skll
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Add HistGradientBoostingClassifier and HistGradientBoostingRegressor
There is a new experimental implementation for GBTs which is supposed to be orders of magnitude faster than the vanilla GBTs for N > O(10K) which is not an uncommon use case for SKLL users.
We should include these once they move from experimental to stable versions. Not now.
Even though this is an experimental implementation for now, it's still fine to have this done in a branch that we can just merge later when the implementation is stable. It does mean that additional work may be required if the implementation changes upstream on the scikit-learn side but I think it won't be that bad.