2014-03-07 11:26 GMT+01:00 Manoj Kumar <manojkumarsivaraj...@gmail.com>: > I'm sorry but I'm not quite able to get you. Do you mean logistic Regression > itself would handle the multi-output case, instead of the one vs All it does > now?
No, for multi-output you'd still want OvR, of course. What I'm saying (asking) is that (whether) the CD-based LogisticRegressionCV can do multinomial regression for the multiclass case (?), either by default or as an extra. Then maybe we can get rid of the additional multinomial L-BFGS estimator. I proposed it primarily because hacking true multinomial LR into Liblinear is more work than writing a new estimator. ------------------------------------------------------------------------------ Subversion Kills Productivity. Get off Subversion & Make the Move to Perforce. With Perforce, you get hassle-free workflows. Merge that actually works. Faster operations. Version large binaries. Built-in WAN optimization and the freedom to use Git, Perforce or both. Make the move to Perforce. http://pubads.g.doubleclick.net/gampad/clk?id=122218951&iu=/4140/ostg.clktrk _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
