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Modifying parts of your pipeline is very common, and rerunning a full grid search can be very impractical. To support partial reruns we should think of the following:
Identifying (automatically based on config changes) which parts of the dacapo run need to be recomputed (validation results only or the full network training loop)
Provide ergonomic options for users to define which jobs should be rerun (i.e. a bug was fixed in a specific model, no need to retrain all models, just the one that was fixed)
Throw warnings when code has changed that potentially invalidated specific results ( code hashing )
The text was updated successfully, but these errors were encountered:
Modifying parts of your pipeline is very common, and rerunning a full grid search can be very impractical. To support partial reruns we should think of the following:
The text was updated successfully, but these errors were encountered: