Many thanks Arnaud :) On Wed, Jul 2, 2014 at 8:49 PM, Arnaud Joly <[email protected]> wrote: > 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. > > > > ------------------------------------------------------------------------------ > Open source business process management suite built on Java and Eclipse > Turn processes into business applications with Bonita BPM Community Edition > Quickly connect people, data, and systems into organized workflows > Winner of BOSSIE, CODIE, OW2 and Gartner awards > http://p.sf.net/sfu/Bonitasoft > _______________________________________________ > Scikit-learn-general mailing list > [email protected] > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general >
------------------------------------------------------------------------------ Open source business process management suite built on Java and Eclipse Turn processes into business applications with Bonita BPM Community Edition Quickly connect people, data, and systems into organized workflows Winner of BOSSIE, CODIE, OW2 and Gartner awards http://p.sf.net/sfu/Bonitasoft _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
