Factual package intelligence from PyPI

quantile-regression-pdlp 0.4.2 package intelligence

Non-crossing quantile regression toolkit with joint multi-quantile fitting, inference, conformal calibration, and evaluation. Scikit-learn compatible.

pip install quantile-regression-pdlp

Current version
0.4.2
Python requirement
>=3.9
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
65.9 KiB
Release history
7 releases with files
Median release cadence
1 days

quantile-regression-pdlp dependencies

PyPI declares 14 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. ortools >=9.0.9047
  2. numpy >=1.18.0
  3. pandas >=1.0.0
  4. scipy >=1.4.0
  5. tqdm >=4.50.0
  6. joblib >=1.0.0
  7. scikit-learn >=0.22.0

Compatibility and release files

quantile-regression-pdlp publishes 1 wheel and 1 source archive for version 0.4.2. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.9.

Security snapshot for quantile-regression-pdlp 0.4.2

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

Release activity and sources

PyPI lists 7 releases with files. The first dated release is ; 7 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .