ML model versions

metric

ML-F1.1-01S: Different versions of ML model are assigned different identifiers. Test: 1) Identifier follows a defined persistent identifier syntax. 2) Persistent identifier is resolvable (landing page can be reached).

Principle: F

Rationale: An ML model can have different versions. In this case, each such version should be assigned a unique identifier to enable a researcher to clearly identify a specific version of an ML model.

FAIR Metrics: F1.1

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FAIR for Machine Learning Models

This rubric consists of assessment metrics that evaluate the FAIR maturity of ML models. The metrics...

FAIR machine learning model FAIR assessment NFDI4DataScience

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