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I discovered today that when you train a model that has been already trained with a different input datasets (which may have a different energy binning) the previous instance of the trained model is not deleted. This gives errors in the later stages of the analysis (e.g. will extract all energy bins, from both instances).
The text was updated successfully, but these errors were encountered:
No rush at all! I just stumbled with this problem and lost some time until I realized about it... If you are aware of it, then another thing in our to-do list...
I discovered today that when you train a model that has been already trained with a different input datasets (which may have a different energy binning) the previous instance of the trained model is not deleted. This gives errors in the later stages of the analysis (e.g. will extract all energy bins, from both instances).
The text was updated successfully, but these errors were encountered: