Factual package intelligence from PyPI

teneva-opti 0.6.0 package intelligence

Collection of various optimization methods, including tensor based, for multivariate functions and multidimensional data arrays

pip install teneva-opti

Current version
0.6.0
Python requirement
>=3.8
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
42.3 KiB
Release history
22 releases with files
Median release cadence
1 days

teneva-opti dependencies

PyPI declares 16 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. nevergrad ==0.8.0
  2. pandas <=1.5.3
  3. protes ==0.3.6
  4. seaborn ==0.12.2
  5. teneva >=0.14.7
  6. teneva-bm ==0.9.0
  7. ttopt ==0.6.2
  8. contourpy ==1.1.1 when python_version == "3.8"
  9. matplotlib <3.7.1,>=3.7.0 when python_version == "3.8"
  10. ml-dtypes <=0.2.0 when python_version == "3.8"
  11. numpy <1.25,>=1.22 when python_version == "3.8"
  12. scikit-learn <=1.3.2 when python_version == "3.8"
  13. scipy <1.11,>=1.9 when python_version == "3.8"
  14. matplotlib >=3.7.0 when python_version >= "3.9"
  15. ml-dtypes when python_version >= "3.9"
  16. numpy >=1.22 when python_version >= "3.9"

Compatibility and release files

teneva-opti publishes 1 wheel and 1 source archive for version 0.6.0. Wheel platform tags: any.

Declared Python classifiers: 3.8, 3.9.

Release activity and sources

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