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tf-sdp

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0.9	tf_sdp-0.9-py2.py3-none-any.whl

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Project:	tf-sdp
Version:	0.9
Filename:	tf_sdp-0.9-py2.py3-none-any.whl
Download:	[link]
Size:	17036
MD5:	`f9bfec9b30672cc9b2a7e688a3d63f19`
SHA256:	`1000271d9512099d097dcc38ba3f654e10fc6d2ed10b2c036d443a033a3bd498`
Uploaded:	2017-02-23 21:05:31 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version:	2.0
Name:	tf-sdp
Version:	0.9
Summary:	Deep Nonparametric Estimation of Discrete Conditional Distributions via Smoothed Dyadic Partitioning
Author:	Wesley Tansey
Author-Email:	wes.tansey[at]gmail.com
Home-Page:	https://github.com/tansey/sdp
License:	LGPL
Keywords:	statistics machinelearning tensorflow deeplearning smoothing
Classifier:	Development Status :: 3 - Alpha
Classifier:	Intended Audience :: Science/Research
Classifier:	Topic :: Scientific/Engineering
Classifier:	License :: OSI Approved :: GNU Lesser General Public License v3 or later (LGPLv3+)
Classifier:	Programming Language :: Python :: 2
Classifier:	Programming Language :: Python :: 2.7
Requires-Dist:	numpy
Requires-Dist:	scipy
Requires-Dist:	tensorflow

[Description omitted; length: 929 characters]

WHEEL

Wheel-Version:	1.0
Generator:	bdist_wheel (0.29.0)
Root-Is-Purelib:	true
Tag:	py2-none-any
Tag:	py3-none-any

RECORD

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tf_sdp-0.9.dist-info/METADATA	sha256=fVKYKaXucv2DHSpEsCMK9UuarI0T1cy5wsoaWQa6hqs	1688
tf_sdp-0.9.dist-info/RECORD	—	—
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tfsdp/datasets.py	sha256=l95dmnF9NgjEftPkrv72Zd-kWdWWnqSZ6lassj8XxPQ	3282
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tfsdp/utils.py	sha256=jO-hWhhOeJgo-KcGIpVbbIR_R-VF0ofnPGWb2xWWesc	25610

top_level.txt

tfsdp