文件名称:imbalanced-learn-master

  • 所属分类:
  • 其他小程序
  • 资源属性:
  • [Linux] [SHELL] [源码]
  • 上传时间:
  • 2017-07-08
  • 文件大小:
  • 203kb
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  • 0次
  • 提 供 者:
  • zhong******
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基于不均衡数据的学习,包含各种机器学习算法,python 操作(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.)
相关搜索: imbalanced
learning

(系统自动生成,下载前可以参看下载内容)

下载文件列表

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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