Factual package intelligence from PyPI

evalml-automining 0.0.4 package intelligence

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

pip install evalml-automining

Current version
0.0.4
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
3 releases with files
Median release cadence
46 days

evalml-automining 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 <2.3.0,>=1.5.0
  3. scipy <1.14.0,>=1.5.0
  4. scikit-learn >=1.3.2
  5. scikit-optimize >=0.9.0
  6. pyzmq >=21.0.2
  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-automining publishes 1 wheel and 1 source archive for version 0.0.4. 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 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .