Factual package intelligence from PyPI

surgicalplan 0.1.5 package intelligence

SurgicalPLAN is a Python package for predicting postoperative risks from clinical notes using language models. It provides training and inference workflows for fine-tuned models, semi-supervised metho

pip install surgicalplan

Current version
0.1.5
Python requirement
<3.13,>=3.9
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
169.6 KiB
Release history
6 releases with files
Median release cadence
7 days

surgicalplan dependencies

PyPI declares 16 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. transformers <5,>=4.36
  2. tokenizers >=0.15
  3. huggingface_hub >=0.20
  4. accelerate >=0.25
  5. datasets >=2.14
  6. safetensors >=0.4
  7. torch >=2.0
  8. numpy >=1.23
  9. pandas >=2.0
  10. pyarrow >=14
  11. scikit-learn >=1.3
  12. tqdm >=4.66

Compatibility and release files

surgicalplan publishes 1 wheel and 1 source archive for version 0.1.5. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.9.

Security snapshot for surgicalplan 0.1.5

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

Release activity and sources

PyPI lists 6 releases with files. The first dated release is ; 6 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .