Factual package intelligence from PyPI

scikit-physlearn 0.1.7 package intelligence

A machine learning library for regression.

pip install scikit-physlearn

Current version
0.1.7
Python requirement
Not declared
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
294.8 KiB
Release history
9 releases with files
Median release cadence
29 days

scikit-physlearn dependencies

PyPI declares 15 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. matplotlib <=3.2.0
  2. numpy
  3. scipy
  4. scikit-learn >=0.24.1
  5. pandas >=1.0.0
  6. shap >=0.36.0
  7. ipython >=7.11.0
  8. bayesian-optimization >=1.2.0
  9. catboost >=0.23.2
  10. xgboost >=1.4.1
  11. lightgbm >=2.3.0
  12. mlxtend >=0.17.0
  13. python-levenshtein-wheels >=0.13.1

Compatibility and release files

scikit-physlearn publishes 1 wheel and 1 source archive for version 0.1.7. 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 9 releases with files. The first dated release is ; 6 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .