Factual package intelligence from PyPI

tencent-wedata3-auto-ml 0.1.23 package intelligence

AutoML SDK for Tencent Cloud WeData using FLAML with MLflow integration.

pip install tencent-wedata3-auto-ml

Current version
0.1.23
Python requirement
>=3.9
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
207.7 KiB
Release history
32 releases with files
Median release cadence
0 days

tencent-wedata3-auto-ml dependencies

PyPI declares 25 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. flaml ==2.3.6
  2. lightgbm >=4.0.0
  3. xgboost >=2.0.0
  4. prophet >=1.1
  5. statsmodels >=0.13
  6. holidays >=0.25
  7. catboost >=1.0.0
  8. scikit-learn <1.7,>=1.5
  9. numpy <3.0,>=1.24
  10. matplotlib >=3.5
  11. seaborn >=0.11
  12. mlflow <3.11.0,>=3.10.0

The compact report shows 12 of 25 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

tencent-wedata3-auto-ml publishes 1 wheel and 1 source archive for version 0.1.23. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.9.

Security snapshot for tencent-wedata3-auto-ml 0.1.23

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 32 releases with files. The first dated release is ; 32 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

3 historical releases are fully yanked in PyPI metadata.