Factual package intelligence from PyPI

metacountregressor 1.0.106 package intelligence

JAX-first hierarchical search and fitting for count, CMF, duration, and linear models.

pip install metacountregressor

Current version
1.0.106
Python requirement
>=3.10
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
4.1 MiB
Release history
327 releases with files
Median release cadence
0 days

metacountregressor dependencies

PyPI declares 12 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. latextable >=1.0.0
  2. matplotlib >=3.0.0
  3. numpy >=1.24
  4. pandas >=2.0
  5. psutil >=5.9
  6. scikit-learn >=1.3
  7. scipy >=1.11
  8. seaborn >=0.12
  9. statsmodels >=0.14
  10. texttable >=1.7
  11. tabulate >=0.9
  12. requests

Compatibility and release files

metacountregressor publishes 1 wheel and 1 source archive for version 1.0.106. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12.

Security snapshot for metacountregressor 1.0.106

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 327 releases with files. The first dated release is ; 88 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

3 historical releases are fully yanked in PyPI metadata.