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@Pseudomanifold
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Dear authors,

I improved the general usage of the runMLG application by implementing proper loading and processing for arbitrary data sets. Moreover, I added generic CMake integration such that building the tool should now be easier.

Hope you like this pull request; let me know if I can improve it in any way. Thank you very much for providing your code in the first place, I really appreciate it!

Currently, the main function contains a hard-coded list of data sets and
their unique labels. It is easier to determine this automatically. Plus,
the use of `PTC` in the code is misleading, because it comes in multiple
versions.
The project can now be built as described in the manual. C++11 is
automatically selected, but no optimisation flags are set yet. If
this is required, the setup has to be adjusted.
@horacepan
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Hi @Pseudomanifold,
Currently don't have capacity to review the pull request but I'll try to get to it by mid December. Thanks for taking the time to submit this pull request! It's very much appreciated and I'm glad you found the code to be useful :)

@Pseudomanifold
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Dear Horace,

Take your time! I merely wanted to 'push' my changes lest I forget about them in some forlorn repository. There's definitely no rush!

Best,
Bastian

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2 participants