Factual package intelligence from PyPI

h2ml 0.3.0 package intelligence

4-step AutoML pipeline for tabular data: model screening, SHAP feature selection, and Optuna HPO

pip install h2ml

Current version
0.3.0
Python requirement
>=3.11
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
538.4 KiB
Release history
4 releases with files
Median release cadence
17 days

h2ml dependencies

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

  1. h2mare >=0.1.1
  2. joblib >=1.5.3
  3. loguru >=0.7.3
  4. matplotlib >=3.10.8
  5. numpy >=2.0.0
  6. optuna >=4.7.0
  7. pandas >=3.0.1
  8. polars >=1.38.1
  9. pyarrow >=23.0.1
  10. scikit-learn >=1.5.0
  11. scipy >=1.13.0
  12. seaborn >=0.13.2

The compact report shows 12 of 21 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

h2ml publishes 1 wheel and 1 source archive for version 0.3.0. Wheel platform tags: any.

Declared Python classifiers: 3.11, 3.12, 3.13.

Security snapshot for h2ml 0.3.0

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 4 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 .