Factual package intelligence from PyPI

waste-forecasting-model 5.0.2 package intelligence

Salt-pond bittern waste valorisation predictor v5 — physics-based 9-target XGBoost model (Puttalam, Sri Lanka)

pip install waste-forecasting-model

Current version
5.0.2
Python requirement
>=3.10
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
1.3 MiB
Release history
12 releases with files
Median release cadence
0 days

waste-forecasting-model dependencies

PyPI declares 11 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. pandas >=2.0.0
  2. numpy >=1.24.0
  3. scikit-learn >=1.3.0
  4. xgboost >=2.0.0

Compatibility and release files

waste-forecasting-model publishes 1 wheel and 1 source archive for version 5.0.2. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12.

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 12 releases with files. The first dated release is ; 12 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

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