On Wed, Oct 19, 2011 at 6:32 PM, Lars Buitinck <[email protected]> wrote:
> I was wondering what the LogisticRegression class in > sklearn.linear_modules implements. Its docstring says just "logistic > regression", but I stumbled upon the liblinear authors' paper on LR > [1], and they claim to have developed a fast multiclass LR/MaxEnt > training algorithm as well. Does our implementation do LR or ME? Liblinear (at least the version we're shipping) uses one-vs-all LR. To see that, have a look at the train routine in linear.cpp and you'll see that it does a one-vs-all except when param->solver_type == MCSVM_CS, which corresponds to the multiclass SVM formulation of Crammer and Singer. Mathieu ------------------------------------------------------------------------------ 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-d2d-oct _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
