mlflow.autolog() helps teams by:
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Short Explanation and Infographic
autolog = less boilerplate for params/metrics/models on supported libs.
Full explanation below image
Full Explanation
Autolog instruments sklearn/XGBoost/etc. Still review what was logged and add custom metrics as needed.