k-means-constrained
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conda version
Dear coders, I noticed you have no conda version, which I would need to properly package something I have where this is a dependency. I will therefore ask to add your code in my library as a temporary fix, with the license and README of course. My code is here: https://github.com/brainspinner/cvasl , and there is a vendor folder with outside code.
Hi, great to hear you are using the package and thanks for letting me know you are embedding the library into your repo, which is totally fine 😃.
Out of interest, how are you using k-means-constrained in your project?
Hi, I am using your project because it is a dependency of a neuroimaging harmonization library. Unfortunately, most of these libraries were never released and versioned in any form, so I had to do a "vendor" version of them, now available(here: https://github.com/brainspinner/cvasl ,) as of a few days ago. Sometimes the dependiencies absolutely need a specific version of a library like yours to work correctly; but here the issue is that I want to keep everything a conda package, so to [ackage things correctly the way I know how, I would need to either have a conda version of your package, or vendor a part of your package (I'll add a lisence and credit you). Thanks!
Closing this ticket due to inactivity. Feel free to re-open or add further comments if you wish.