Factual package intelligence from PyPI

k-fold-imblearn 1.0.0 package intelligence

KFoldImblearn handles the resampling of data in a k fold fashion, taking care of information leakage so that our results are not overly optimistic. It is built over the imblearn package and is compatible with all the oversampling as well as under sampling methods provided in the

pip install k-fold-imblearn

Current version
1.0.0
Python requirement
Not declared
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
16.9 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

k-fold-imblearn dependencies

PyPI declares 3 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. pandas >=1.1.5
  2. scikit-learn >=0.24.0
  3. imbalanced-learn >=0.8.0

Compatibility and release files

k-fold-imblearn publishes 1 wheel and 1 source archive for version 1.0.0. Wheel platform tags: any.

Declared Python classifiers: 3.6, 3.7, 3.8.

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 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .