API reference

This is the full API documentation of the imbalanced-learn toolbox.

• Under-sampling methods
  • Prototype generation
    • ClusterCentroids
  • Prototype selection
    • CondensedNearestNeighbour
    • EditedNearestNeighbours
    • RepeatedEditedNearestNeighbours
    • AllKNN
    • InstanceHardnessThreshold
    • NearMiss
    • NeighbourhoodCleaningRule
    • OneSidedSelection
    • RandomUnderSampler
    • TomekLinks
• Over-sampling methods
  • Basic over-sampling
    • RandomOverSampler
  • SMOTE algorithms
    • SMOTE
    • SMOTENC
    • SMOTEN
    • ADASYN
    • BorderlineSMOTE
    • KMeansSMOTE
    • SVMSMOTE
• Combination of over- and under-sampling methods
  • SMOTEENN
    • Examples using imblearn.combine.SMOTEENN
  • SMOTETomek
    • Examples using imblearn.combine.SMOTETomek
• Ensemble methods
  • Boosting algorithms
    • EasyEnsembleClassifier
    • RUSBoostClassifier
  • Bagging algorithms
    • BalancedBaggingClassifier
    • BalancedRandomForestClassifier
• Batch generator for Keras
  • BalancedBatchGenerator
    • Examples using imblearn.keras.BalancedBatchGenerator
  • balanced_batch_generator
• Batch generator for TensorFlow
  • balanced_batch_generator
• Miscellaneous
  • FunctionSampler
    • Examples using imblearn.FunctionSampler
• Pipeline
  • Pipeline
    • Examples using imblearn.pipeline.Pipeline
  • make_pipeline
    • Examples using imblearn.pipeline.make_pipeline
• Metrics
  • Classification metrics
    • classification_report_imbalanced
    • sensitivity_specificity_support
    • sensitivity_score
    • specificity_score
    • geometric_mean_score
    • macro_averaged_mean_absolute_error
    • make_index_balanced_accuracy
  • Pairwise metrics
    • ValueDifferenceMetric
• Datasets
  • make_imbalance
    • Examples using imblearn.datasets.make_imbalance
  • fetch_datasets
    • Examples using imblearn.datasets.fetch_datasets
• Utilities
  • Validation checks used in samplers
    • parametrize_with_checks
    • check_neighbors_object
    • check_sampling_strategy
    • check_target_type
  • Testing compatibility of your own sampler
    • parametrize_with_checks

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11. References

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Under-sampling methods