Factual package intelligence from PyPI

Icube-radiomics 0.0.2 package intelligence

Perform Radiomics Feature Extraction and Machine Learning

pip install icube-radiomics

Current version
0.0.2
Python requirement
Not declared
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
50.7 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

Icube-radiomics dependencies

PyPI declares 32 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. appdirs
  2. setuptools ==59.8.0
  3. matplotlib >=2.2.0
  4. numpy ==1.21.5
  5. pandas >=1.1.0
  6. scikit-learn ==1.0.2
  7. scipy >=1.1.0
  8. scikit-image ==0.17.2
  9. seaborn >=0.9.0
  10. PyYAML >=3.13
  11. catboost ==1.1.0
  12. SimpleITK >=2.1.0
  13. pyradiomics >=3.0.1
  14. threadpoolctl ==3.1.0
  15. imbalanced-learn ==0.9.0
  16. raster-geometry
  17. filelock
  18. psutil ==5.9.3

The compact report shows 18 of 32 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

Icube-radiomics publishes 1 wheel and 1 source archive for version 0.0.2. Wheel platform tags: any.

No version-specific Python classifiers are declared.

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 .