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APGD

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0.1 APGD-0.1-py3-none-any.whl

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Project: APGD
Version: 0.1
Filename: APGD-0.1-py3-none-any.whl
Download: [link]
Size: 11269
MD5: f99f17ed5fb29e9b2638cf4a07f90383
SHA256: 3a66cebb137a20fc059cba8a59734fdb2d7e79664a797fe620e9ef5b0d394068
Uploaded: 2021-12-11 03:53:34 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: APGD
Version: 0.1
Summary: Accelerated Proximal Gradient Descent (APGD) algorithm to solve the penalized regression models
Author: Ling Zhang
Author-Email: lingzhan[at]mtu.edu
Home-Page: https://github.com/tobefuture/APGD
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: pandas
Requires-Dist: cvxpy
Requires-Dist: networkx
Requires-Dist: sklearn
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 813 characters]

WHEEL

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

RECORD

Path Digest Size
APGD/APGD.py sha256=cx519AEP2imeVvyR_RYE97cEjXmtAAdQTfLK40_oWXc 72184
APGD/__init__.py sha256=5mxTvNqv2Yum5b1foAllOBdpvj-PB0chOkDp5ARIgoA 290
APGD-0.1.dist-info/LICENSE sha256=N5SZG59cb6QGwLFJRFM3B0JMYhmWYDJrs90NQ3QF9BA 1067
APGD-0.1.dist-info/METADATA sha256=k4rE-FgUsc6yZtItGhdGM7oY2agi41K68bRmbS62WzU 1438
APGD-0.1.dist-info/WHEEL sha256=OqRkF0eY5GHssMorFjlbTIq072vpHpF60fIQA6lS9xA 92
APGD-0.1.dist-info/top_level.txt sha256=uW0uvA8qBSi0RRFY5DX6-VKm5bxulNJyMUd4d-XZi0g 5
APGD-0.1.dist-info/RECORD — —

top_level.txt

APGD