graphreduce

View on PyPIReverse Dependencies (1)

1.7.0 graphreduce-1.7.0-py3-none-any.whl

Wheel Details

Project: graphreduce
Version: 1.7.0
Filename: graphreduce-1.7.0-py3-none-any.whl
Download: [link]
Size: 33167
MD5: b78a687b42a898e6d252c00f10840619
SHA256: 75b14db0336f674fc877afd6430557fce003a69d71e49e97102ef716c7c17006
Uploaded: 2024-11-27 18:07:31 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: graphreduce
Version: 1.7.0
Summary: Leveraging graph data structures for complex feature engineering pipelines.
Author: Wes Madrigal
Author-Email: wes[at]madconsulting.ai
Home-Page: https://github.com/wesmadrigal/graphreduce
Project-Url: Source, http://github.com/wesmadrigal/graphreduce
Project-Url: Issue Tracker, https://github.com/wesmadrigal/graphreduce/issues
License: MIT
Keywords: feature engineering,mlops,entity linking,graph algorithms
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Requires-Dist: abstract.jwrotator (>=0.3)
Requires-Dist: dask
Requires-Dist: dask[dataframe]
Requires-Dist: networkx (>=2.6.3)
Requires-Dist: numpy (==1.26.4)
Requires-Dist: pandas (>=1.3.4)
Requires-Dist: pyspark (>=3.2.0)
Requires-Dist: pyvis (>=0.3.1)
Requires-Dist: setuptools (>=65.5.1)
Requires-Dist: structlog (>=23.1.0)
Requires-Dist: pytest (>=8.0.2)
Requires-Dist: pydantic (==1.10.5)
Requires-Dist: woodwork (==0.29.0)
Description-Content-Type: text/markdown
[Description omitted; length: 13223 characters]

WHEEL

Wheel-Version: 1.0
Generator: setuptools (75.6.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
graphreduce/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
graphreduce/__main__.py sha256=wr7J1JLYwG1Oj-aJ5oBklvpVTfPpwJtl8-wIjPw_El8 206
graphreduce/common.py sha256=QfrZjUMsDgO-t1wHUVrIQcJP6gr52a1rpgt2nepM5DM 2439
graphreduce/context.py sha256=iocKVLTrvSt1ZXUJNMEmIjP7ItKglZ0deXZN2oW-86E 2192
graphreduce/enum.py sha256=CnDAY3k0db1_YuFMmuOclgp7FLzYJX1gjlgbyW00Grk 1505
graphreduce/graph_reduce.py sha256=DDaQ0vYCowZ1LUGfN31zXJyfrF6lN4JRJEZp8ehDS_s 35325
graphreduce/metadata.py sha256=OsmcTkaEVHjZMwo9B26CD45mGNLPkO4XxlyKkJeee6Y 517
graphreduce/node.py sha256=5dQSWnCEINrUpnQMdZ0efRYJs5WH6zUgXgrVc1_1P_Y 53830
graphreduce/storage.py sha256=5amtMHvGgmKyr9B_98v0n6XA2Sm_1aR1o8pjL_higZY 3180
graphreduce/cli/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
graphreduce/cli/auto_fe.py sha256=kcOL9hpFHHfPb7X-3cq903Z33-xFSpWf__-rug3BPzw 3398
graphreduce/cli/entry_point.py sha256=PYV6v6vhzgrIyQrZ-RkQ79JLyN2jRXQHh19fedkEoc8 568
graphreduce/models/__init__.py sha256=_crCvlyJ5SuQV5Pe5BrgIYVfGlqzxdXSaND1p7Kvm80 553
tests/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
tests/test_datasets.py sha256=kZyQ3rZ9UNfVFmJFIMUmvZ90BHZAC9M0kbmesv9otTU 3863
tests/test_graph_reduce.py sha256=ZzkR2APMfuwMuwhqMIVQUtikDmyVBpIXCCjnVeLdahY 11046
graphreduce-1.7.0.dist-info/METADATA sha256=D1jEaMja4HOYPASg6uHnJDcjWnu44yZsUfK660W-yMg 14596
graphreduce-1.7.0.dist-info/WHEEL sha256=PZUExdf71Ui_so67QXpySuHtCi3-J3wvF4ORK6k_S8U 91
graphreduce-1.7.0.dist-info/top_level.txt sha256=rRwVK50JmZLsxEKBiJhOfo7lwTL6fu1JRbDIefn4thY 18
graphreduce-1.7.0.dist-info/RECORD

top_level.txt

graphreduce
tests