Seems like that the GaussianProcess class only has an autocorrelation parameter, but when I understand correctly, the autocorrelation function is just the “normalized” covariance kernel, thus it may be possible to provide custom kernels here as well? If not, it may be interesting to re-factor it a little bit and borrow the code from SVM to accept custom kernels in Gaussian Processes as well?
> On Mar 31, 2016, at 5:17 PM, Andreas Mueller <t3k...@gmail.com> wrote: > > Hi. > What do you mean by Gaussian regression? > You can specify your own kernels for SVMs, but it will be a bit slower. > > Cheers, > Andy > > On 03/28/2016 09:40 PM, Amita Misra wrote: >> Hi, >> >> I was using weka earlier for support vector regression and gaussian >> regression >> >> I am now switching to scikit and was trying to replicate my results using >> support vector regression. >> I could get similar results for poly and rbf kernel. >> >> Is there a way I can specify Pearson VII function kernel(Puk Kernel) for >> support vector and Gaussian regression? >> >> Thanks, >> Amita >> >> >> >> -- >> Amita Misra >> Graduate Student Researcher >> Natural Language and Dialogue Systems Lab >> Baskin School of Engineering >> University of California Santa Cruz >> >> >> >> ------------------------------------------------------------------------------ >> Transform Data into Opportunity. >> Accelerate data analysis in your applications with >> Intel Data Analytics Acceleration Library. >> Click to learn more. >> >> http://pubads.g.doubleclick.net/gampad/clk?id=278785471&iu=/4140 >> >> >> _______________________________________________ >> Scikit-learn-general mailing list >> >> Scikit-learn-general@lists.sourceforge.net >> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > > ------------------------------------------------------------------------------ > Transform Data into Opportunity. > Accelerate data analysis in your applications with > Intel Data Analytics Acceleration Library. > Click to learn more. > http://pubads.g.doubleclick.net/gampad/clk?id=278785471&iu=/4140 > _______________________________________________ > Scikit-learn-general mailing list > Scikit-learn-general@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general ------------------------------------------------------------------------------ Transform Data into Opportunity. Accelerate data analysis in your applications with Intel Data Analytics Acceleration Library. Click to learn more. http://pubads.g.doubleclick.net/gampad/clk?id=278785471&iu=/4140 _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
