Factual package intelligence from PyPI

tid-costa-rica-poverty-prediction 0.0.3 package intelligence

Train a Random Forest model to predict poverty level of costa rican household based on their demographic characteristics

pip install tid-costa-rica-poverty-prediction

Current version
0.0.3
Python requirement
>=3.10.5
License
BSD-3
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
19.8 MiB
Release history
3 releases with files
Median release cadence
1 days

tid-costa-rica-poverty-prediction dependencies

PyPI declares 147 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. altair ==4.2.0
  2. appnope ==0.1.3
  3. argon2-cffi ==21.3.0
  4. argon2-cffi-bindings ==21.2.0
  5. asttokens ==2.0.5
  6. attrs ==21.4.0
  7. backcall ==0.2.0
  8. beautifulsoup4 ==4.11.1
  9. bleach ==5.0.0
  10. blinker ==1.5
  11. cachetools ==5.2.0
  12. certifi ==2022.6.15
  13. cffi ==1.15.0
  14. chardet ==5.1.0
  15. charset-normalizer ==2.1.0
  16. click ==8.1.3
  17. colorama ==0.4.6
  18. commonmark ==0.9.1

The compact report shows 18 of 147 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

tid-costa-rica-poverty-prediction publishes 1 wheel and 1 source archive for version 0.0.3. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.6, 3.7, 3.8, 3.9.

Release activity and sources

PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .