Hi!
On Wed, Apr 27, 2016 at 2:46 PM, Li Aodong wrote:
>
> First, it is about the subsample parameter description. As the picture
> below, it says that "Choosing subsample < 1.0 leads to *a* *reduction of
> variance and an increase in bias*". But I think choosing subsample < 1.0
> actually* increa
Dear all,
Recently I have been using scikit-learn as my tool box of traditional machine
learning. And I am pretty surprised about the strength. However, I have also
met some problems about gradient boosting module and I think you can help me
figure them out.
First, it is about the subsample
