On Wed, Sep 09, 2015 at 02:10:05PM -0400, Andreas Mueller wrote: > I see two possible ways forward: > a) Make the functions private and deprecate the public interface, like > k_means, lars_path, ....
These functions are important for reuse in an algorithmic setting: if I am doing an algorithm that uses k-means or lars_path inside the algorithm, it is much more natural to use the functions, and they have less overhead. I think that the target usecase for the functions is not the same as for objects. They target more advanced users who understand better what they do. For this reason, things like input-parameter validation, that are heavily tested by the common tests, should probably not be in the functions (they induce overhead which may be quite important inside an algorithm). In a sense, I feel that common tests are less important, and maybe not wanted for functions, as we will be putting expections all the time. Gaƫl ------------------------------------------------------------------------------ Monitor Your Dynamic Infrastructure at Any Scale With Datadog! Get real-time metrics from all of your servers, apps and tools in one place. SourceForge users - Click here to start your Free Trial of Datadog now! http://pubads.g.doubleclick.net/gampad/clk?id=241902991&iu=/4140 _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general