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distributed-imm-new

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0.1	distributed_imm_new-0.1-py3-none-any.whl

Wheel Details

Project:	distributed-imm-new
Version:	0.1
Filename:	distributed_imm_new-0.1-py3-none-any.whl
Download:	[link]
Size:	14007
MD5:	`3c70110a5ae8e9280279c659ea5318be`
SHA256:	`fb406f69217e95ad3c8d6128a95a282dd1d0a291982ccff9b213b6cedf6958f0`
Uploaded:	2025-02-07 07:26:59 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version:	2.1
Name:	distributed-imm-new
Version:	0.1
Summary:	A distributed implementation of the IMM algorithm for explaining clusters in Spark ML pipelines.
Author:	saadha
Author-Email:	marium.20[at]cse.mrt.ac.lk
Requires-Python:	>=3.6
Requires-Dist:	pyspark (>=3.0.0)
Requires-Dist:	scikit-learn
Requires-Dist:	pandas
Requires-Dist:	numpy
Requires-Dist:	graphviz
Requires-Dist:	cython

[No description]

WHEEL

Wheel-Version:	1.0
Generator:	bdist_wheel (0.45.1)
Root-Is-Purelib:	true
Tag:	py3-none-any

RECORD

Path	Digest	Size
d_imm/__init__.py	sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU	0
d_imm/histogram.py	sha256=eKz2hiwSUJmzzbzXvpaRsWoeQctWdJARpOpJPsMb3e0	4365
d_imm/imm_model.py	sha256=wrCf6eKaUuJRBhXTr51O9nAgSXk4nzdBTA2Ac4feWt0	26589
d_imm/histogram/__init__.py	sha256=83tqjGE0mzw_dSBSeqcof8quNW-q7P3JM9lcHOPRtZQ	63
d_imm/histogram/histogram.py	sha256=lG0U3YLrBnxcuKQBWm_0lawtSlHSJuenS9m1k3K6pts	19197
d_imm/histogram/test_main.py	sha256=SKGcnsrUVBm1EEHmUahVbqkaTxSzwuPLTfJomO2hTPI	5493
d_imm/splitters/__init__.py	sha256=Vmaulo_L7xCKq2n6QET2bq11ePnqkAdX-uIxwcz3nA8	84
d_imm/splitters/setup.py	sha256=vIDI-5an49YP8c7MNvHPfQh6yyg61DqYrXBJLDoAPnE	515
distributed_imm_new-0.1.dist-info/METADATA	sha256=BEOAivFlLvtR0wuhcTVJt8ao4VvlbY6BkRSGBr-9DNQ	405
distributed_imm_new-0.1.dist-info/WHEEL	sha256=tZoeGjtWxWRfdplE7E3d45VPlLNQnvbKiYnx7gwAy8A	92
distributed_imm_new-0.1.dist-info/top_level.txt	sha256=lhAtiMxCCDMATsY_4QsAajHYAED-9XwkJ66VfV9ROtc	6
distributed_imm_new-0.1.dist-info/RECORD	—	—

top_level.txt

d_imm