Repository Issue Activity (beta)

#1198 [BUG] ValueDifferenceMetric.pairwise silently ignores extra features

#1200 [DOC] Typo fix

#1107 [ENH] Enable LinearSVC (prob combined with Nystroem) for SVMSMOTE

#1191 classification_report_imbalanced raises opaque IndexError on target_names length mismatch

#1186 [Bug] KMeansSMOTE fails when clusters have identical points and generates more samples than requested

#1180 [BUG] sensitivity_specificity_support returns wrong specificity with sample_weight (can exceed 1)

#980 Alignment of near miss 3 documentation/implementation with theory

#1035 [BUG] SMOTENC fails with ValueError: zero-size array to reduction operation maximum which has no identity

#1039 Cannot find reference for the one vs. rest scheme used to extend many algorithms for the multi-class case

#1030 Seeking reference for the shrinkage parameter in `RandomOversampler`

#716 Add more test for the checks in estimator_cheks.py

#1123 [ENH] Add Multilabel and multioutput support

#1082 Combine SMOTENC and TomekLink and Classifier together in a pipeline for Mixed Datatype Datasets

#582 generating samples when training set is sparse

#540 Sample selection bias and up/down-sampling

#730 paper: The Effect of Class Distribution on Classifier Learning: An Empirical Study

#1033 Problem implementing a custom transformer for multilabel SMOTE

#982 Index is out of bounds for axis 0

#571 Add method for regression

#1111 [ENH] Allow fit_resample to receive metadata routed parameters

#1096 [BUG] geometric_mean_score with average='macro'

#1101 [DOC] User warning over sampling methods

#1102 [ENH] Handling time series/3D data

#1154 [BUG] imblearn 0.14.0 incompatible with sklearn 1.8.0; ImportError: from imblearn.pipeline import pipeline

#1155 [BUG] imbalanced-learn 0.14.0 incompatible with scikit-learn 1.8.0 (ImportError + AdaBoost API break)