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more stable yeo johnson roundtrips #494

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merged 6 commits into from
Aug 13, 2024

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@mathause mathause commented Aug 12, 2024

With this we can take another stab at #476. It also seems a bit faster. Modeled after scikit-learn/scikit-learn#26188

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codecov bot commented Aug 12, 2024

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 50.11%. Comparing base (9b0b76b) to head (3c12f01).
Report is 78 commits behind head on main.

Additional details and impacted files
@@             Coverage Diff             @@
##             main     #494       +/-   ##
===========================================
- Coverage   87.90%   50.11%   -37.80%     
===========================================
  Files          40       50       +10     
  Lines        1745     3512     +1767     
===========================================
+ Hits         1534     1760      +226     
- Misses        211     1752     +1541     
Flag Coverage Δ
unittests 50.11% <100.00%> (-37.80%) ⬇️

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@veni-vidi-vici-dormivi
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Huh interesting, so that means that np.power yields less precision than np.exp and np.log, right? That's good to know.

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Thanks. I think its more the np.expm1 and np.log1p. From the docstrings:

  • expm1: This function provides greater precision than exp(x) - 1 for small values of x.
  • log1p: For real-valued input, log1p is accurate also for x so small that 1 + x == 1 in floating-point accuracy.

(interesting the names are not symmetric...)

@mathause mathause merged commit ee2916c into MESMER-group:main Aug 13, 2024
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@mathause mathause deleted the stabilize_yeo_johnson branch August 13, 2024 10:28
@veni-vidi-vici-dormivi
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Interesting. Thanks for doing that!

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