Hi Gabriel, sure, you could do this. You can propose anything you think is feasible to solve the problem with your project.
Best, Patrick On 28/02/18 09:30 PM, Gabriel Laberge wrote: > Hi, > This question is for those who are familiar with the logistic > regressions used in [0] https://arxiv.org/pdf/1711.01519.pdf > > In this article, a multinomial logistic regression to find the optimal > chunk size and prefetching distance. These variables are ordinal since > they are numbers. However from what i've read, the multinomial > regression is most useful to find nominal variables. [1] > https://stats.idre.ucla.edu/r/dae/multinomial-logistic-regression/ > From what I understand, chunk size and prefetching distance are > ordinal variables. In that case, maybe a ordinal logistic regression > would be a better choice since such a regression is made to work with > ordinal variables instead of nominal. > > What do you think? > Gabriel Laberge. > > > _______________________________________________ > hpx-users mailing list > [email protected] > https://mail.cct.lsu.edu/mailman/listinfo/hpx-users > _______________________________________________ hpx-users mailing list [email protected] https://mail.cct.lsu.edu/mailman/listinfo/hpx-users
