Factual package intelligence from PyPI

pd-dwi 1.1.4 package intelligence

Physiologically-Decomposed Diffusion-Weighted MRI machine-learning model for predicting response to neoadjuvant chemotherapy in invasive breast cancer

pip install pd-dwi

Current version
1.1.4
Python requirement
<3.9,>=3.8.1
License
BSD License
Distribution type
Pure Python wheel
Release files
1 (1 wheels, 0 source)
Download size
393.3 KiB
Release history
11 releases with files
Median release cadence
23 days

pd-dwi dependencies

PyPI declares 13 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. Cython <0.30.0,>=0.29.30
  2. jsonschema <5.0.0,>=4.6.0
  3. numpy <2.0.0,>=1.22.0
  4. pyradiomics <4.0.0,>=3.0.1
  5. PyYAML <7.0,>=6.0
  6. scikit-learn <2.0.0,>=1.0.2
  7. xgboost <2.0.0,>=1.6.1
  8. pandas <2.0.0,>=1.4.3
  9. pydantic <3.0.0,>=2.6.4
  10. pydantic-yaml <2.0.0,>=1.2.1
  11. StrEnum <0.5.0,>=0.4.15 when python_version < "3.11"
  12. click <9.0.0,>=8.1.7

Compatibility and release files

pd-dwi publishes 1 wheel and 0 source archives for version 1.1.4. Wheel platform tags: any.

Declared Python classifiers: 3.8.

Release activity and sources

PyPI lists 11 releases with files. The first dated release is ; 10 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .