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Title: imbalanced-learn-master Download
 Description: imbalanced-learn is a python package offering a number of re-sampling techniques commonly used in datasets showing strong between-class imbalance. It is compatible with scikit-learn_ and is part of scikit-learn-contrib_ projects.
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imbalanced-learn-master
imbalanced-learn-master\.coveragerc
imbalanced-learn-master\.github
imbalanced-learn-master\.github\ISSUE_TEMPLATE.md
imbalanced-learn-master\.github\PULL_REQUEST_TEMPLATE.md
imbalanced-learn-master\.gitignore
imbalanced-learn-master\.landscape
imbalanced-learn-master\.travis.yml
imbalanced-learn-master\AUTHORS.rst
imbalanced-learn-master\CONTRIBUTING.md
imbalanced-learn-master\LICENSE
imbalanced-learn-master\MANIFEST.in
imbalanced-learn-master\Makefile
imbalanced-learn-master\README.rst
imbalanced-learn-master\appveyor.yml
imbalanced-learn-master\build_tools
imbalanced-learn-master\build_tools\circle
imbalanced-learn-master\build_tools\circle\push_doc.sh
imbalanced-learn-master\build_tools\travis
imbalanced-learn-master\build_tools\travis\after_success.sh
imbalanced-learn-master\build_tools\travis\install.sh
imbalanced-learn-master\build_tools\travis\test_script.sh
imbalanced-learn-master\circle.yml
imbalanced-learn-master\conda-recipe
imbalanced-learn-master\conda-recipe\conda_deployement.sh
imbalanced-learn-master\conda-recipe\imbalanced-learn
imbalanced-learn-master\conda-recipe\imbalanced-learn\bld.bat
imbalanced-learn-master\conda-recipe\imbalanced-learn\build.sh
imbalanced-learn-master\conda-recipe\imbalanced-learn\meta.yaml
imbalanced-learn-master\doc
imbalanced-learn-master\doc\Makefile
imbalanced-learn-master\doc\_static
imbalanced-learn-master\doc\_static\css
imbalanced-learn-master\doc\_static\css\imbalanced-learn.css
imbalanced-learn-master\doc\about.rst
imbalanced-learn-master\doc\api.rst
imbalanced-learn-master\doc\conf.py
imbalanced-learn-master\doc\index.rst
imbalanced-learn-master\doc\install.rst
imbalanced-learn-master\doc\make.bat
imbalanced-learn-master\doc\sphinxext
imbalanced-learn-master\doc\sphinxext\LICENSE.txt
imbalanced-learn-master\doc\sphinxext\MANIFEST.in
imbalanced-learn-master\doc\sphinxext\README.txt
imbalanced-learn-master\doc\sphinxext\github_link.py
imbalanced-learn-master\doc\sphinxext\sphinx_issues.py
imbalanced-learn-master\doc\support.rst
imbalanced-learn-master\doc\todo.rst
imbalanced-learn-master\doc\whats_new.rst
imbalanced-learn-master\examples
imbalanced-learn-master\examples\README.txt
imbalanced-learn-master\examples\applications
imbalanced-learn-master\examples\applications\README.txt
imbalanced-learn-master\examples\applications\plot_multi_class_under_sampling.py
imbalanced-learn-master\examples\applications\plot_over_sampling_benchmark_lfw.py
imbalanced-learn-master\examples\combine
imbalanced-learn-master\examples\combine\README.txt
imbalanced-learn-master\examples\combine\plot_smote_enn.py
imbalanced-learn-master\examples\combine\plot_smote_tomek.py
imbalanced-learn-master\examples\datasets
imbalanced-learn-master\examples\datasets\README.txt
imbalanced-learn-master\examples\datasets\plot_make_imbalance.py
imbalanced-learn-master\examples\ensemble
imbalanced-learn-master\examples\ensemble\README.txt
imbalanced-learn-master\examples\ensemble\plot_balance_cascade.py
imbalanced-learn-master\examples\ensemble\plot_easy_ensemble.py
imbalanced-learn-master\examples\evaluation
imbalanced-learn-master\examples\evaluation\README.txt
imbalanced-learn-master\examples\evaluation\plot_classification_report.py
imbalanced-learn-master\examples\evaluation\plot_metrics.py
imbalanced-learn-master\examples\model_selection
imbalanced-learn-master\examples\model_selection\README.txt
imbalanced-learn-master\examples\model_selection\plot_validation_curve.py
imbalanced-learn-master\examples\over-sampling
imbalanced-learn-master\examples\over-sampling\README.txt
imbalanced-learn-master\examples\over-sampling\plot_adasyn.py
imbalanced-learn-master\examples\over-sampling\plot_random_over_sampling.py
imbalanced-learn-master\examples\over-sampling\plot_smote.py
imbalanced-learn-master\examples\pipeline
imbalanced-learn-master\examples\pipeline\README.txt
imbalanced-learn-master\examples\pipeline\plot_pipeline_classification.py
imbalanced-learn-master\examples\under-sampling
imbalanced-learn-master\examples\under-sampling\README.txt
imbalanced-learn-master\examples\under-sampling\plot_cluster_centroids.py
imbalanced-learn-master\examples\under-sampling\plot_condensed_nearest_neighbour.py
imbalanced-learn-master\examples\under-sampling\plot_enn_renn_allknn.py
imbalanced-learn-master\examples\under-sampling\plot_instance_hardness_threshold.py
imbalanced-learn-master\examples\under-sampling\plot_nearmiss.py
imbalanced-learn-master\examples\under-sampling\plot_neighbourhood_cleaning_rule.py
imbalanced-learn-master\examples\under-sampling\plot_one_sided_selection.py
imbalanced-learn-master\examples\under-sampling\plot_random_under_sampler.py
imbalanced-learn-master\examples\under-sampling\plot_tomek_links.py
imbalanced-learn-master\imblearn
imbalanced-learn-master\imblearn\__init__.py
imbalanced-learn-master\imblearn\base.py
imbalanced-learn-master\imblearn\combine
imbalanced-learn-master\imblearn\combine\__init__.py
imbalanced-learn-master\imblearn\combine\smote_enn.py
imbalanced-learn-master\imblearn\combine\smote_tomek.py
imbalanced-learn-master\imblearn\combine\tests

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