[mlpack] GSoC 2018: Particle Swarm Optimization

[Chintan Soni]

Hello Marcus,

> That is correct, if you like to work on it, please feel free.

Yes sure, I intend to have atleast a basic PSO working before the proposal
submission deadline; it will help get down the details better.

>> Glad to know that, I'll also look into the idea of using lambdas, and
>> see if I can come up with a comparison between the two.
>
> Sounds good, that might be a good point to include in the application.

Thanks, I'll keep that in mind while writing the application.

> Google recommends, google docs, which makes it super easy to provide
feedback.

Yeah, that's easier to handle in most cases.

I also tried disabling the python bindings, the build process seems to be
much smoother than before. I was thinking of building the mlpack_test cli
executable to quickly add and run tests after building; that, however,
requires building the cli executables, and it wouldn't hurt bypassing
those. I was thinking of manually linking against the generated library and
writing tests externally; is there another approach which is more commonly
used by everyone?

Thanks for all the help, I will keep you updated regarding my progress.
Also, should I wait for the existing PR ([1]) to be merged before adding my
code to it? Or is it better to just submit code written in a different
directory (pso_lbest)? The former might make it easier to integrate the two
approaches (gbest and lbest), but it might make adding support for GD a bit
tricky.

Thanks and regards,
Chintan

Links used:
[1] https://github.com/mlpack/mlpack/pull/1225
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