Factual package intelligence from PyPI

wsmf 0.0.2 package intelligence

Package with encoder-based approaches to warm-starting Bayesian Hyperparameter Optimization.

pip install wsmf

Current version
0.0.2
Python requirement
>=3.10
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
54.7 KiB
Release history
2 releases with files
Median release cadence
2 days

wsmf dependencies

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

  1. dataset2vec >=1.0.0
  2. openml >=0.14.2
  3. loguru >=0.7.2
  4. optuna >=3.6.1
  5. xgboost >=2.0.3
  6. scikit-learn >=1.4.2
  7. pytest >=8.2.1
  8. pymfe >=0.4.3
  9. seaborn >=0.13.2
  10. tensorboard >=2.17.0
  11. numpy >=1.26.4

Compatibility and release files

wsmf publishes 1 wheel and 1 source archive for version 0.0.2. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 2 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 .