Factual package intelligence from PyPI

azureml-evaluate-mlflow 0.0.91 package intelligence

Contains the integration code of AzureML Evaluate with Mlflow.

pip install azureml-evaluate-mlflow

Current version
0.0.91
Python requirement
<4.0,>=3.8
License
Proprietary https://aka.ms/azureml-preview-sdk-license
Distribution type
Pure Python wheel
Release files
1 (1 wheels, 0 source)
Download size
211.6 KiB
Release history
95 releases with files
Median release cadence
8 days

azureml-evaluate-mlflow dependencies

PyPI declares 21 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. jsonpickle
  2. mlflow >=2.12.2
  3. mlflow-skinny >=2.12.2
  4. azureml-core >=1.43.0
  5. azureml-mlflow >=1.47.0
  6. azureml-metrics
  7. scikit-learn >=0.24.0
  8. cryptography
  9. python-dateutil <3.0.0,>=2.7.3
  10. datasets >=2.11.0
  11. soundfile >=0.12.1
  12. librosa
  13. diffusers >=0.15.0
  14. sentencepiece
  15. transformers >=4.42.0
  16. torch >=1.9.0
  17. accelerate >=0.19.0
  18. Pillow >=10.0.1

The compact report shows 18 of 21 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

azureml-evaluate-mlflow publishes 1 wheel and 0 source archives for version 0.0.91. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.6, 3.7, 3.8, 3.9.

Metadata completeness

PyPI does not currently declare: project URL. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 95 releases with files. The first dated release is ; 17 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

1 historical release is fully yanked in PyPI metadata.

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