The objective of this chapter is to understand the difference between: a normal machine learning script without MLflow; the same script with MLflow tracking added. The goal is not only to run a model.
ML engineers constantly interrupt their workflow to answer questions like: "Which of my last 12 runs had the best PR-AUC at threshold 0.4?" "What hyperparameters did my champion LightGBM use?" "Have I ...
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