Hi all, I only just spotted sklearn.utils.as_float_array. I might have missed a discussion about this, but I notice it and its clients use an overwrite_Whatever convention, while older modules commonly use copy and copy_Whatever. When has as_float_array been introduced (wrt. releases) and can we change it to adhere to the older convention?
(I'm currently refactoring some of the client code to make a transition easier; all of it seems to do a call before calling LinearModel._center_data, so I'm trying to move the call to as_float_array to that method.) Regards, Lars -- Lars Buitinck Scientific programmer, ILPS University of Amsterdam ------------------------------------------------------------------------------ All the data continuously generated in your IT infrastructure contains a definitive record of customers, application performance, security threats, fraudulent activity and more. Splunk takes this data and makes sense of it. Business sense. IT sense. Common sense. http://p.sf.net/sfu/splunk-d2dcopy1 _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
