Factual package intelligence from PyPI

randomForestUltra 0.5.0 package intelligence

2023-11-09 11:23:56It supports multi-objective variable and multi-fold random forest, and can calculate P value through random permutation.

pip install randomforestultra

Current version
0.5.0
Python requirement
>=3.7
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
21.0 KiB
Release history
3 releases with files
Median release cadence
1 days

randomForestUltra dependencies

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

  1. numpy
  2. pandas
  3. tqdm
  4. seaborn
  5. matplotlib
  6. scipy
  7. scikit-learn

Compatibility and release files

randomForestUltra publishes 1 wheel and 1 source archive for version 0.5.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

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

Release activity and sources

PyPI lists 3 releases with files. The first dated release is ; 3 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.