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deep-svdd

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1.3	deep_svdd-1.3-py3-none-any.whl

Wheel Details

Project:	deep-svdd
Version:	1.3
Filename:	deep_svdd-1.3-py3-none-any.whl
Download:	[link]
Size:	5156
MD5:	`a5de4045e5094c886cd036fe6aeca9db`
SHA256:	`4aa67b05511cfc1d9dd60a0a666346907c7f704628081a3b5c49fd44f965624f`
Uploaded:	2019-10-18 09:16:45 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version:	2.1
Name:	deep-svdd
Version:	1.3
Summary:	Tensorflow implementation of Deep SVDD
Author:	Jihun Yi
Author-Email:	t080205[at]gmail.com
Home-Page:	https://github.com/nuclearboy95/Deep-SVDD-Tensorflow
License:	MIT
Requires-Dist:	numpy
Requires-Dist:	scikit-learn
Requires-Dist:	tensorflow-gpu (>=1.12.0)
Requires-Dist:	matplotlib
Requires-Dist:	tqdm

[Description omitted; length: 917 characters]

WHEEL

Wheel-Version:	1.0
Generator:	bdist_wheel (0.33.4)
Root-Is-Purelib:	true
Tag:	py3-none-any

RECORD

Path	Digest	Size
dsvdd/__init__.py	sha256=7BzoKDmrAD2yqy-uyTtRfXc1_k-XreRyfVjXd30XWsI	79
dsvdd/datasets.py	sha256=_6O3Qic59wwu1fvlUbWz8QwoQPPtAb41bwf88O2dvaw	957
dsvdd/deepSVDD.py	sha256=Kud6EruFtFpeHcPPp5-7ouQjtANzt4VLC1Rp-3SNPaY	4185
dsvdd/networks.py	sha256=m14rMmKlelzPnr9SmtFxuGG5a8xpf06sKrusb3oauuw	1606
dsvdd/utils.py	sha256=RLW_FTE33k_9riguZWwtjb86dg57fEtUciNjfMhRs_E	2232
deep_svdd-1.3.dist-info/METADATA	sha256=pr240pJryjtpIbIAGqOpjpjJk95xKK25G-zL_zxS3J8	1301
deep_svdd-1.3.dist-info/WHEEL	sha256=S8S5VL-stOTSZDYxHyf0KP7eds0J72qrK0Evu3TfyAY	92
deep_svdd-1.3.dist-info/top_level.txt	sha256=EMMfCJAKWL77Fr4i4N0sWIcsUChqrLWb1I7UX9FcB-Q	6
deep_svdd-1.3.dist-info/RECORD	—	—

top_level.txt

dsvdd