2013/6/20 Olivier Grisel <olivier.gri...@ensta.org>: >> Actually twice as much, even on a 32-bit platform (float size is >> always 64 bits). > > The decision tree code always uses 32 bits floats: > > https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/tree/_tree.pyx#L38 > > but you have to cast your data to `dtype=np.float32` in fortran layout > ahead of time to avoid the memory copy.
OneHot produces np.float, though, which is float64. -- Lars Buitinck Scientific programmer, ILPS University of Amsterdam ------------------------------------------------------------------------------ This SF.net email is sponsored by Windows: Build for Windows Store. http://p.sf.net/sfu/windows-dev2dev _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
