wsmf

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0.0.2 wsmf-0.0.2-py3-none-any.whl

Wheel Details

Project: wsmf
Version: 0.0.2
Filename: wsmf-0.0.2-py3-none-any.whl
Download: [link]
Size: 15289
MD5: 03eb2f960123a3b884f6e1ebd6cc5c75
SHA256: 58028e13448fe28e30f1f47ed45d52aa77567fc34f0b20c2d3a4ec4a12d27312
Uploaded: 2024-08-05 11:39:06 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: wsmf
Version: 0.0.2
Summary: Package with encoder-based approaches to warm-starting Bayesian Hyperparameter Optimization.
Author-Email: Antoni Zajko <antoni.zajko.1[at]gmail.com>
Project-Url: Homepage, https://github.com/azoz01/wsmf
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10
Requires-Dist: dataset2vec (>=1.0.0)
Requires-Dist: openml (>=0.14.2)
Requires-Dist: loguru (>=0.7.2)
Requires-Dist: optuna (>=3.6.1)
Requires-Dist: xgboost (>=2.0.3)
Requires-Dist: scikit-learn (>=1.4.2)
Requires-Dist: pytest (>=8.2.1)
Requires-Dist: pymfe (>=0.4.3)
Requires-Dist: seaborn (>=0.13.2)
Requires-Dist: tensorboard (>=2.17.0)
Requires-Dist: numpy (>=1.26.4)
Description-Content-Type: text/markdown
[Description omitted; length: 4020 characters]

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top_level.txt

wsmf