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GitHub / damianhorna / multi-imbalance
Python package for tackling multi-class imbalance problems. http://www.cs.put.poznan.pl/mlango/publications/multiimbalance/
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/damianhorna%2Fmulti-imbalance
Stars: 74
Forks: 10
Open Issues: 23
License: mit
Language: Python
Repo Size: 66 MB
Dependencies:
101
Created: almost 5 years ago
Updated: 13 days ago
Last pushed: 18 days ago
Last synced: 13 days ago
Commit Stats
Commits: 342
Authors: 6
Mean commits per author: 57.0
Development Distribution Score: 0.611
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/damianhorna/multi-imbalance
Topics: bagging, balancing, class-imbalance, decision-trees, decomposition, ensembles, machine-learning, multi-class-imbalance, oversampling, preprocessing, python, python-package, resampling, smote, undersampling
Files
Dependencies
- Babel ==2.8.0
- Jinja2 ==2.11.1
- MarkupSafe ==1.1.1
- Pygments ==2.6.1
- QtPy ==1.9.0
- Send2Trash ==1.5.0
- Sphinx ==3.0.1
- alabaster ==0.7.12
- attrs ==19.3.0
- backcall ==0.1.0
- bleach ==3.1.4
- certifi ==2020.4.5.1
- chardet ==3.0.4
- commonmark ==0.9.1
- coverage ==5.1
- cycler ==0.10.0
- decorator ==4.4.2
- defusedxml ==0.6.0
- docutils ==0.16
- entrypoints ==0.3
- idna ==2.9
- imagesize ==1.2.0
- imbalanced-learn ==0.6.2
- importlib-metadata ==1.6.0
- ipykernel ==5.1.4
- ipython ==7.13.0
- ipython-genutils ==0.2.0
- ipywidgets ==7.5.1
- jedi ==0.16.0
- joblib ==0.14.1
- jsonschema ==3.2.0
- jupyter ==1.0.0
- jupyter-client ==6.1.2
- jupyter-console ==6.1.0
- jupyter-core ==4.6.3
- kiwisolver ==1.1.0
- matplotlib ==3.1.3
- mistune ==0.8.4
- more-itertools ==8.2.0
- multi-imbalance ==0.0.8
- nbconvert ==5.6.1
- nbformat ==5.0.4
- notebook ==6.0.3
- numpy ==1.18.2
- packaging ==20.3
- pandas ==1.0.3
- pandocfilters ==1.4.2
- parso ==0.6.2
- pexpect ==4.8.0
- pickleshare ==0.7.5
- pluggy ==0.13.1
- prometheus-client ==0.7.1
- prompt-toolkit ==3.0.4
- ptyprocess ==0.6.0
- py ==1.8.1
- pyparsing ==2.4.7
- pyrsistent ==0.16.0
- pytest ==5.4.1
- pytest-cov ==2.8.1
- python-dateutil ==2.8.1
- pytz ==2019.3
- pyzmq ==18.1.1
- qtconsole ==4.7.2
- recommonmark ==0.6.0
- requests ==2.23.0
- rinoh-typeface-dejavuserif ==0.1.1
- rinoh-typeface-texgyrecursor ==0.1.1
- rinoh-typeface-texgyreheros ==0.1.1
- rinoh-typeface-texgyrepagella ==0.1.1
- rinohtype ==0.4.0
- scikit-learn ==0.22.2.post1
- scipy ==1.4.1
- seaborn ==0.10.0
- six ==1.14.0
- snowballstemmer ==2.0.0
- sphinx-rtd-theme ==0.4.3
- sphinxcontrib-applehelp ==1.0.2
- sphinxcontrib-devhelp ==1.0.2
- sphinxcontrib-htmlhelp ==1.0.3
- sphinxcontrib-jsmath ==1.0.1
- sphinxcontrib-qthelp ==1.0.3
- sphinxcontrib-serializinghtml ==1.1.4
- terminado ==0.8.3
- testpath ==0.4.4
- tornado ==6.0.4
- traitlets ==4.3.3
- urllib3 ==1.25.9
- wcwidth ==0.1.9
- webencodings ==0.5.1
- widgetsnbextension ==3.5.1
- zipp ==3.1.0
- IPython >=7.13.0
- coverage >=5.1
- imbalanced-learn >=0.6.1
- matplotlib >=3.2.1
- numpy >=1.17.0
- pandas >=0.25.1
- pytest >=5.1.2
- pytest-cov >=2.8.1
- scikit-learn >=0.22
- seaborn >=0.10.1