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0.1 graphembedding-0.1-py3-none-any.whl

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Project: graphembedding
Version: 0.1
Filename: graphembedding-0.1-py3-none-any.whl
Download: [link]
Size: 9850
MD5: 35eb04e44872d6652510f50463c287d1
SHA256: eccb93fdb93852b432a3b3942155916d2dbe76f5642db68c1d4f6f4e5f340d72
Uploaded: 2020-08-29 08:20:22 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: graphembedding
Version: 0.1
Summary: Python Graph Embedding Library for Knowledge graph
Author: craftsangjae
Author-Email: craftsangjae[at]gmail.com
Home-Page: https://github.com/vienna-project/graphembedding
License: MIT
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3
Requires-Dist: pandas
Requires-Dist: tqdm
Requires-Dist: numpy
Requires-Dist: scikit-learn
Requires-Dist: tensorflow (>=2.2.0)
Description-Content-Type: text/markdown
[Description omitted; length: 1005 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.35.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
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graphembedding/dataset.py sha256=9xbSLFqpylWDFcm7Wiv7W2dYmOo3qm6g2q8hvecAQv4 5229
graphembedding/embedding.py sha256=d_PsxyqRKV0nKk2PGu9EkFqdsZBiBsI28K9qth0ovN8 5142
graphembedding/layers.py sha256=c7HQ0coTtWaY3AeUBYXBzN0t2y8Yw4e_2i2ohbzRlJI 2852
graphembedding/models.py sha256=WbiI0h4DrDc-62hgk52VKO9AG_vVrW2jtZ_ANFrLj0o 3521
graphembedding/playground/__init__.py sha256=-qa9ikVws_-BXallX8EjRSHQ8yPFKIZavbDULwhord0 128
graphembedding/playground/github.py sha256=V8R-HjTzuEuN8uidA4478obvtc77m9el5vGykN9_WHU 2159
graphembedding-0.1.dist-info/LICENSE sha256=1wlgjFR1juyhTXFaJvMmStLiP6IhqVCg1MAkihc_t38 1071
graphembedding-0.1.dist-info/METADATA sha256=13MMurzpaYGchzujXL_AoFBXj_x-cU2m_zXkstCpy5Y 1507
graphembedding-0.1.dist-info/WHEEL sha256=EVRjI69F5qVjm_YgqcTXPnTAv3BfSUr0WVAHuSP3Xoo 92
graphembedding-0.1.dist-info/top_level.txt sha256=OUSe2Jz9dN_RsvNNJiBAfn5f4R_1J1-DjENMAxre7YA 15
graphembedding-0.1.dist-info/RECORD — —

top_level.txt

graphembedding