ML model source code

metric

ML-R1.5-01M: Metadata includes information about ML model source code. Test: 1) The code to download is included with the model. 2) There is a link to a software repository to download the code.

Principle: R

Rationale: Essential properties of ML model source code, such as dependencies, libraries, code repository, etc., are important to enable code reuse. A link to the appropriate software repository with all information is desirable. This is a disciplinary requirement.

FAIR Metrics: R1.5

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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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