Thanks Ronnie for pointing out the exact method in the scikit-learn library. Yes, that is exactly what I was asking how does the rescaling of features affect the gradient descent algorithm. Since, stochastic gradient descent is an algorithm which is used in machine learning quite a lot. It will be good to understand how its performance is affected after rescaling features.
Jaques, I am having some trouble running the example. But yes it will be good if we can have gui example. On 25-04-2013 19:12, [email protected] wrote: > Date: Thu, 25 Apr 2013 09:10:35 -0400 > From: Ronnie Ghose<[email protected]> > Subject: Re: [Scikit-learn-general] Effects of shifting and scaling on > Gradient Descent > To:[email protected] > Message-ID: > <CAHazPTmZX1dmMT1Mm_hTQjyyB8aV5C=5rd-l0dwcvzmdlxf...@mail.gmail.com> > Content-Type: text/plain; charset="iso-8859-1" > > I think he means what increases/benefits do you get from rescaling features > e.g. minmax or preprocessing.scale > On Thu, Apr 25, 2013 at 02:09:13PM +0200, Jaques Grobler wrote: >>> > >I also think it will be great to have this example on the website. >> >Do you mean like an interactive example that works similiar to the SVM >> >Gui example , but for understand the effects shifting and scaling of >> >data has on the rate of convergence of gradient descent and the surface >> >of the cost function? > This is out of scope for the project: scikit-learn is a machine learning > toolkit. Gradient descent is a general class of optimization algorithms. > > Ga?l -- 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
