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Add loss
selection for fitting(in the scaling step)
#64
Comments
If the data is noisy it makes sense to have something less sensitive to outliers. See the options here. Imo it's better if we decide what loss is best for the application, based on what is reasonable in the context, otherwise the users might get too many knobs to turn. |
It'll be mainly for IDS users and advanced users though. We can just set a default one for non-expert users. At least until the workflow is settled. It's still being developed by IDS members. |
@jokasimr suggested trying different
loss
functions for fitting.Maybe it'll be convenient if a user can choose
loss
functions as well.The text was updated successfully, but these errors were encountered: