2014-01-29 Pablo Rozas Larraondo <p.rozas.larrao...@gmail.com>: > Suppose I want to create a regression tree accepting both continuous linear > data and circular data. If I implement a new RegressionCriterion specific > for circular data, how difficult would it be to grow a tree combining to > different Criterions (ie MSE and the new CircularCriterion)? > > I suppose the main complexity will come having to tag my variables as > [normal, circular] to be treated by the appropriate Criterion, but how > difficult this might be?
We don't have any convention for tagging different types of data at the moment, except in preprocessing transformers: all data going to actual estimators is considered continuous linear for simplicity. The simple solution would be to replace the circular features with their sine and cosine after projecting them onto the unit circle. ------------------------------------------------------------------------------ WatchGuard Dimension instantly turns raw network data into actionable security intelligence. It gives you real-time visual feedback on key security issues and trends. Skip the complicated setup - simply import a virtual appliance and go from zero to informed in seconds. http://pubads.g.doubleclick.net/gampad/clk?id=123612991&iu=/4140/ostg.clktrk _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
