Hi,
There is sparse input support with adaboost for weak learners that supports
sparse input (such as sgd).
For adaboost with decision tree as weak learner, this is in progress
see the pull request https://github.com/scikit-learn/scikit-learn/pull/3173
For gradient tree boosting, nothing has been done yet. But there is
a GSOC on this subject.
Best regards,
Arnaud
On 02 Jul 2014, at 17:14, Awhan Patnaik <[email protected]> wrote:
> Are there any development branches that have sparse input support for
> boosting based classifiers? I checked 0.15-git version and could not
> find any.
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