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dglke

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0.1.2 dglke-0.1.2-py3-none-any.whl

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Project: dglke
Version: 0.1.2
Filename: dglke-0.1.2-py3-none-any.whl
Download: [link]
Size: 78717
MD5: 761664d19347477b4234914ca215fd80
SHA256: 54ec8f8849083393f4d741ba00ad40957966d6f8f2a38c2e10d18c6be55c8e50
Uploaded: 2021-01-25 22:41:37 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: dglke
Version: 0.1.2
Summary: A distributed system to learn embeddings of large graphs
Author: AWS AI
Home-Page: https://github.com/awslabs/dgl-ke
Project-Url: Source, https://github.com/awslabs/dgl-ke
Project-Url: Bug Reports, https://github.com/awslabs/dgl-ke/issues
Project-Url: Documentation, https://aws-dglke.readthedocs.io/en/latest/index.html
Keywords: machine-learning,knowledge-base,graph-embedding
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: <4,>=3.5
Requires-Dist: numpy
Requires-Dist: setuptools
Requires-Dist: Sphinx; extra == "docs"
Provides-Extra: docs
Description-Content-Type: text/markdown
[No description]

WHEEL

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

RECORD

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dglke-0.1.2.dist-info/RECORD — —

top_level.txt

dglke

entry_points.txt

[console_scripts]
dglke_client = dglke.kvclient:main
dglke_convert = dglke.convert:main
dglke_dist_train = dglke.dist_train:main
dglke_emb_sim = dglke.infer_emb_sim:main
dglke_eval = dglke.eval:main
dglke_partition = dglke.partition:main
dglke_predict = dglke.infer_score:main
dglke_server = dglke.kvserver:main
dglke_train = dglke.train:main