Factual package intelligence from PyPI

hi-ml 0.5.4 package intelligence

Microsoft Health Futures package containing high level ML components

pip install hi-ml

Current version
0.5.4
Python requirement
Not declared
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
194.5 KiB
Release history
41 releases with files
Median release cadence
14 days

hi-ml dependencies

PyPI declares 12 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. dataclasses-json ==0.5.2
  2. hi-ml-azure >=0.1.8
  3. jinja2 ==3.0.2
  4. matplotlib >=3.4.3
  5. opencv-python-headless >=4.5.1.48
  6. pandas >=1.3.4
  7. pillow ==10.0.1
  8. protobuf <4.0
  9. pytorch-lightning <1.7,>=1.6.0
  10. rpdb >=0.1.6
  11. torchvision >=0.10.0
  12. torch <2.0,>=1.9.0

Compatibility and release files

hi-ml publishes 1 wheel and 1 source archive for version 0.5.4. Wheel platform tags: any.

Declared Python classifiers: 3.9.

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 41 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .