@Jaques Grobler: I ran the libsvm GUI code on the sklearn version 13.1 it was giving error importing - "from sklearn.externals.six.move import xrange". But I commented the above line and it is working just fine.
As you have suggested GUI example might not really be that necessary. Illustrating difference with plots would also be good enough. Thanks a lot to Peter for the link. On 26-04-2013 16:08, [email protected] wrote: > Date: Fri, 26 Apr 2013 12:38:00 +0200 > From: Jaques Grobler <[email protected]> > Subject: Re: [Scikit-learn-general] Effects of shifting and scaling on > Gradient Descent > To: Scikit-Learn Mailing List > <[email protected]> > Message-ID: > <cahcsornqoyqudvvjnudlq5etk_vhwmpnk9hxeqidbd-m15e...@mail.gmail.com> > Content-Type: text/plain; charset="iso-8859-1" > > @Shishir Pandey on a slight tangent, what problems are you having with > running Libsvm GUI? > > I wonder if a GUI interactive example would really be necessary - we could > just have an example > illustrating the difference with plots when data is not scaled or scaled.. > if people find that useful. > But the GUI example could be nice too :) > > > 2013/4/26 Peter Prettenhofer <[email protected]> > >> > (first-order) GD uses a single learning rate for all features - if >> > features have a different variability its difficult to find a >> > one-size-fits-all learning rate - the parameters of high variability >> > features will tend to oscillate whereas the parameters of low variability >> > features will converge too slowly. >> > >> > There is a huge amount of literature on the topic - the Neural Network FAQ >> > [1] is a good (practical) starting point. >> > >> > [1] ftp://ftp.sas.com/pub/neural/FAQ2.html#A_std >> > -- sp ------------------------------------------------------------------------------ Try New Relic Now & We'll Send You this Cool Shirt New Relic is the only SaaS-based application performance monitoring service that delivers powerful full stack analytics. Optimize and monitor your browser, app, & servers with just a few lines of code. Try New Relic and get this awesome Nerd Life shirt! http://p.sf.net/sfu/newrelic_d2d_apr _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
