Factual package intelligence from PyPI

phoenix-ml-workflow 1.2.2 package intelligence

An end-to-end physics-enhanced machine learning (PEML) workflow for regression problems in engineering and scientific applications, covering data cleaning, interpretability, uncertainty quantification

pip install phoenix-ml-workflow

Current version
1.2.2
Python requirement
>=3.11
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
1.1 MiB
Release history
8 releases with files
Median release cadence
9 days

phoenix-ml-workflow dependencies

PyPI declares 28 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy <2.5,>=1.26.4
  2. pandas <4,>=2.2.3
  3. scipy <2,>=1.14.1
  4. scikit-learn <2,>=1.5.2
  5. matplotlib >=3.9.2
  6. seaborn >=0.13.2
  7. joblib >=1.4.2
  8. tqdm >=4.66.5
  9. tabulate >=0.9.0
  10. statsmodels >=0.14.4
  11. scikit-optimize >=0.10.2
  12. hyperopt >=0.2.7

The compact report shows 12 of 28 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

phoenix-ml-workflow publishes 1 wheel and 1 source archive for version 1.2.2. Wheel platform tags: any.

Declared Python classifiers: 3.11, 3.12, 3.13.

Security snapshot for phoenix-ml-workflow 1.2.2

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 8 releases with files. The first dated release is ; 8 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .