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datascope

0.0.6	datascope-0.0.6-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
	datascope-0.0.6-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
	datascope-0.0.6-cp39-cp39-win_amd64.whl
	datascope-0.0.6-cp39-cp39-win32.whl
	datascope-0.0.6-cp39-cp39-macosx_10_9_x86_64.whl
	datascope-0.0.6-cp39-cp39-musllinux_1_1_x86_64.whl
	datascope-0.0.6-cp39-cp39-musllinux_1_1_i686.whl
	datascope-0.0.6-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
	datascope-0.0.6-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
	datascope-0.0.6-cp38-cp38-win_amd64.whl
	datascope-0.0.6-cp38-cp38-win32.whl
	datascope-0.0.6-cp38-cp38-macosx_10_9_x86_64.whl
	datascope-0.0.6-cp38-cp38-musllinux_1_1_x86_64.whl
	datascope-0.0.6-cp38-cp38-musllinux_1_1_i686.whl
	datascope-0.0.6-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
	datascope-0.0.6-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
	datascope-0.0.6-cp37-cp37m-win_amd64.whl
	datascope-0.0.6-cp37-cp37m-win32.whl
	datascope-0.0.6-cp37-cp37m-macosx_10_9_x86_64.whl
	datascope-0.0.6-cp37-cp37m-musllinux_1_1_x86_64.whl
	datascope-0.0.6-cp37-cp37m-musllinux_1_1_i686.whl
	datascope-0.0.6-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
	datascope-0.0.6-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
	datascope-0.0.6-cp311-cp311-win_amd64.whl
	datascope-0.0.6-cp311-cp311-win32.whl
	datascope-0.0.6-cp311-cp311-macosx_10_9_x86_64.whl
	datascope-0.0.6-cp311-cp311-musllinux_1_1_x86_64.whl
	datascope-0.0.6-cp311-cp311-musllinux_1_1_i686.whl
	datascope-0.0.6-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
	datascope-0.0.6-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
	datascope-0.0.6-cp310-cp310-win_amd64.whl
	datascope-0.0.6-cp310-cp310-win32.whl
	datascope-0.0.6-cp310-cp310-macosx_10_9_x86_64.whl
	datascope-0.0.6-cp310-cp310-musllinux_1_1_x86_64.whl
	datascope-0.0.6-cp310-cp310-musllinux_1_1_i686.whl

Wheel Details

Project:	datascope
Version:	0.0.6
Filename:	datascope-0.0.6-cp38-cp38-win32.whl
Download:	[link]
Size:	42199
MD5:	`ba84c8d1c87bf35320793da01ecc2379`
SHA256:	`0c511c4130c098a976ba485f40f45f6c94e3b802e5c3067ed96b49574762aa27`
Uploaded:	2022-12-26 23:19:34 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version:	2.1
Name:	datascope
Version:	0.0.6
Summary:	Measuring data importance over ML pipelines using the Shapley value.
Author-Email:	easeml[at]ds3lab.com
Home-Page:	https://ease.ml/datascope/
License:	MIT
Requires-Dist:	numpy (>=1.21)
Requires-Dist:	scikit-learn (>=1.0)
Requires-Dist:	scipy (>=1.7)
Requires-Dist:	pandas (>=1.3)
Requires-Dist:	matplotlib (>=3.5)
Requires-Dist:	PyYAML (>=6.0)
Requires-Dist:	tqdm (>=4.62)
Requires-Dist:	setuptools
Requires-Dist:	zerorpc (>=0.6.3)
Requires-Dist:	types-PyYAML (>=6.0); extra == "complete"
Requires-Dist:	twine (>=4.0); extra == "complete"
Requires-Dist:	build (>=0.9); extra == "complete"
Requires-Dist:	pytest (>=6.2); extra == "complete"
Requires-Dist:	cython (>=0.29); extra == "complete"
Requires-Dist:	pytest-benchmark (>=3.4); extra == "complete"
Requires-Dist:	jupyterlab (>=3.3); extra == "complete"
Requires-Dist:	flake8 (>=4.0); extra == "complete"
Requires-Dist:	numpy (>=1.21); extra == "complete"
Requires-Dist:	wheel; extra == "complete"
Requires-Dist:	pytest-cov (>=3.0); extra == "complete"
Requires-Dist:	black; extra == "complete"
Requires-Dist:	mypy (>=0.9); extra == "complete"
Requires-Dist:	mypy (>=0.9); extra == "dev"
Requires-Dist:	flake8 (>=4.0); extra == "dev"
Requires-Dist:	pytest (>=6.2); extra == "dev"
Requires-Dist:	pytest-benchmark (>=3.4); extra == "dev"
Requires-Dist:	pytest-cov (>=3.0); extra == "dev"
Requires-Dist:	black; extra == "dev"
Requires-Dist:	types-PyYAML (>=6.0); extra == "dev"
Requires-Dist:	cython (>=0.29); extra == "dev"
Requires-Dist:	jupyterlab (>=3.3); extra == "dev"
Requires-Dist:	twine (>=4.0); extra == "dev"
Requires-Dist:	build (>=0.9); extra == "dev"
Requires-Dist:	numpy (>=1.21); extra == "dev"
Requires-Dist:	wheel; extra == "dev"
Provides-Extra:	complete
Provides-Extra:	dev
Description-Content-Type:	text/markdown
License-File:	LICENSE

[Description omitted; length: 4484 characters]

WHEEL

Wheel-Version:	1.0
Generator:	bdist_wheel (0.38.4)
Root-Is-Purelib:	false
Tag:	cp38-cp38-win32

RECORD

Path	Digest	Size
datascope/debugger/__init__.py	sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU	0
datascope/debugger/debugger.py	sha256=F7iRdzpAe7Crf08KQXwC4F7gUckll-ENAmEunOCvCxQ	1074
datascope/importance/__init__.py	sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU	0
datascope/importance/add.py	sha256=E2oJm7j-o6_ACbSrW7RctBFxOVJG9m3_ncM_kL6UeH8	17573
datascope/importance/common.py	sha256=D4PGYgd_qfFdGtOSpYetprBsnFCr96uZeDXxpUdk7vo	20571
datascope/importance/importance.py	sha256=6TYqtymPGV_HxOgJ2no8UVLogHubuU4R8A2shKeUGug	1432
datascope/importance/shapley.py	sha256=30NqWI3yqftE5MZ47ZJlxja28ORy7vtYYfh99OQ61pg	21833
datascope/importance/shapley_cy.cp38-win32.pyd	sha256=e6xK1Wl4SJ7jLPtobr3LPDFmRGOHpx7SplOpoRbUBEQ	46080
datascope-0.0.6.dist-info/LICENSE	sha256=faP_MaYRy9U0PwdndogT4WReD_xD7tTXqQPMEYpPT6g	1085
datascope-0.0.6.dist-info/METADATA	sha256=Uwe48HguTdUy7ntxEChR9InviAsHhdjK057Cv4J1Kw0	6502
datascope-0.0.6.dist-info/WHEEL	sha256=Q7KGyTRxVwi3WXoWZ0tr1_wclwXGEbxf3IXLj3MR-7U	96
datascope-0.0.6.dist-info/top_level.txt	sha256=YWOATHhag6zQXU8mlF_mmH4vActQn2bOywAWbqJMsH4	10
datascope-0.0.6.dist-info/RECORD	—	—

top_level.txt

datascope