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synthimpute

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0.1	synthimpute-0.1-py3-none-any.whl

Wheel Details

Project:	synthimpute
Version:	0.1
Filename:	synthimpute-0.1-py3-none-any.whl
Download:	[link]
Size:	8823
MD5:	`781ff60b30e39c3067717b9d87d2540b`
SHA256:	`a7b436528f2acce4f46688aee1578c98d771aaad7d2efdd6557c21cc996b52fe`
Uploaded:	2021-09-27 13:53:16 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version:	2.1
Name:	synthimpute
Version:	0.1
Summary:	Python package for data synthesis and imputation using parametric and nonparametric methods, and evaluation of these methods.
Author:	Max Ghenis
Author-Email:	mghenis[at]gmail.com
Home-Page:	http://github.com/PSLmodels/synthimpute
License:	MIT
Requires-Dist:	numpy
Requires-Dist:	pandas
Requires-Dist:	scikit-learn
Requires-Dist:	statsmodels
Requires-Dist:	scipy

[No description]

WHEEL

Wheel-Version:	1.0
Generator:	bdist_wheel (0.36.2)
Root-Is-Purelib:	true
Tag:	py3-none-any

RECORD

Path	Digest	Size
synthimpute/__init__.py	sha256=9O3A8KQs5VtG8XV8awuE37Hst5EQ9ShXJK0PEJwFmUA	75
synthimpute/distance.py	sha256=Z0OjkOmUvkqb5-Y2lM9514GvvJaljLIe4VMUxJkZFwg	10097
synthimpute/rf_impute.py	sha256=M0QIJ1xwPOqpfXx92CiAlwaSTcxyARdb3cbz22NpRco	5244
synthimpute/synthesize.py	sha256=4udBMfBzP7_eaMqH9S22zq7shn_hb1c0DxDFafoFwMg	1973
synthimpute/trees.py	sha256=ng32dsjeHgMfpHbQezA5hJ1hSmAKTVLdTJD6tN8WeJA	1589
synthimpute-0.1.dist-info/LICENSE	sha256=ow72TzrRObOV1xL7cDdJQv6QzZx58veHIDLMeoQWOW4	1067
synthimpute-0.1.dist-info/METADATA	sha256=a_lFMNpCMZiVNvvPLgadSNKI9UGcARrGH62uyr2eI-E	451
synthimpute-0.1.dist-info/WHEEL	sha256=OqRkF0eY5GHssMorFjlbTIq072vpHpF60fIQA6lS9xA	92
synthimpute-0.1.dist-info/top_level.txt	sha256=qKYBW-cyUFV8Cu7hajyu4XV93QzI-IchphPqru0bpBU	12
synthimpute-0.1.dist-info/RECORD	—	—

top_level.txt

synthimpute