It's a little bit off-topic, and I am really not that much into the literature to be a judge of that, but just a few days ago there was formal letter of complaint against ELMs: http://theanonymousemail.com/view/?msg=ZHEZJ1AJ that I thought you might find interesting.
> On May 7, 2015, at 1:10 AM, Joel Nothman <joel.noth...@gmail.com> wrote: > > What Sebastian and Ronnie said. Plus: there are multiple off-the-shelf neural > net pull requests in the process of review, notably those by Issam Laradji > for GSoC 2014. Extreme Learning Machines and Multilayer Perceptrons should be > merged Real Soon Now. > > > On 7 May 2015 at 14:58, Ronnie Ghose <ronnie.gh...@gmail.com> wrote: > neural nets are already well supported in other python libraries and don't > fit the current transformer model that scikit-learn uses > > On Thu, May 7, 2015 at 12:55 AM, Sebastian Raschka <se.rasc...@gmail.com> > wrote: > I am not one of the core developers, just a typical user, but although I > think that neural nets would be a nice addition, I have to admit that I > wouldn't count them as top priority. I think that in applications, neural > networks require far more flexibility for tweaking than the "classic" > off-the-shelve learning algorithms currently implemented in scikit-learn. I > think that it really requires a lot of planning to implement them in a way > that allows a user certain flexibility. To me, neural nets are more of an > "research tool" in contrast to the currently implemented algos in > scikit-learn. I really would like to see some way of implementing frameworks > for neural networks in some useful way in scikit-learn, but I can understand > that it would really require a different API, a lot of planning, and a lot of > work. Also, there are many attempts to implement neural nets already, like > pylearn2, lasagne, and all the other theano wrappers > > > > > > On May 6, 2015, at 11:15 PM, 赵孽 <snakehunt2...@gmail.com> wrote: > > > > I used to seeking neural network algorithms in sklearn, but I just found a > > RBF in it. > > There are plenty of Neural Network algorithms, why dose we only support RBF > > which is not even a typical neural network ? > > I thought the neural networks should be the largest family amount sklearn > > algoritms, but it is far smaller than embedings, far smaller than SVMs. > > ------------------------------------------------------------------------------ > > One dashboard for servers and applications across Physical-Virtual-Cloud > > Widest out-of-the-box monitoring support with 50+ applications > > Performance metrics, stats and reports that give you Actionable Insights > > Deep dive visibility with transaction tracing using APM Insight. > > http://ad.doubleclick.net/ddm/clk/290420510;117567292;y_______________________________________________ > > Scikit-learn-general mailing list > > Scikit-learn-general@lists.sourceforge.net > > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > > > ------------------------------------------------------------------------------ > One dashboard for servers and applications across Physical-Virtual-Cloud > Widest out-of-the-box monitoring support with 50+ applications > Performance metrics, stats and reports that give you Actionable Insights > Deep dive visibility with transaction tracing using APM Insight. > http://ad.doubleclick.net/ddm/clk/290420510;117567292;y > _______________________________________________ > Scikit-learn-general mailing list > Scikit-learn-general@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > > > ------------------------------------------------------------------------------ > One dashboard for servers and applications across Physical-Virtual-Cloud > Widest out-of-the-box monitoring support with 50+ applications > Performance metrics, stats and reports that give you Actionable Insights > Deep dive visibility with transaction tracing using APM Insight. > http://ad.doubleclick.net/ddm/clk/290420510;117567292;y > _______________________________________________ > Scikit-learn-general mailing list > Scikit-learn-general@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > > > ------------------------------------------------------------------------------ > One dashboard for servers and applications across Physical-Virtual-Cloud > Widest out-of-the-box monitoring support with 50+ applications > Performance metrics, stats and reports that give you Actionable Insights > Deep dive visibility with transaction tracing using APM Insight. > http://ad.doubleclick.net/ddm/clk/290420510;117567292;y_______________________________________________ > Scikit-learn-general mailing list > Scikit-learn-general@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general ------------------------------------------------------------------------------ One dashboard for servers and applications across Physical-Virtual-Cloud Widest out-of-the-box monitoring support with 50+ applications Performance metrics, stats and reports that give you Actionable Insights Deep dive visibility with transaction tracing using APM Insight. http://ad.doubleclick.net/ddm/clk/290420510;117567292;y _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
