Results Reproducibility Logs

From The Foundation for Best Practices in Machine Learning
Technical Best Practices > Product Traceability > Results Reproducibility Logs

Results Reproducibility Logs


Throughout the entire Product Lifecycle, whenever a Product component - inclusive of Models, experiments, analyses, transformation, and evaluations - are run, all parameters, hyperparameters and results ought to be logged and/or tracked, including unique identifier(s) for runs, artifacts, code and environments.


To (a) enable Absolute Reproducibility; (b) validate Models and Outcomes through enablement of analysis of logs, run comparisons and reproducibility.

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