I have a feature with all the values between 0 and 1 except few outliers larger than 1. I am trying to collect all the methods that can help to decrease outliers' influence on non-tree models:
- Apply rank transform to the features
np.log1p(x)transform to the data
I wasn't able to imagine any other ... I guess that's all?