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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.
@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: