hi, try this:
--- from sklearn import datasets, linear_model d = datasets.load_diabetes() print linear_model.Lasso(normalize=True).fit(d['data'], d['target']).coef_ print linear_model.Lasso(normalize=False).fit(2. * d['data'], d['target']).coef_ ---- returns: [ 0. -0. 367.70185207 6.30190419 0. 0. -0. 0. 307.6057 0. ] [ 0. -0. 235.5193666 68.25355407 -0. -0. -29.1597744 0. 204.01166218 0. ] the diabetes dataset is normalized. best, Alex On Sat, Jun 1, 2013 at 3:48 AM, o m <oda...@gmail.com> wrote: > The following script shows no difference in coefficients with or without > normalization: > > >>>> d = datasets.load_diabetes() > >>>> linear_model.Lasso(normalize=True).fit(d['data'], d['target']).coef_ > array([ 0. , -0. , 367.70185207, 6.30190419, > 0. , 0. , -0. , 0. , > 307.6057 , 0. ]) > >>>> clf = linear_model.Lasso(normalize=False).fit(d['data'], >>>> d['target']).coef_ > array([ 0. , -0. , 367.70185207, 6.30190419, > 0. , 0. , -0. , 0. , > 307.6057 , 0. ]) >>>> > > What am I doing wrong? > Is it possible that coef_ are always reported unnormalized? > > Best Regards. > > ------------------------------------------------------------------------------ > Get 100% visibility into Java/.NET code with AppDynamics Lite > It's a free troubleshooting tool designed for production > Get down to code-level detail for bottlenecks, with <2% overhead. > Download for free and get started troubleshooting in minutes. > http://p.sf.net/sfu/appdyn_d2d_ap2 > _______________________________________________ > Scikit-learn-general mailing list > Scikit-learn-general@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > ------------------------------------------------------------------------------ Get 100% visibility into Java/.NET code with AppDynamics Lite It's a free troubleshooting tool designed for production Get down to code-level detail for bottlenecks, with <2% overhead. Download for free and get started troubleshooting in minutes. http://p.sf.net/sfu/appdyn_d2d_ap2 _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general