2012/1/20 Andreas <[email protected]>: > On 01/20/2012 11:07 PM, [email protected] wrote: >> I wonder if the Decision Tree base estimator could derive from a more >> general base estimator for Random Forests and just, for example, override a >> setup method or a constructor? >> >> > This seems like a very good idea. > It's definitely better than what I would have come up with. > > So the idea is that the meta estimator checks whether it got an estimator > derived from the base estimator and if so, calls some setup procedure?
I would rather have a `Bagging` base class (abstract or concrete, I don't know) with an overridable base`_pre_fit(self, X, y)` method that can precompute a dictionary of additional fit parameters to pass to the underlying classifier and make the `BaseForest` inherit from `Bagging` and override `_pre_fit` to compute `X_argsorted`. WDYT? -- Olivier http://twitter.com/ogrisel - http://github.com/ogrisel ------------------------------------------------------------------------------ Try before you buy = See our experts in action! The most comprehensive online learning library for Microsoft developers is just $99.99! Visual Studio, SharePoint, SQL - plus HTML5, CSS3, MVC3, Metro Style Apps, more. Free future releases when you subscribe now! http://p.sf.net/sfu/learndevnow-dev2 _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
