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scikit-learn-contrib/imbalanced-learn
[BUG] test_estimators_compatibility_sklearn fails

Describe the bug Test test_estimators_compatibility_sklearn fails with AssertionError: Estimator SMOTEN didn t fail when fitted on sparse data but should have according to its tag self.input_tags.sparse=False. ...
  • penguinpee
  • 1
  • Opened 
    10 days ago
  • #1131

scikit-learn-contrib/imbalanced-learn
[BUG] SVMSMOTE sample_strategy not equalizing samples of different classes

Describe the bug When using SVMSMOTE the resampled data is not equal among the different classes when sampling_strategy is set to not majority or when passing a dict of values. Steps/Code to Reproduce ...
  • coughlin-devin
  • Opened 
    15 days ago
  • #1130

scikit-learn-contrib/imbalanced-learn
[ENH] Probabilities calibration

Scores returned by predict_proba method after applying undersampling or cost-sensitive learning are biased - they don t equal probabilities and need calibration. However, there is a simple transformation ...
  • annapintara
  • 1
  • Opened 
    on Feb 25
  • #1128

scikit-learn-contrib/imbalanced-learn
[ENH] Add Multilabel and multioutput support

Resampling techniques do not support multioutput classification tasks. ValueError: Imbalanced-learn currently supports binary, multiclass and binarized encoded multiclasss targets. Multilabel and multioutput ...
  • PerisN
  • Opened 
    on Jan 26
  • #1123

scikit-learn-contrib/imbalanced-learn
Issue after installing the package in Pycharm

Installed in Pycharm 2023.3.7 using standard pip install. Environment totally corrupted now. Pandas in particular. Have to build a new environment.
  • jshentz
  • Opened 
    on Jan 20
  • #1122

scikit-learn-contrib/imbalanced-learn
Latest scipy release requires explicit environment variable set

from imblearn.over_sampling import RandomOverSampler ../../miniconda3/envs/ehrapy/lib/python3.11/site-packages/imblearn/__init__.py:52: in module from . import ( ../../miniconda3/envs/ehrapy/lib/python3.11/site-packages/imblearn/combine/__init__.py:5: ...
  • Zethson
  • 1
  • Opened 
    on Jan 6
  • #1120

scikit-learn-contrib/imbalanced-learn
[BUG] Import Error of imblearn.over_sampling import SMOTE --- With Version of imbalanced-learn==0.13.0 --- Compatibility issue with scikit-learn==1.6.0 and sklearn-compat==0.1.3

Describe the bug A clear and concise description of what the bug is. Steps/Code to Reproduce !-- Example: from sklearn.feature_extraction.text import CountVectorizer from sklearn.decomposition import ...
  • aleee97
  • 3
  • Opened 
    on Jan 5
  • #1119

scikit-learn-contrib/imbalanced-learn
[BUG] From scikit-learn 1.7, `__sklearn_tags__` needs to be defined.

Describe the bug Instead of and scikit-learn enforces to define the `` method, as suggested by the following FutureWarning: The RandomUnderSampler or classes from which it inherits use `_get_tags` and ...
  • jamblejoe
  • 1
  • Opened 
    on Dec 20, 2024
  • #1114

scikit-learn-contrib/imbalanced-learn
[ENH] Allow fit_resample to receive metadata routed parameters

Is your feature request related to a problem? Please describe In cost-sensitive learning, resampling techniques are used to address the asymmetrical importance of data points. These techniques require ...
  • ShimantoRahman
  • 5
  • Opened 
    on Dec 16, 2024
  • #1111

scikit-learn-contrib/imbalanced-learn
[ENH] Enable LinearSVC (prob combined with Nystroem) for SVMSMOTE

-- If you want to propose a new algorithm, please refer first to the scikit-learn inclusion criterion: https://scikit-learn.org/stable/faq.html#what-are-the-inclusion-criteria-for-new-algorithms Is your ...
  • portchester1989
  • Opened 
    on Nov 26, 2024
  • #1107
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