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DOC rework the over-sampling section of the user guide #1117

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@virchan virchan commented Jan 1, 2025

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What does this implement/fix? Explain your changes.

This PR reworks the Over-sampling section of the user guide to improve its organisation.

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codecov bot commented Jan 1, 2025

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 93.87%. Comparing base (e32819e) to head (c1c74db).
Report is 31 commits behind head on master.

Additional details and impacted files
@@            Coverage Diff             @@
##           master    #1117      +/-   ##
==========================================
+ Coverage   92.98%   93.87%   +0.89%     
==========================================
  Files         105       54      -51     
  Lines        8323     3610    -4713     
  Branches     1288      486     -802     
==========================================
- Hits         7739     3389    -4350     
+ Misses        465      124     -341     
+ Partials      119       97      -22     

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@@ -31,7 +31,7 @@ Imbalanced-learn samplers accept the same inputs as scikit-learn estimators:
* `data`, 2-dimensional array-like structures, such as:
* Python's list of lists :class:`list`,
* Numpy arrays :class:`numpy.ndarray`,
* Panda dataframes :class:`pandas.DataFrame`,
* Pandas dataframes :class:`pandas.DataFrame`,
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Fixing a typo from #1110.

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