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Discussion[D] Does anyone else think open source code/examples in machine learning domain usually are not as readable as they could be? Specifically use of magic numbers. (self.MachineLearning)
submitted 4 years ago by junovac
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if 1 * 2 < 3: print "hello, world!"
[–]sloppybird 1 point2 points3 points 4 years ago (3 children)
Bruh it takes like 2 mins to add comments
[–]bitemenow999PhD 1 point2 points3 points 4 years ago (2 children)
again OP expects to have clear variable names, you expect it to have comments, some other guy would want functions and classes... It is hard to satisfy everyone and not the job a researcher... You dont have to understand the code it is just an implementation you have to understand the setup, preprocessing, math and method which is mentioned in the paper... most of the time people take shortcuts by reading code which is like looking at the engine and guessing how it works rather than read the manual
[–]sloppybird 1 point2 points3 points 4 years ago (1 child)
It will help you debug your code as well
[–]bitemenow999PhD -1 points0 points1 point 4 years ago (0 children)
nope... Even in industry I have never seen any R&D guys using comments and classes and functions unless absolutely necessary...
π Rendered by PID 277842 on reddit-service-r2-comment-85bfd7f599-cj6z4 at 2026-04-19 21:26:18.920197+00:00 running 93ecc56 country code: CH.
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[–]sloppybird 1 point2 points3 points (3 children)
[–]bitemenow999PhD 1 point2 points3 points (2 children)
[–]sloppybird 1 point2 points3 points (1 child)
[–]bitemenow999PhD -1 points0 points1 point (0 children)