Factual package intelligence from PyPI

energy-consumption-forecasting 0.2.1 package intelligence

A Machine Learning project on Denmark's Energy Consumption.

pip install energy-consumption-forecasting

Current version
0.2.1
Python requirement
<3.12.0,>=3.11.7
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
86.1 KiB
Release history
3 releases with files
Median release cadence
4 days

energy-consumption-forecasting dependencies

PyPI declares 15 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. hopsworks <4.0.0,>=3.4.4
  2. pandas <3.0.0,>=2.1.4
  3. python-dotenv <2.0.0,>=1.0.1
  4. numpy <2.0.0,>=1.26.3
  5. pydantic <3.0.0,>=2.6.0
  6. httpx <0.27.0,>=0.26.0
  7. sktime <0.27.0,>=0.26.0
  8. wandb <0.17.0,>=0.16.3
  9. lightgbm <5.0.0,>=4.3.0
  10. optuna <4.0.0,>=3.5.0
  11. matplotlib <4.0.0,>=3.8.2
  12. seaborn <0.14.0,>=0.13.2
  13. plotly <6.0.0,>=5.19.0
  14. google-cloud-storage <3.0.0,>=2.15.0
  15. passlib <2.0.0,>=1.7.4

Compatibility and release files

energy-consumption-forecasting publishes 1 wheel and 1 source archive for version 0.2.1. Wheel platform tags: any.

No version-specific Python classifiers are declared.

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 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 .

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