Factual package intelligence from PyPI

ds-sale-prediction-package 0.1.8 package intelligence

This package provides a comprehensive toolkit for data preparation, feature extraction, model validation, hyperparameter optimization, and results visualization created for the Kaggle competition Predict Future Sales. The competition's objective is to predict total sales for each

pip install ds-sale-prediction-package

Current version
0.1.8
Python requirement
Not declared
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
26.1 KiB
Release history
8 releases with files
Median release cadence
1 days

ds-sale-prediction-package dependencies

PyPI declares 8 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. pandas
  2. numpy
  3. scikit-learn >=1.5
  4. matplotlib
  5. seaborn
  6. lightgbm
  7. hyperopt
  8. shap

Compatibility and release files

ds-sale-prediction-package publishes 1 wheel and 1 source archive for version 0.1.8. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

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

Release activity and sources

PyPI lists 8 releases with files. The first dated release is ; 8 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.