Hi all and Noel in particular, I just noticed that AdaBoostClassifier uses max_depth=1 (decision stumps) while AdaBoostRegressor has max_depth=3 by default (as Gradient Boosting models).
Is there a motivation for the discrepancy between classification and regression? If so I think it should be documented in the narrative doc (and the docstrings). Otherwise do you think it would make sense to have same default value for the 2 models and if so, which value? -- Olivier http://twitter.com/ogrisel - http://github.com/ogrisel ------------------------------------------------------------------------------ Learn Graph Databases - Download FREE O'Reilly Book "Graph Databases" is the definitive new guide to graph databases and their applications. Written by three acclaimed leaders in the field, this first edition is now available. Download your free book today! http://p.sf.net/sfu/13534_NeoTech _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
