Could you give a reference for gradient boosting with fully corrective
updates?
Since the philosophy of gradient boosting is to fit each tree against the
residuals (or negative gradient) so far, I am wondering how such fully
corrective update would work...
Mathieu
On Tue, Sep 16, 2014 at 9:16 AM, c TAKES <ctakesli...@gmail.com> wrote:
> Is anyone working on making Gradient Boosting Regressor work with sparse
> matrices?
>
> Or is anyone working on adding an option for fully corrective gradient
> boosting, I.E. all trees in the ensemble are re-weighted at each iteration?
>
> These are things I would like to see and may be able to help with if no
> one is currently working on them.
>
>
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