Factual package intelligence from PyPI

evalml 0.84.0 package intelligence

an AutoML library that builds, optimizes, and evaluates machine learning pipelines using domain-specific objective functions

pip install evalml

Current version
0.84.0
Python requirement
<4,>=3.9
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
12.3 MiB
Release history
87 releases with files
Median release cadence
13 days

evalml dependencies

PyPI declares 61 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.22.0
  2. pandas <2.1.0,>=1.5.0
  3. scipy >=1.5.0
  4. scikit-learn >=1.3.2
  5. scikit-optimize >=0.9.0
  6. pyzmq >=20.0.0
  7. colorama >=0.4.4
  8. cloudpickle >=1.5.0
  9. click >=8.0.0
  10. shap >=0.45.0
  11. statsmodels >=0.12.2
  12. texttable >=1.6.2
  13. woodwork >=0.22.0
  14. dask !=2022.10.1,>=2022.2.0
  15. distributed !=2022.10.1,>=2022.2.0
  16. featuretools >=1.16.0
  17. nlp-primitives >=2.9.0
  18. networkx >=2.7
  19. plotly >=5.0.0
  20. kaleido >=0.2.0
  21. ipywidgets >=7.5
  22. xgboost >=1.7.0.post0
  23. catboost >=1.1.1
  24. lightgbm >=4.0.0
  25. matplotlib >=3.3.3

The compact report shows 25 of 61 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

evalml publishes 1 wheel and 1 source archive for version 0.84.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.9.

Metadata completeness

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

Release activity and sources

PyPI lists 87 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 .