Factual package intelligence from PyPI

sklearn-ensemble-cv 0.2.5 package intelligence

Ensemble Cross-validation is a Python package for performing specialized cross-validation on ensemble models, such as extrapolated cross-validation (ECV), generalized cross-validation (GCV), and etc. The implementation of ensemble models are based on scikit-learn.

pip install sklearn-ensemble-cv

Current version
0.2.5
Python requirement
>=3.6
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
29.9 KiB
Release history
6 releases with files
Median release cadence
70 days

sklearn-ensemble-cv dependencies

PyPI declares 7 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. joblib
  2. numba
  3. numpy
  4. pandas
  5. pip
  6. scikit-learn
  7. tqdm

Compatibility and release files

sklearn-ensemble-cv publishes 1 wheel and 1 source archive for version 0.2.5. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

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

Release activity and sources

PyPI lists 6 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

The project does not publish external project URLs in its PyPI metadata.