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0.4	rils-0.4-py3-none-any.whl

Wheel Details

Project:	rils
Version:	0.4
Filename:	rils-0.4-py3-none-any.whl
Download:	[link]
Size:	23076
MD5:	`7f5adc02a9db085f8a5d72881574a34a`
SHA256:	`42e92fdf66a50fed50f8356e60e962df9136b17fd447374ead961755977160bb`
Uploaded:	2023-08-10 21:05:59 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version:	2.1
Name:	rils
Version:	0.4
Summary:	Regression via Iterated Local Search for Symbolic Regression GECCO Competition -- 2023
Author:	Aleksandar Kartelj, Marko Đukanović
Author-Email:	aleksandar.kartelj[at]gmail.com
Home-Page:	https://github.com/kartelj/rils
Classifier:	Programming Language :: Python :: 3
Classifier:	License :: OSI Approved :: MIT License
Classifier:	Operating System :: OS Independent
Requires-Python:	>=3.6
Requires-Dist:	numpy
Requires-Dist:	sympy
Requires-Dist:	scikit-learn
Requires-Dist:	statsmodels
Description-Content-Type:	text/markdown

[Description omitted; length: 1666 characters]

WHEEL

Wheel-Version:	1.0
Generator:	bdist_wheel (0.41.1)
Root-Is-Purelib:	true
Tag:	py3-none-any

RECORD

Path	Digest	Size
rils/__init__.py	sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU	0
rils/node.py	sha256=VQodp8GTFbnB1wiCKeFoPse_rpxZxkyfjeNpaXQAQKU	20194
rils/rils.py	sha256=0-FyXkdjo5QIGohBreZOaz0HUslAlroqXDuMVX32PTU	39671
rils/rils_ensemble.py	sha256=JgY1v_3nNcUCWtVhvmGb5QTlC4QJQ3s2culrMnq7pf0	5977
rils/rils_pipeline.py	sha256=hmjdsSkqgBIa4WH80diPLpJhokPEjrnNFAX9QYxDXjk	2506
rils/simplify_approx.py	sha256=bmZyj9endsmowIDqOpDH04I835N32Gr3zZK7laQQPwg	7612
rils/solution.py	sha256=vGL07j6Tz6TyPx5geRbebRZxhhrTUx2BXfv9S4XK11U	17526
rils/utils.py	sha256=rVIXuXZSCI3aLHF5XvXY3MVl4FB94owzMh7mx1UrBvM	4567
rils-0.4.dist-info/METADATA	sha256=NQDpRPCBwaf9ZoJmTNYjkut8IUkIGQMH_7810um8X8w	2308
rils-0.4.dist-info/WHEEL	sha256=5sUXSg9e4bi7lTLOHcm6QEYwO5TIF1TNbTSVFVjcJcc	92
rils-0.4.dist-info/top_level.txt	sha256=AukG1V6om_KGH2pSrjPrwXc44vRmdPF1OoUqKZAAD-Q	5
rils-0.4.dist-info/RECORD	—	—

top_level.txt

rils