Hi. is it possible that existing ML model can be trained addtionally in the following scenarios? and how? 1) when accurracy of part of the existing lables isn’t good enough, the user wants to have the ML model learn with more documents only for those labels 2) when ML model requires the new labels t…

@hongjoo.choi Yes, that’s correct! Regardless of whether the labels are newly added or existing ones, all labels both old and new should be annotated to the new dataset. This ensures that the ML model is trained comprehensively and recognizes both the previous and newly introduced labels.

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hongjoo.choi (HongJoo （崔弘周）) May 8, 2025, 2:57am 3

Thank you @Darshan_Sable . Then, is it possible to train the ML Model using new dataset witih only part of those lables (let’s say 3 out of 10 labels) without degrading the accuracy of the rest lables (e.g., 7 lables in this case)?

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