2013/1/14 Andreas Mueller :
> Hi Peter.
> I only skimmed your mail, but I understood you said that the problem is
> the use of a boolean mask.
> Wouldn't it be possible to do the subsampling explicitly before training
> the tree if the sample_fraction is low?
absolutely, when I wrote the code I ha
Hi Peter.
I only skimmed your mail, but I understood you said that the problem is
the use of a boolean mask.
Wouldn't it be possible to do the subsampling explicitly before training
the tree if the sample_fraction is low?
Or is the complexity of applying the sample mask higher than training
the
2013/1/13 Erik Bernhardsson :
> Just a quick question about the gradient boosting in scikit-learn. We have
> tons of data to regress on (like 100M data points), but the running time of
> the algorithm is linear in the size of X no matter what subsample is set to.
Hi Erik,
the problem pertains not
