ISO/IEC 23053:2022
Machine learning system – ISO/IEC 23053:2022

ISO/IEC 23053:2022 6.5: Tools

What does 6.5 require?

This is the largest technical component in the framework. The public contents gives it five titled subclauses: general, data preparation, categories of ML algorithms, optimisation methods and evaluation metrics. The algorithm group is where the framework explains the families a practitioner chooses between, and the metrics group is where a result becomes comparable. The public draft of Amendment 1 inserts two new entries in the algorithm group, for transformer architecture and for generative models, and it does not move the existing structure. That placement is the clearest public statement of what the amendment is: an extension of the vocabulary at the point where a practitioner selects a model family.

Maintained by Gerard Blokdyk

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