Factual package intelligence from PyPI

poromat 0.1.2 package intelligence

Stress-strain prediction with porosity-aware models (Interpolation, LightGBM, Meta_learning)

pip install poromat

Current version
0.1.2
Python requirement
>=3.10
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
28.0 KiB
Release history
3 releases with files
Median release cadence
0 days

poromat dependencies

PyPI declares 19 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy <2.0,>=1.23
  2. pandas >=2.2.3
  3. scikit-learn >=1.6.1
  4. matplotlib >=3.9.2
  5. lightgbm >=4.6.0
  6. jax ==0.4.28
  7. jaxlib ==0.4.28
  8. numpyro ==0.18.0
  9. joblib
  10. torch
  11. torchvision
  12. torchaudio
  13. learn2learn
  14. qpth >=0.0.18

Compatibility and release files

poromat publishes 1 wheel and 1 source archive for version 0.1.2. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

PyPI does not currently declare: license, project URL. 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 .

The project does not publish external project URLs in its PyPI metadata.