Factual package intelligence from PyPI

imbalanced-ensemble 0.2.3 package intelligence

Toolbox for ensemble learning on class-imbalanced dataset.

pip install imbalanced-ensemble

Current version
0.2.3
Python requirement
Not declared
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
6.8 MiB
Release history
12 releases with files
Median release cadence
75 days

imbalanced-ensemble dependencies

PyPI declares 22 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.16.0
  2. scipy >=1.9.1
  3. pandas >=2.1.1
  4. joblib >=0.11
  5. scikit-learn ==1.6.0
  6. matplotlib >=3.3.2
  7. seaborn >=0.13.2
  8. tqdm >=4.50.2
  9. openml >=0.14.0
  10. platformdirs >=3.0.0

The compact report shows 12 of 22 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

imbalanced-ensemble publishes 1 wheel and 1 source archive for version 0.2.3. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.9.

Metadata completeness

PyPI does not currently declare: Python requirement. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 12 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

6 historical releases are fully yanked in PyPI metadata.