+1 for tackling Bagging first. It's not hard if you are used to the sklearn API.
Alex On Tue, Oct 16, 2012 at 5:16 PM, Mathieu Blondel <[email protected]> wrote: > Hi, > > There used to be a few interesting github PRs, unfortunately closed or > stalled. > > Adaboost: > https://github.com/scikit-learn/scikit-learn/pull/522 > > Bagging: > https://github.com/scikit-learn/scikit-learn/pull/583 > > Functional gradient boosting: > https://github.com/scikit-learn/scikit-learn/pull/492 > > I think the Adaboost and Bagging PRs would be the simplest to resurrect > (maybe from a new clean branch for Adaboost). > Bagging would get my vote for tackling it first (Adaboost may require some > project-wide cleanups with respect to the sample_weight fit option). > > Cheers, > Mathieu > > ------------------------------------------------------------------------------ > Don't let slow site performance ruin your business. Deploy New Relic APM > Deploy New Relic app performance management and know exactly > what is happening inside your Ruby, Python, PHP, Java, and .NET app > Try New Relic at no cost today and get our sweet Data Nerd shirt too! > http://p.sf.net/sfu/newrelic-dev2dev > _______________________________________________ > Scikit-learn-general mailing list > [email protected] > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > ------------------------------------------------------------------------------ Don't let slow site performance ruin your business. Deploy New Relic APM Deploy New Relic app performance management and know exactly what is happening inside your Ruby, Python, PHP, Java, and .NET app Try New Relic at no cost today and get our sweet Data Nerd shirt too! http://p.sf.net/sfu/newrelic-dev2dev _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
