ADVANCED • MLOps and Reproducibility
Modeling Sprint: optimize inference latency #2
This lesson focuses on optimize inference latency using a practical warehouse optimization model scenario. You will apply commands: pip install mlflow | optimizer.step() | mlflow.log_metric(). The code example demonstrates a concrete workflow aligned with this lesson objective, not generic filler.
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