Factual package intelligence from PyPI

model-metrics 0.0.6a2 package intelligence

A Python library for model evaluation, performance tracking, and metric visualizations, supporting classification and regression models with robust analytics and reporting.

pip install model-metrics

Current version
0.0.6a2
Python requirement
>=3.8
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
178.8 KiB
Release history
28 releases with files
Median release cadence
4 days

model-metrics dependencies

PyPI declares 10 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. matplotlib <3.11,>=3.5.3
  2. matplotlib-venn <=1.1.2,>=1.0.0
  3. numpy <2.2,>=1.21.6
  4. pandas <2.3,>=1.3.5
  5. plotly <5.25,>=5.18.0
  6. scikit-learn >=1.0.2
  7. scipy >=1.7.3
  8. statsmodels <0.15,>=0.13
  9. shap <0.52,>=0.41.0
  10. tqdm >=4.66.4

Compatibility and release files

model-metrics publishes 1 wheel and 1 source archive for version 0.0.6a2. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Security snapshot for model-metrics 0.0.6a2

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 28 releases with files. The first dated release is ; 24 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .