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Add NuGet build config files #2

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@NaxAlpha NaxAlpha commented Apr 17, 2017

mlpack.autopkg is config file for NuGet build. During build, we can wget this file and use it to build and publish NuGet for mlpack.
Please, make any changes required in given file.

my_bin: {
#destination:${d_bin}/.;
#add-each-file : ::nuget.[default]targets.[${condition}].CopyToOutput;
"build/release/mlpack.dll"
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Shouldn't this be mlpack.lib? Also, it looks like destination and add-each-file are unused, so maybe we can remove the parameters?

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CoApp handles *.lib automatically but for bin it creates extra package called mlpack-redist. So, I had to use this simple hack trick. destination specifies content should be in bin path and add-each-file specifies bin file should be copied to output folder during build time.

}
files{
nestedInclude:{
#destination = ${d_include}mlpack;
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Can we remove destination here?

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If we remove destination then include folder in NuGet package doesn't get proper structure!

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Looks like there are a few more issues to address but I think this is a good start. Can you tell me how you tested this?

If I am understanding correctly, this autopkg file is only for packaging, not for compilation. So the compilation of mlpack on Windows is a separate step. Is that correct?

mlpack.autopkg Outdated
description: "mlpack is an intuitive, fast, scalable C++ machine learning library, meant to be a machine learning analog to LAPACK. It aims to implement a wide array of machine learning methods and functions as a "swiss army knife" for machine learning researchers.";
summary: "Bugs Fixed";
releaseNotes: "";
authors: {Ryan Curtin};
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I'm definitely not the only contributor, maybe we should wrote see http://www.mlpack.org/about.html here or something.

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But you are the owner 😃 and the list is too long 😆.

mlpack.autopkg Outdated
projectUrl: "https://github.com/mlpack/mlpack";
title: "mlpack: a scalable C++ machine learning library";
description: "mlpack is an intuitive, fast, scalable C++ machine learning library, meant to be a machine learning analog to LAPACK. It aims to implement a wide array of machine learning methods and functions as a "swiss army knife" for machine learning researchers.";
summary: "Bugs Fixed";
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Not sure what this means, maybe just put 'mlpack is a scalable C++ machine learning library' here and just use 'mlpack' as the title?

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That is good idea!

@NaxAlpha
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Definitely, it will only be used to pack NuGet package after AppVeyor build is complete!
To Test NuGet:

and Done!

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rcurtin commented Apr 21, 2017

Ok, sounds good. Can you fix the summary and description?

Once this is merged, what will the next step be? We need to hook up AppVeyor to build the tags of mlpack, then push that to build the NuGet package. Do you have a plan for how that can be done? We don't have any Windows build slaves currently, so if we can use AppVeyor for this it would be best.

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3 participants