Thank you Artur,
That would be very interesting. I am not familiar with that but with the
libsvm.
PG
*Periklis Gogas
<
http://www.econ.duth.gr/personel/dep/gkogkas/index.en.shtml>*
Associate Professor
of Economic Analysis and International Economics
Department of Economics, Democritus University of Thrace
Euro Area Business Cycle Network - Fellow
<
http://www.eabcn.org/person/periklis-gogas>
The Rimini Centre for Economic Analysis - Fellow
<
http://www.rcfea.org/component/option,com_frontpage/Itemid,1/>
The Society for Economic Measurement - Member
<
http://sem.society.cmu.edu/home.html>
Institute for Nonlinear Dynamical Inference (INDI) - Charter Fellow
<
http://icemr.ru/institute-for-nonlinear-dynamical-inference/>
On Thu, Jul 20, 2017 at 3:17 PM, Artur Tarassow <
artur.tarassow(a)googlemail.com> wrote:
Am 20.07.2017 um 13:57 schrieb Periklis Gogas:
> Hello there,
>
> Are there any plans to incorporate any Machine Learning algorithms in
> Gretl?
>
> Thank you,
>
> PG
>
> *Periklis Gogas
>
Hey Preiklis,
I don't know whether Jack, Allin or anybody else plan to implement such
things into gretl's C-code.
However, it would be nice to have a wrapper, for instance, for the
glmnet-package written by Hastie et al. (URL:
https://web.stanford.edu/~hastie/swData.htm#Glmnet)
For this package there exists already a R, Matlab and Python wrapper. Of
course, the R and Python codes can always be called from gretl's
foreign-environment.
I think the very basic functions of the glmnet package are even written in
Fortran. I am curious whether gretl could call and process Fortran code?
Best,
Artur
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