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
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<ShubhamAgrawal[7> > <@shubhamag:matrix.org> heisenbuug (Gopi M Tatiraju): I have made an PR on your repo.
<ShubhamAgrawal[7> heisenbuug (Gopi M Tatiraju):
<ShubhamAgrawal[7> > Can you check please?
<AshvithShetty[m]> <zoq[m]1> "Hello, https://www.mlpack.org/..."; <- Hey, I've tried some programs, but it seems to me that there isn't any proper guide on compiling the program, neither any dataset available.
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<zoq[m]1> <jonpsy[m]> "I thought the bandicoot project..." <- That doesn’t hold us back for GSoC.
<jonpsy[m]> Okay, I guess it'd be wise to split the bandicoot thingy into various modules. And then a person can propose to work on an independent module
<zoq[m]1> <heisenbuugGopiMT> "I was thinking can we propose..." <- For sure, as shrit mentioned we have to find the right scope of the project. But even if the person isn’t going to implement a new kernel there is enough to do to refactor the existing code to work with armadillo and bandicoot.
<zoq[m]1> jonpsy[m]: Agreed, which should be straightforward.
<zoq[m]1> <AshvithShetty[m]> "Hey, I've tried some programs..." <- We have tutorials which help you get started- https://www.mlpack.org/getstarted.html
<AshvithShetty[m]> <zoq[m]1> "We have tutorials which help you..." <- But in the example, the dataset is not present? Or may am I missing anything?
<AshvithShetty[m]> I am talking about this page - https://www.mlpack.org/doc/stable/doxygen/sample.html
<jonpsy[m]> rcurt@@ in, zoq @marcusedel:matrix.org So, I started contributing to Vowpal Wabbit repo & their codebase is a shipwreck.
<jonpsy[m]> Seeing other C++ ML libraries only makes me appreciate mlpack more, ours is much better.
<heisenbuugGopiMT> I will check it tonight...
<zoq[m]1> <AshvithShetty[m]> "I am talking about this page..." <- You can use your own data, or use one of the datasets from here https://github.com/mlpack/mlpack/tree/master/src/mlpack/tests/data. For example fake.csv works. But I agree we should list the dataset as well.
<AshvithShetty[m]> zoq[m]1: And what about the build flags zoq?
<AshvithShetty[m]> I've tried finding some of them from stack overflow, and it works, at least for some basic programs