Wheelodex » Projects » sparse-lm

sparse-lm

View on PyPI — Reverse Dependencies (1)

0.2.0 sparse_lm-0.2.0-py3-none-any.whl

Wheel Details

Project: sparse-lm
Version: 0.2.0
Filename: sparse_lm-0.2.0-py3-none-any.whl
Download: [link]
Size: 29709
MD5: 5635e2cc4977e4faa38a1cb72fffcb55
SHA256: 4baea51d8f33ae67ea7d92eb081fa8f1317b03588ae132301d89605a9b716410
Uploaded: 2022-08-31 03:33:41 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: sparse-lm
Version: 0.2.0
Summary: Sparse linear regression models
Author-Email: Luis Barroso-Luque <lbluque[at]berkeley.edu>
License: BSD 3-Clause License
Classifier: Development Status :: 3 - Alpha
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Dist: numpy
Requires-Dist: cvxpy
Requires-Dist: scikit-learn
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 2167 characters]

WHEEL

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

RECORD

Path Digest Size
sparselm/__init__.py sha256=uk2AVbmwZWXLa-MyHzm6OS38FiS-z5N1B0RnFHR_nO8 257
sparselm/optimizer.py sha256=8WPxk9myUhIvPszQLyNnQ3mq3aHoG8VRbS1icw93eHM 31871
sparselm/tools.py sha256=8DXHCpLLe4wAYktPygzmig7sNKDgw_gE4o6rOsB85CQ 4170
sparselm/model/__init__.py sha256=xLpcu0dHuQlteLZUMHAf5_xRcOjVaT3ovH7dPJgkRcE 1143
sparselm/model/_adaptive_lasso.py sha256=wtj5FrbW1Xm-zwcAeT7Oy6daZRJvVDvalA1nK9Alb28 22770
sparselm/model/_base.py sha256=64R5tlw5JAjWSHHw2MlHbHc_ipTgCzoEbClVWft9KRg 7139
sparselm/model/_lasso.py sha256=3Bm7PMKVO6kEJDokiA_1EGgYWV3Bbyg6ukuM6UqWnjk 19832
sparselm/model/_ols.py sha256=h4CbSo7xJw2aJk2f9vXnYcaeT0CRRRfprlOxkrH1cSA 363
sparselm/model/miqp/__init__.py sha256=TR6rbaTuQmoeMbTS93yQhqpq2FHTmnmcwhOS9IO_MdE 538
sparselm/model/miqp/_best_subset.py sha256=zRhke3VV9fsxFb3J3rKLWY83Fa9QOArW_WMbOEASPNc 15468
sparselm/model/miqp/_regularized_l0.py sha256=QukM1KUkhmyYMyZyldswUGjvNumE4kcw8ZEEnTkdGzI 21496
sparse_lm-0.2.0.dist-info/LICENSE sha256=C6mimx1H5lFSojk9u9wNZHgK7ph9DiTpy0S5LnwM5Xc 2501
sparse_lm-0.2.0.dist-info/METADATA sha256=a6aN7I2rzaSTH-5_oV9EDnqEu_-spcN3QbRXxSLQnwQ 3079
sparse_lm-0.2.0.dist-info/WHEEL sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA 92
sparse_lm-0.2.0.dist-info/top_level.txt sha256=LocRzsJSFRTi72GsMJasswqIsfRnWmdsIm_IwVrGrn8 9
sparse_lm-0.2.0.dist-info/RECORD — —

top_level.txt

sparselm