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quantes

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2.0.6

quantes-2.0.6-py3-none-any.whl

Wheel Details

Project:	quantes
Version:	2.0.6
Filename:	quantes-2.0.6-py3-none-any.whl
Download:	[link]
Size:	55102
MD5:	`0a81bc4aab858d306e7b9adf0262209e`
SHA256:	`93b9dd1b06debb608baf833c0e59e5ac1b3842292a20d516f982ac1ba75f4132`
Uploaded:	2024-04-02 03:20:38 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version:	2.1
Name:	quantes
Version:	2.0.6
Summary:	Convolution Smoothed Quantile and Expected Shortfall Regression
Author:	Wenxin Zhou
Author-Email:	wenxinz[at]uic.edu
Home-Page:	https://github.com/WenxinZhou/conquer
Classifier:	Programming Language :: Python :: 3
Classifier:	License :: OSI Approved :: MIT License
Classifier:	Operating System :: OS Independent
Requires-Dist:	numpy
Requires-Dist:	scipy
Requires-Dist:	scikit-learn
Requires-Dist:	qpsolvers
Requires-Dist:	cvxopt
Requires-Dist:	torch
Requires-Dist:	matplotlib
Description-Content-Type:	text/markdown
License-File:	LICENSE

[Description omitted; length: 14557 characters]

WHEEL

Wheel-Version:	1.0
Generator:	bdist_wheel (0.37.1)
Root-Is-Purelib:	true
Tag:	py3-none-any

RECORD

Path	Digest	Size
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quantes/joint.py	sha256=eTW_vJijEvnrqXXYt0cReGRuaq2voGKDtsrBCpH09aU	49720
quantes/linear.py	sha256=Fgb6iMsA9PiTeJZhMLTyzkpNl51RAaQaQLNBnHYAToQ	103370
quantes/nonlinear.py	sha256=HeM8wqvA7NIvofjUJaBWYVUJoLw88Cgluu1vDk-8qxc	32434
quantes-2.0.6.dist-info/LICENSE	sha256=OXLcl0T2SZ8Pmy2_dmlvKuetivmyPd5m1q-Gyd-zaYY	35149
quantes-2.0.6.dist-info/METADATA	sha256=uo5-Cxo0CXn-RnEm1u0f3RJUM8_j_OiYBqquLlK_8Gc	15190
quantes-2.0.6.dist-info/WHEEL	sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA	92
quantes-2.0.6.dist-info/top_level.txt	sha256=l8j26_-mm4WMvN8iH_k5ZUlFhpQ8duC-yAppLyEwmCg	8
quantes-2.0.6.dist-info/RECORD	—	—

top_level.txt

quantes