Bump imbalanced-learn from 0.11.0 to 0.12.3

[dependabot[bot]]

Bumps imbalanced-learn from 0.11.0 to 0.12.3.

Release notes

Sourced from imbalanced-learn's releases.

Imbalanced-learn 0.12.3

Changelog

Compatibility

• Compatibility with scikit-learn 1.5 #1074 and #1084 by Guillaume Lemaitre.

Imbalanced-learn 0.12.2

Changelog

Bug fixes

• Fix the way we check for a specific Python version in the test suite. #1075 by Guillaume Lemaitre.

Imbalanced-learn 0.12.1

Changelog

Bug fixes

• Fix a bug in InstanceHardnessThreshold where estimator could not be a Pipeline object. #1049 by Gonenc Mogol.

Compatibility

• Do not use distutils in tests due to deprecation. #1065 by Michael R. Crusoe.
• Fix the scikit-learn import in tests to be compatible with version 1.4.1.post1. #1073 by Guillaume Lemaitre.
• Fix test to be compatible with Python 3.13. #1073 by Guillaume Lemaitre.

Imbalanced-learn 0.12.0

Changelog

Bug fixes

• Fix a bug in SMOTENC where the entries of the one-hot encoding should be divided by sqrt(2) and not 2, taking into account that they are plugged into an Euclidean distance computation. #1014 by Guillaume Lemaitre.
• Raise an informative error message when all support vectors are tagged as noise in SVMSMOTE. #1016 by Guillaume Lemaitre.
• Fix a bug in SMOTENC where the median of standard deviation of the continuous features was only computed on the minority class. Now, we are computing this statistic for each class that is up-sampled. #1015 by Guillaume Lemaitre.
• Fix a bug in SMOTENC such that the case where the median of standard deviation of the continuous features is null is handled in the multiclass case as well. #1015 by Guillaume Lemaitre.
• Fix a bug in BorderlineSMOTE version 2 where samples should be generated from the whole dataset and not only from the minority class. #1023 by Guillaume Lemaitre.
• Fix a bug in NeighbourhoodCleaningRule where the kind_sel="all" was not working as explained in the literature. #1012 by Guillaume Lemaitre.
• Fix a bug in NeighbourhoodCleaningRule where the threshold_cleaning ratio was multiplied on the total number of samples instead of the number of samples in the minority class. #1012 by Guillaume Lemaitre.
• Fix a bug in RandomUnderSampler and RandomOverSampler where a column containing only NaT was not handled correctly. #1059 by Guillaume Lemaitre.

Compatibility

• BalancedRandomForestClassifier now support missing values and monotonic constraints if scikit-learn >= 1.4 is installed.
• Pipeline support metadata routing if scikit-learn >= 1.4 is installed.
• Compatibility with scikit-learn 1.4. #1058 by Guillaume Lemaitre.

... (truncated)

Commits

• 5f0ef2d bumpversion 0.12.3
• bb7e34a MAINT avoid warning deprecation sklearn 1.5 (#1084)
• 482ced9 DOC change version for compatibility sklearn 1.5
• 7c26d56 MAINT compatibility sklearn 1.5 (#1074)
• 78d94a5 MAINT Improve pipeline's validation readability (#1066)
• d91a4cd DOC improve rendering of the documentation (#1076)
• 015d9a9 REL bumpversion 0.12.2
• bda1eb6 FIX change the way we check for a specific Python version in the test suite (...
• dd24e14 REL bumpversion 0.12.1
• 2671568 MAINT update the python version supported (#1073)
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