How to Version Machine Learning Experiments Instead of Tracking Them
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Treating experiments as code by versioning code, data, pipelines, metrics and parameters allows to not only track the experiments, but to reproduce them when needed as well. On top of that, you can contribute to cleaner code, and less clutter when comparing experiments.