Factual package intelligence from PyPI

InsurAutoML 0.2.6 package intelligence

Automated Machine Learning/AutoML pipeline.

pip install insurautoml

Current version
0.2.6
Python requirement
>=3.7
License
MIT
Distribution type
Includes compiled wheel
Release files
3 (2 wheels, 1 source)
Download size
921.3 KiB
Release history
7 releases with files
Median release cadence
47 days

InsurAutoML dependencies

PyPI declares 43 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. setuptools
  2. threadpoolctl >2.2.0
  3. cython
  4. numpy <1.24.0
  5. pandas
  6. scipy
  7. pyarrow
  8. fastparquet
  9. func-timeout
  10. matplotlib
  11. seaborn >=0.11.0
  12. ray <2.0.0
  13. gensim
  14. ray
  15. tqdm
  16. tensorboardX
  17. scikit-learn >=1.2.0
  18. redis when platform_system == "Windows"

The compact report shows 25 of 43 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

InsurAutoML publishes 2 wheels and 1 source archive for version 0.2.6. Wheel platform tags: manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_24_x86_64, win_amd64.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 7 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 .