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/
< jenkins-mlpack2> Yippee, build fixed!
< jenkins-mlpack2> Project mlpack - git commit test build #658: FIXED in 1 hr 3 min: http://ci.mlpack.org/job/mlpack%20-%20git%20commit%20test/658/
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< NippunSharmaGitt> The arma::mat.load() is defined in armadillo and i think only works for loading integers or floats, it cannot handle strings or categorical variables. The other one is defined inside mlpack and can handle strings or categorical vars by using `DatasetMapper` class.
< NippunSharmaGitt> I guess you can use the mlpack one for this purpose
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< zoq> ABHINAVANAND[m]: Hello, quite some interesting layers, so yeah I think that could make a great addition and GSoC project; that said since the program is going to be shorter this year this might be too much work, so I would probably cut it down a bit.
< jeffin143[m]> Do you know why linux build fails to find cereal ?
< shrit[m]> Would you send me the pull request link? thanks
< shrit[m]> jeffin143: this is the pull request right: https://github.com/mlpack/mlboard/pull/17/files
< jeffin143[m]> shrit: yes that the pull request
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< shrit[m]> jeffin143: I left a comment on the pull request