Experiment Tracking
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Recording hyperparameters, metrics, artifacts, and code versions for each training run. Essential for comparing approaches and reproducing results. Key tools: MLflow, Weights & Biases, Neptune, CometML.
Related
- Model Registry (promote best experiments to registry)
- Reproducibility (tracking enables reproduction)