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TFRE

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0.0.0.1 TFRE-0.0.0.1-cp310-cp310-macosx_11_0_arm64.whl

Wheel Details

Project: TFRE
Version: 0.0.0.1
Filename: TFRE-0.0.0.1-cp310-cp310-macosx_11_0_arm64.whl
Download: [link]
Size: 68720
MD5: 8a70346cf1a6921fb0af6c8c64fd1014
SHA256: 3f7a2b24e662e9ccffec18aed8d67f7ed05cf1a500e2bec0348b465e0f9d3238
Uploaded: 2024-02-20 23:06:50 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: TFRE
Version: 0.0.0.1
Summary: A Tuning-Free Robust and Efficient Approach to High-dimensional Regression
Author: Yunan Wu, Lan Wang
Author-Email: yunan.wu[at]utdallas.edu, lanwang[at]mbs.miami.edu
Maintainer: Yunan Wu
Maintainer-Email: yunan.wu[at]utdallas.edu
Home-Page: https://github.com/yunanwu123/TFRE_python
License: MIT license
Keywords: TFRE,high dimensional analysis
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10
Requires-Dist: pybind11 (>=2.2)
Requires-Dist: numpy (>=1.10)
Requires-Dist: matplotlib
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 2649 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.42.0)
Root-Is-Purelib: false
Tag: cp310-cp310-macosx_11_0_arm64

RECORD

Path Digest Size
TFRE/QICD.cpython-310-darwin.so sha256=XWKBiyJWvc_WNCq-lkDSJMrwTp9c_PIdjaSmDR-8U-4 179560
TFRE/TFRE.py sha256=MVsImu2mR8TaqYzF37EDDxfsmGwLuN3HofA8DQbfdxA 24817
TFRE/__init__.py sha256=Us_rKBQ6EjvgOQ7uUdREnxqubz4FQTWrYfDQjhRyKKw 23
TFRE-0.0.0.1.dist-info/LICENSE sha256=uzCG618Ad_Ow0-cB3UnQ0MfAwJKaUdLbLThbpZ0_nT0 1065
TFRE-0.0.0.1.dist-info/METADATA sha256=GffBwkL6MXzzgDa0PzfmAd463VeaGMKGBwGqXRmgeRA 3449
TFRE-0.0.0.1.dist-info/WHEEL sha256=YryPFYalc7zt-wi82wLNxE5k4S4dtsQOnz0S1sKWvLs 110
TFRE-0.0.0.1.dist-info/top_level.txt sha256=6eib4wmC_IkrQFRWRA1Y5igMxqcjl92JWR8PoFLMMvs 5
TFRE-0.0.0.1.dist-info/RECORD — —

top_level.txt

TFRE