Factual package intelligence from PyPI

dataclr 0.3.0 package intelligence

A Python library for feature selection in tabular datasets

pip install dataclr

Current version
0.3.0
Python requirement
>=3.9
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
98.2 KiB
Release history
4 releases with files
Median release cadence
3 days

dataclr dependencies

PyPI declares 20 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. scikit-learn >=1.6.0
  2. numpy >=2.0.2
  3. pandas >=2.2.3
  4. tqdm >=4.67.1
  5. optuna >=4.1.0
  6. dcor >=0.6
  7. statsmodels >=0.14.4
  8. setuptools >=62.0.0
  9. numba <0.61.0,>=0.60.0 when python_version < "3.13"
  10. numba >=0.61.0rc2 when python_version >= "3.13"
  11. shap >=0.46.0
  12. hyperopt >=0.2.7
  13. Boruta >=0.4.3

Compatibility and release files

dataclr publishes 1 wheel and 1 source archive for version 0.3.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.9.

Metadata completeness

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

Release activity and sources

PyPI lists 4 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .