifacts;
- and
- program instructions to recommend one or more adjustments to the one or more artifacts based on the degree of compatibility for integrating the one or more machine learning models into the application.
Dependencies are inferred from the claim text.