Factual package intelligence from PyPI

L2LforHPC 2.0.0b0 package intelligence

L2L (Learning-to-learn) contains implementations of various gradient free optimization algorithms. It also makes it easy to optimize (hyper-)parameters for any task.

pip install l2lforhpc

Current version
2.0.0b0
Python requirement
>=3.9
License
GPL-3.0-only
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
212.0 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

L2LforHPC dependencies

PyPI declares 11 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy
  2. scipy
  3. pyyaml
  4. sphinx
  5. sphinxjp.themes.basicstrap
  6. sphinx-rtd-theme
  7. jinja2
  8. gitpython
  9. scikit-learn
  10. flake8
  11. deap

Compatibility and release files

L2LforHPC publishes 1 wheel and 1 source archive for version 2.0.0b0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .