Factual package intelligence from PyPI

tsshap-timeseries 0.1.2 package intelligence

TsSHAP-style feature-based explainability for univariate forecasting: backtesting, interpretable features, tree surrogate (sklearn/XGBoost/LightGBM/CatBoost), SHAP, notebook-driven TSICE comparison.

pip install tsshap-timeseries

Current version
0.1.2
Python requirement
>=3.10
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
49.9 KiB
Release history
2 releases with files
Median release cadence
2 days

tsshap-timeseries dependencies

PyPI declares 19 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. pandas >=2.0
  2. numpy >=1.26
  3. scipy >=1.11
  4. scikit-learn >=1.3
  5. statsmodels >=0.14
  6. shap >=0.44
  7. matplotlib >=3.7

Compatibility and release files

tsshap-timeseries publishes 1 wheel and 1 source archive for version 0.1.2. 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 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 .

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