Factual package intelligence from PyPI

iOpt 0.5.0 package intelligence

Framework for automatically tuning hyperparameter values for mathematical models, AI and ML.

pip install iopt

Current version
0.5.0
Python requirement
>=3.9
License
BSD License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
770.5 KiB
Release history
8 releases with files
Median release cadence
101 days

iOpt dependencies

PyPI declares 17 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy <2.0,>=1.19
  2. depq
  3. cycler
  4. kiwisolver
  5. matplotlib >=3.3.2
  6. scikit-learn
  7. sphinx-rtd-theme
  8. readthedocs-sphinx-search
  9. sphinxcontrib-details-directive
  10. autodocsumm
  11. pathos
  12. multiprocess
  13. dash
  14. dash-bootstrap-components
  15. plotly
  16. pandas
  17. scipy

Compatibility and release files

iOpt publishes 1 wheel and 1 source archive for version 0.5.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 8 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .