ChanServ changed the topic of #mlpack to: "mlpack: a fast, flexible machine learning library :: We don't always respond instantly, but we will respond; please be patient :: Logs at http://www.mlpack.org/irc/
< Manav-KumarGitte>
Not able to include #include <mlpack/methods/approx_kfn/approx_kfn_main.cpp> in mlpack lab, can somebody please help me with it?
< Manav-KumarGitte>
I need to include all the files included in it and run the approx_kfn code ?
< zoq>
Manav-KumarGitte: Just, #include <mlpack/prereqs.hpp> and #include <mlpack/methods/neighbor_search/neighbor_search.hpp>
< zoq>
Manav-KumarGitte: You can look at the tests for more simple/minimal examples.
< Manav-KumarGitte>
Ok, i will go through it.
< Manav-KumarGitte>
Also is there some work still pending in the neighbour search alg
< zoq>
Manav-KumarGitte: I think there are some open issues on GitHub but I'm not sure.
< Manav-KumarGitte>
ok
< Manav-KumarGitte>
Also Does the rule based classification methods uses fuzzy sets in their logic?
Param-29Gitter[m has joined #mlpack
< Param-29Gitter[m>
Hey in mlpack/examples repo are we planning to add examples of different machine learning models? If so I would also like to contribute in the same.
< metahost>
rcurtin: is it also for the ensmallen repo?
< rcurtin>
metahost: yeah, mlpack-bot should post to both. I don't have ensmallen stickers yet---actually I just ordered them yesterday, but I don't know how long they will take to get here
< rcurtin>
Stickermule said that they are having delays because of the coronavirus