Factual package intelligence from PyPI

LZBEAT 0.13.1 package intelligence

This package contains several methods for calculating Conditional Average Treatment Effects

pip install lzbeat

Current version
0.13.1
Python requirement
Not declared
License
MIT
Distribution type
Includes compiled wheel
Release files
2 (1 wheels, 1 source)
Download size
2.3 MiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

LZBEAT dependencies

PyPI declares 21 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy
  2. scipy >1.4.0
  3. scikit-learn <1.2,>0.22.0
  4. sparse
  5. joblib >=0.13.0
  6. statsmodels >=0.10
  7. pandas
  8. shap <0.41.0,>=0.38.1
  9. dowhy <0.8
  10. lightgbm

The compact report shows 12 of 21 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

LZBEAT publishes 1 wheel and 1 source archive for version 0.13.1. Wheel platform tags: macosx_10_9_x86_64.

Declared Python classifiers: 3.6, 3.7, 3.8, 3.9.

Metadata completeness

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

Release activity and sources

PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .