imbalanced-learn
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scikit-learn-contrib
Define inclusion criterion in imbalanced-learn in the documentation
I think that we never publicly exposed what would be the method inclusion in imbalanced-learn.
IMO, I think that we don't have to be as conservative as in scikit-learn to include new methods. However, I think that it is really important to have good documentation such that a new user can choose the appropriate method.
IMO, I think that we can include any method. However, we need to have a continuous benchmark tracking performance and computation time.
I think that the documentation should always refer to the benchmark.
@chkoar WDYT?
I think that we never publicly exposed what would be the method inclusion in imbalanced-learn.
We did that explicitly here.
However, we need to have a continuous benchmark tracking performance and computation time.
IMHO performance is not needed. At least for our regressions. Time is the key.