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pyLLS

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0.5 pyLLS-0.5-py2.py3-none-any.whl

Wheel Details

Project: pyLLS
Version: 0.5
Filename: pyLLS-0.5-py2.py3-none-any.whl
Download: [link]
Size: 7561
MD5: 27bff8058e09854f5b7697e81d2b693d
SHA256: 7488e820cc33f5deb45cddba8a08b337a561fd45268d46a9413517f38bdcaf13
Uploaded: 2023-09-08 00:58:19 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: pyLLS
Version: 0.5
Summary: Missing value imputation with the local least square algorithm in python
Author: Sejin Oh
Author-Email: Sejin Oh <agicic[at]naver.com>
Maintainer: Sejin Oh
Home-Page: https://github.com/osj118/pyLLS
Project-Url: Homepage, https://github.com/osj118/pyLLS
License: MIT
Keywords: missing value imputation,local least square
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: scikit-learn
Requires-Dist: tqdm
Requires-Dist: kneed
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 4146 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.38.4)
Root-Is-Purelib: true
Tag: py2-none-any
Tag: py3-none-any

RECORD

Path Digest Size
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pyLLS/_imputate.py sha256=FCNJo1-NAPHjklgz7dI6MwlsEj12vYlQWCQG4-2-GEA 12246
pyLLS-0.5.dist-info/LICENSE sha256=b4-99q661WJB90STmXLHcj4Ptbr9VJU5B85JVFX8Zow 1079
pyLLS-0.5.dist-info/METADATA sha256=JLQ2I-Y6qtVFru-QW9ZOv58NYKjmxjXafPNo1hVUIqs 4863
pyLLS-0.5.dist-info/WHEEL sha256=bb2Ot9scclHKMOLDEHY6B2sicWOgugjFKaJsT7vwMQo 110
pyLLS-0.5.dist-info/top_level.txt sha256=2ixg2p0symTuG6sPq8zym874952nnQo3mQxtyJz_1LI 6
pyLLS-0.5.dist-info/RECORD — —

top_level.txt

pyLLS