On Sun, Mar 14, 2021 at 10:19:24PM +0530, RISHABH GARG wrote: > Hello Marcus and Ryan, I did a bit of research and found a few pitfalls in > the statsmodels library :- > 1. The algorithms written in it are in-memory algorithms, so it is > incapable of handling large datasets. > 2. It does not have very good documentation. > > We can easily beat it in terms of documentation, but I am not sure about > the external memory algorithms. Also, I would like to know if the > algorithms implemented in mlpack are in-memory or external memory?
All mlpack models use Armadillo, which only supports in-memory computation, but the algorithms themselves are implemented in a generic way, so with a little bit of work and hacking it is possible to use external memory for mlpack computations (but I think nobody is really doing this). -- Ryan Curtin | "Hey, tell me the truth... are we still in the [email protected] | game?" - The Chinese Waiter _______________________________________________ mlpack mailing list [email protected] http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack
