Hello Sang, welcome, you are right ideally we can come up with an implementation that supports both, but if we can't e.g. if we are going to implement a PSO variant that only works on one there is no need to merge both approaches.
I hope anyything I said makes sense, let me know if I should clarify anything. Thanks, Marcus > On 19. Mar 2019, at 03:07, sangyunxin <[email protected]> wrote: > > Dear all, > My name is Sang Yunxin, and I am a senior student from Whuhan University, > China. I want to participate in GSoC 2019 and take part in establishing > "Particle swarm optimization". > According to my understanding of this idea and previous discussions about > this project, I will work to provide a PSO optimizer which works for both > unconstrained and constrained problems to complement mlpack optimizer API —— > ensmallen. Do I have a correct understanding for this project? > Thank you, and I look forward to hearing from you. > _______________________________________________ > mlpack mailing list > [email protected] > http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack
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