Changelog

Bug fixes

• Fix a bug inSMOTENC 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 byGuillaume Lemaitre.
• Raise an informative error message when all support vectors are tagged as noise inSVMSMOTE.#1016 byGuillaume Lemaitre.
• Fix a bug inSMOTENC 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 byGuillaume Lemaitre.
• Fix a bug inSMOTENC 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 byGuillaume Lemaitre.
• Fix a bug inBorderlineSMOTE version 2 where samples should be generated from the whole dataset and not only from the minority class.#1023 byGuillaume Lemaitre.
• Fix a bug inNeighbourhoodCleaningRule where the kind_sel="all" was not working as explained in the literature.#1012 byGuillaume Lemaitre.
• Fix a bug inNeighbourhoodCleaningRule where the threshold_cleaning ratio was multiplied on the total number of samples instead of the number of samples in the minority class.#1012 byGuillaume Lemaitre.
• Fix a bug inRandomUnderSampler andRandomOverSampler where a column containing only NaT was not handled correctly.#1059 byGuillaume 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 byGuillaume Lemaitre.

Deprecations

• Deprecate estimator_ argument in favor of estimators_ for the classesCondensedNearestNeighbour andOneSidedSelection. estimator_ will be removed in 0.14.#1011 byGuillaume Lemaitre.
• Deprecate kind_sel in#1012 byGuillaume Lemaitre.

Enhancements

• Allows to output dataframe with sparse format if provided as input.#1059 byts2095.