data/imbalanced-learn-0.7.0/CONTRIBUTING.md:137: runnning ==> running data/imbalanced-learn-0.7.0/README.rst:110: tre ==> tree data/imbalanced-learn-0.7.0/README.rst:144: Neighboorhood ==> Neighborhood data/imbalanced-learn-0.7.0/README.rst:183: Hart ==> Heart, harm data/imbalanced-learn-0.7.0/references.bib:53: Hart ==> Heart, harm data/imbalanced-learn-0.7.0/build_tools/azure/install.sh:15: seperated ==> separated data/imbalanced-learn-0.7.0/build_tools/azure/install.sh:17: decending ==> descending data/imbalanced-learn-0.7.0/build_tools/azure/posix-32.yml:24: commmands ==> commands data/imbalanced-learn-0.7.0/doc/about.rst:15: tre ==> tree data/imbalanced-learn-0.7.0/doc/index.rst:35: Addtional ==> Additional data/imbalanced-learn-0.7.0/doc/under_sampling.rst:245: neighboorhood ==> neighborhood data/imbalanced-learn-0.7.0/doc/bibtex/refs.bib:168: Hart ==> Heart, harm data/imbalanced-learn-0.7.0/doc/whats_new/v0.1.rst:26: Neighboorhood ==> Neighborhood data/imbalanced-learn-0.7.0/doc/whats_new/v0.2.rst:145: occurences ==> occurrences data/imbalanced-learn-0.7.0/doc/whats_new/v0.3.rst:75: consistant ==> consistent data/imbalanced-learn-0.7.0/doc/whats_new/v0.5.rst:27: documenation ==> documentation data/imbalanced-learn-0.7.0/doc/whats_new/v0.5.rst:63: COO ==> COUP data/imbalanced-learn-0.7.0/examples/applications/plot_over_sampling_benchmark_lfw.py:84: fpr ==> for, far, fps data/imbalanced-learn-0.7.0/examples/applications/plot_over_sampling_benchmark_lfw.py:85: fpr ==> for, far, fps data/imbalanced-learn-0.7.0/examples/applications/plot_over_sampling_benchmark_lfw.py:87: fpr ==> for, far, fps data/imbalanced-learn-0.7.0/examples/applications/porto_seguro_keras_under_sampling.py:231: whis ==> this data/imbalanced-learn-0.7.0/examples/ensemble/plot_comparison_ensemble_classifier.py:112: boostrap ==> bootstrap data/imbalanced-learn-0.7.0/examples/over-sampling/plot_comparison_over_sampling.py:48: characterisitic ==> characteristic data/imbalanced-learn-0.7.0/examples/over-sampling/plot_illustration_generation_sample.py:8: classe ==> class, classes data/imbalanced-learn-0.7.0/examples/pipeline/plot_pipeline_classification.py:33: Instanciate ==> Instantiate data/imbalanced-learn-0.7.0/examples/under-sampling/plot_comparison_under_sampling.py:124: targetted ==> targeted data/imbalanced-learn-0.7.0/examples/under-sampling/plot_comparison_under_sampling.py:177: neighors ==> neighbors data/imbalanced-learn-0.7.0/imblearn/__init__.py:4: datset ==> dataset data/imbalanced-learn-0.7.0/imblearn/_version.py:3: datset ==> dataset data/imbalanced-learn-0.7.0/imblearn/pipeline.py:225: transfomer ==> transformer data/imbalanced-learn-0.7.0/imblearn/combine/_smote_tomek.py:59: methos ==> methods, method data/imbalanced-learn-0.7.0/imblearn/datasets/_zenodo.py:149: refered ==> referred data/imbalanced-learn-0.7.0/imblearn/ensemble/_easy_ensemble.py:35: boostrap ==> bootstrap data/imbalanced-learn-0.7.0/imblearn/ensemble/_forest.py:84: boostrap ==> bootstrap data/imbalanced-learn-0.7.0/imblearn/ensemble/_weight_boosting.py:152: COO ==> COUP data/imbalanced-learn-0.7.0/imblearn/ensemble/tests/test_weight_boosting.py:74: outpus ==> output, outputs data/imbalanced-learn-0.7.0/imblearn/over_sampling/_adasyn.py:128: neigbours ==> neighbours, neighbors data/imbalanced-learn-0.7.0/imblearn/over_sampling/_smote.py:103: compatability ==> compatibility data/imbalanced-learn-0.7.0/imblearn/under_sampling/_prototype_selection/_condensed_nearest_neighbour.py:77: Hart ==> Heart, harm data/imbalanced-learn-0.7.0/imblearn/under_sampling/_prototype_selection/_nearmiss.py:127: neigbour ==> neighbour, neighbor data/imbalanced-learn-0.7.0/imblearn/utils/estimator_checks.py:3: Adapated ==> Adapted