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causal-attribution

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1.1	causal_attribution-1.1-py3-none-any.whl

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Project:	causal-attribution
Version:	1.1
Filename:	causal_attribution-1.1-py3-none-any.whl
Download:	[link]
Size:	10997
MD5:	`32a5c8f7e277d4be22170fa065a44b01`
SHA256:	`faa55d9eddca5017524de9116dc5693489866cda80c9478bb4e8a96538867c9f`
Uploaded:	2020-02-20 18:57:15 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version:	2.1
Name:	causal-attribution
Version:	1.1
Summary:	Select and score features for causal inferences.
Author:	Reid Pryzant
Author-Email:	rpryzant[at]stanford.edu
Home-Page:	https://github.com/rpryzant/causal_attribution
Keywords:	feature selection
Classifier:	Programming Language :: Python :: 3
Classifier:	License :: OSI Approved :: MIT License
Classifier:	Operating System :: OS Independent
Requires-Python:	>=3.6
Requires-Dist:	scipy
Requires-Dist:	sklearn
Requires-Dist:	nltk
Requires-Dist:	pandas
Requires-Dist:	torch (>=1.0.0)

[Description omitted; length: 468 characters]

WHEEL

Wheel-Version:	1.0
Generator:	bdist_wheel (0.34.2)
Root-Is-Purelib:	true
Tag:	py3-none-any

RECORD

Path	Digest	Size
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causal_attribution/data.py	sha256=vbOph7JNkWByTG9qbcslYQGU-lMHldlZt3CxG_29eaM	4602
causal_attribution/models.py	sha256=bCrZbfpsZJX10cwi-0QqPKKgxrKapeBbpOf4Dia_Kbc	12640
causal_attribution/utils.py	sha256=cIWgxSlNo1--I7EEJBbW6_Tzjv1yJn00vyA7AbSTnJQ	2341
causal_attribution-1.1.dist-info/LICENSE	sha256=IPU3TeUErbaGUTbnEDW-W-mJ9f-iokdxbFGcnZd6Ymg	1069
causal_attribution-1.1.dist-info/METADATA	sha256=vP9932gkkPrFtRHPSHVFy0xSD-9OPUOGWl0sIeaGd3I	1051
causal_attribution-1.1.dist-info/WHEEL	sha256=g4nMs7d-Xl9-xC9XovUrsDHGXt-FT0E17Yqo92DEfvY	92
causal_attribution-1.1.dist-info/top_level.txt	sha256=Mb0CkKCS2Q1Z_GsEMVi0N9nvCgNEZI7ckECRIkQaXXU	19
causal_attribution-1.1.dist-info/RECORD	—	—

top_level.txt

causal_attribution