ADVANCED • MLOps and Reproducibility
Feature Quality Checkpoint #13
This lesson focuses on strengthen experiment tracking using a practical energy usage forecasting scenario. You will apply commands: mlflow.start_run() | onnx.export() | pip install torch torchvision. The code example demonstrates a concrete workflow aligned with this lesson objective, not generic filler.
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