rcurtin_irc changed the topic of #mlpack to: mlpack: a scalable machine learning library (https://www.mlpack.org/) -- channel logs: https://libera.irclog.whitequark.org/mlpack -- NOTE: messages sent here might not be seen by bridged users on matrix, gitter, or slack
<jonpsy[m]> <zoq[m]> "It is." <- Wohooooo ~!
<rcurtin[m]> zoq: I got it working! do you have a version of the `mlpack` package that is the current git master on `conda-forge` somewhere? I can package it if not
<rcurtin[m]> to fix the dependency resolution, I had to remove `cxx-compiler`, `c-compiler`, and `gxx_linux-64` from the `environment.yml`; those would cause the version of cling to be incompatible with the version of libstdc++
<rcurtin[m]> I also commented out the R-related packages because they had some dependency issue I did not look into yet...
<zoq[m]> I don’t, but can package it. But do we need to package it?
<zoq[m]> We could checkout the master branch or a specific commit during the build process?
<rcurtin[m]> yeah, I think you are right, I am doing that now
<rcurtin[m]> (just building mlpack master locally in the notebook container)
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