Factual package intelligence from PyPI

mlops-tid-regression-model 0.0.1 package intelligence

Example regression model package from Train In Data.

pip install mlops-tid-regression-model

Current version
0.0.1
Python requirement
>=3.9.0
License
BSD-3
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
365.4 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

mlops-tid-regression-model dependencies

PyPI declares 41 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. annotated-types ==0.6.0
  2. certifi ==2023.11.17
  3. charset-normalizer ==3.3.2
  4. click ==8.1.7
  5. colorama ==0.4.6
  6. docopt ==0.6.2
  7. exceptiongroup ==1.2.0
  8. feature-engine ==1.6.2
  9. idna ==3.6
  10. iniconfig ==2.0.0
  11. joblib ==1.3.2
  12. mccabe ==0.7.0
  13. mypy-extensions ==1.0.0
  14. numpy ==1.26.3
  15. packaging ==23.2
  16. pandas ==2.1.4
  17. pathspec ==0.12.1
  18. patsy ==0.5.6

The compact report shows 18 of 41 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

mlops-tid-regression-model publishes 1 wheel and 1 source archive for version 0.0.1. Wheel platform tags: any.

Declared Python classifiers: 3.6, 3.7, 3.8, 3.9.

Metadata completeness

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

Release activity and sources

PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .

The project does not publish external project URLs in its PyPI metadata.