Factual package intelligence from PyPI

forest-fire 0.1.1 package intelligence

Algerian Forest Fire Prediction Model

pip install forest-fire

Current version
0.1.1
Python requirement
>=3.6
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
13.2 KiB
Release history
2 releases with files
Median release cadence
0 days

forest-fire dependencies

PyPI declares 20 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. pandas ==2.2.2
  2. numpy ==1.26.0
  3. scikit-learn ==1.5.0
  4. xgboost ==2.0.3
  5. statsmodels ==0.14.2
  6. matplotlib ==3.6.0
  7. seaborn ==0.12.0
  8. dvc ==3.51.2
  9. dvc-gdrive ==3.0.1
  10. requests ==2.31.0
  11. pickles ==0.1.1
  12. joblib ==1.2.0
  13. argparse ==1.4.0
  14. simple-namespace ==1.0.0
  15. colorama ==0.4.6
  16. PyYAML ==6.0.1
  17. kaggle ==1.6.14
  18. python-dotenv
  19. setuptools
  20. wheel ==0.43.0

Compatibility and release files

forest-fire publishes 1 wheel and 1 source archive for version 0.1.1. Wheel platform tags: any.

Declared Python classifiers: 3.9.

Release activity and sources

PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .