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Create a python wrapper and unit test for the new `bounded_rand_int` C function used in LibSVM and LibLinear

See original GitHub issue

Following PR #13511 a new random number generator was created: bounded_rand_int

It currently has no dedicated unit test, which could be dangerous on the long run. I suggest that we create a python wrapper for it and create at least one dedicated python unit test to ensure correct randomization quality on all platforms.

For example the test could generate various random integers with various bounds, and assess that the resulting histogram is “flat” (uniform distribution). I do not know if we need to go for dedicated uniformity tests like Chi Square or Kolmogorov Smirnov…

Issue Analytics

State:
Created 3 years ago
Comments:12 (11 by maintainers)

Top GitHub Comments

1reaction

Justin-Hubercommented, Apr 7, 2020

Can I take this issue?

0reactions

Justin-Hubercommented, May 7, 2020

I submitted a pull request (https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=16354&view=results) but the installation on all platforms failed. I’m not sure how to make sense of the logs. They all fail compiling the cython generated .c files for the _newrand.pyx I added. Any ideas?

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