Sort the Work Into Training-Time or Inference-Time
Separate tasks that belong to model training from tasks that belong to live inference.
Sort each concern into the stage where it mainly belongs. Training-time concern Inference-time concern Handoff risk between them Whether the historical target label is consistent enough to learn from. Whether the prediction arrives within the mobile app latency budget. Whether the most predictive feature is missing when the live request happens. Whether the held-out evaluation set reflects the current decision population. Whether scores should be cached nightly or computed on demand. Whether the serving pipeline transforms a categorical field differently from the training pipeline.
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