Factual package intelligence from PyPI

optima-ml 0.4.0a6 package intelligence

Distributed hyperparameter optimization and input variable selection for artificial neural networks.

pip install optima-ml

Current version
0.4.0a6
Python requirement
>=3.9.0
License
GPL-3.0-only
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
513.5 KiB
Release history
22 releases with files
Median release cadence
6 days

optima-ml dependencies

PyPI declares 18 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. dill
  2. matplotlib
  3. multiprocess when sys_platform == "darwin"
  4. numpy <2
  5. optuna ==3.6.*
  6. pandas <3
  7. pyarrow <21
  8. ray ==2.11.*
  9. scikit-learn
  10. scipy
  11. seaborn
  12. tabulate

The compact report shows 12 of 18 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

optima-ml publishes 1 wheel and 1 source archive for version 0.4.0a6. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.9.

Security snapshot for optima-ml 0.4.0a6

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 22 releases with files. The first dated release is ; 6 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .