Factual package intelligence from PyPI

econml 0.16.0 package intelligence

This package contains several methods for calculating Conditional Average Treatment Effects

pip install econml

Current version
0.16.0
Python requirement
>=3.9
License
MIT
Distribution type
Includes compiled wheel
Release files
16 (15 wheels, 1 source)
Download size
48.9 MiB
Release history
34 releases with files
Median release cadence
32 days

econml dependencies

PyPI declares 20 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 <1.7,>=1.0
  4. sparse
  5. joblib >=0.13.0
  6. statsmodels >=0.10
  7. pandas >1.0
  8. shap <0.49.0,>=0.38.1
  9. lightgbm
  10. packaging

The compact report shows 12 of 20 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

econml publishes 15 wheels and 1 source archive for version 0.16.0. Wheel platform tags: macosx_11_0_arm64, manylinux_2_17_x86_64.manylinux2014_x86_64, win_amd64.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.9.

Release activity and sources

PyPI lists 34 releases 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 . The preceding dated release was .