minlpe

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1.0.0 minlpe-1.0.0-py3-none-any.whl

Wheel Details

Project: minlpe
Version: 1.0.0
Filename: minlpe-1.0.0-py3-none-any.whl
Download: [link]
Size: 22518
MD5: 36aaf915bfc2bd7ce04cc800ac582eb6
SHA256: 5eec89ea01719c223919053c99167eb772c02fc6be4ffebe6bacfc5e7c7e7370
Uploaded: 2022-05-27 13:34:52 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: minlpe
Version: 1.0.0
Summary: Adaptive sampling based on the minimization of approximation error Lp norm. MaxLpE is a fast adaptive sampling algorithm with accuracy comparable with the best known adaptive sampling methods: TEAD, LIP, MIPT, EIGF, MASA, SFVCT. Its features include sampling time control and parallel (batch) point generation. The norm parameter p regulates sampling, inclining it either towards local exploitation or, conversely, global exploration
Author: Sergey Guda, Alexandr Algasov
Author-Email: gudasergey[at]gmail.com
Maintainer: Sergey Guda
Home-Page: https://github.com/gudasergey/minlpe
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU Lesser General Public License v3 or later (LGPLv3+)
Classifier: Operating System :: OS Independent
Requires-Dist: numpy (>=1.14.3)
Requires-Dist: scikit-learn (>=0.20.0)
Requires-Dist: scipy (>=1.1.0)
Requires-Dist: numba (>=0.38.0)
Requires-Dist: pandas (>=0.23.0)
Description-Content-Type: text/markdown
[Description omitted; length: 1209 characters]

WHEEL

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Tag: py3-none-any

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minlpe-1.0.0.dist-info/RECORD

top_level.txt

minlpe