+1 for the general idea! 2013/3/4 Andreas Mueller <amuel...@ais.uni-bonn.de>: > On 03/04/2013 10:59 PM, Robert Layton wrote: >> For the algorithms, I would recommend splitting by application. Rather >> than "Supervised learning" and "Unsupervised learning", have: >> - Classification >> - Regression >> - Feature Selection >> - Feature Reduction/Creation >> - Clustering >> - Optimising Parameters >> - Evaluating >> - Text Mining
Don't forget feature extraction; that subsumes what you call text mining (hasher and DictVectorizer are much more general). Also decomposition is missing. -- Lars Buitinck Scientific programmer, ILPS University of Amsterdam ------------------------------------------------------------------------------ Everyone hates slow websites. So do we. Make your web apps faster with AppDynamics Download AppDynamics Lite for free today: http://p.sf.net/sfu/appdyn_d2d_feb _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
