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January

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0.5 January-0.5-py3-none-any.whl

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Project: January
Version: 0.5
Filename: January-0.5-py3-none-any.whl
Download: [link]
Size: 19488
MD5: 83f095418379f5a6d126bbbdafdb450d
SHA256: b3f24806377b9533bf14e0124c8c3945081c8263f8933ad82477db40fd773632
Uploaded: 2022-01-09 16:38:28 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: January
Version: 0.5
Summary: a design of experiments platform based on an active learning method with artificial neural networks
Author: Jiacheng Huang
Author-Email: chonpcaacpnohc[at]gmail.com
Home-Page: https://github.com/Acpnohc/January
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Requires-Dist: torch (>=1.2.0)
Requires-Dist: numpy (>=1.15.0)
Requires-Dist: scikit-opt (==0.6.5)
Requires-Dist: scikit-learn (>=0.24.0)
Requires-Dist: matplotlib (>=3.3.3)
Requires-Dist: pandas (>=1.0.0)
Description-Content-Type: text/markdown
[Description omitted; length: 112 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.36.2)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
January/January.py sha256=CJdyfCK6OLs6VyQtwS6hYzZNOdkLUP96aJaKk2hV4a8 59179
January/__init__.py sha256=fjSKx6UgRIH8sr6CJD3so5l8GbYLD6OPLX0-8q3I9Rg 22
January-0.5.dist-info/LICENSE sha256=OXLcl0T2SZ8Pmy2_dmlvKuetivmyPd5m1q-Gyd-zaYY 35149
January-0.5.dist-info/METADATA sha256=lTopU_4ZgRhACQJaYjPWL8w-i-sBHU0tB9Plp7Ok0aw 883
January-0.5.dist-info/WHEEL sha256=OqRkF0eY5GHssMorFjlbTIq072vpHpF60fIQA6lS9xA 92
January-0.5.dist-info/top_level.txt sha256=rUU0qCmGOw6pLBN3cx3-9NQqkPZpXGqadqE9VPRiZIQ 8
January-0.5.dist-info/RECORD — —

top_level.txt

January