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abstractMLBaseModelTask

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Project:	abstractMLBaseModelTask
Version:	0.2
Filename:	abstractMLBaseModelTask-0.2-py3-none-any.whl
Download:	[link]
Size:	4238
MD5:	`a983f71e1896771ee64b7fba03425206`
SHA256:	`9393cc04b4dd0603341c6f0e4579a1bdfcab76ce30275208b01163765cc620e5`
Uploaded:	2021-02-07 14:55:32 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version:	2.1
Name:	abstractMLBaseModelTask
Version:	0.2
Summary:	Abstract Machine learning base model with analysis
Author:	Ulzii-Utas Narantsatsralt
Author-Email:	ulziiutas.n[at]gmail.com
Home-Page:	https://github.com/ulziiutas/abstractMLBaseModelTask
License:	MIT
Requires-Dist:	numpy
Requires-Dist:	sklearn
Requires-Dist:	seaborn
Requires-Dist:	pandas
Requires-Dist:	tensorflow

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WHEEL

Wheel-Version:	1.0
Generator:	bdist_wheel (0.36.2)
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Tag:	py3-none-any

RECORD

Path	Digest	Size
abstractMLBaseModelTask/__init__.py	sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU	0
abstractMLBaseModelTask/abstractMLBaseModel.py	sha256=eR4kuVioOBiakW1oUI6x2L1ikv_hYgea7RuIXMLVSoE	279
abstractMLBaseModelTask/comprehensibility_analysis.py	sha256=27CC3POgdtHaumkJ__wOuwfwmpLyT75GEr7XKAnQ4Qo	823
abstractMLBaseModelTask/functionality_analysis.py	sha256=xE5tXbGxG7N9G0RL7evyhb6accHvNaJxOtWqql31-9I	780
abstractMLBaseModelTask/neuralNetworkModel.py	sha256=J2xFP67ZZF9xZV26H9CvC9zzVr4TMY-UXxgQBkqrd6w	3224
abstractMLBaseModelTask-0.2.dist-info/METADATA	sha256=Hwc8uXtTFuYAcsrWT5KNIjatc2Sdte7xCr6rgZwfHVA	416
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abstractMLBaseModelTask-0.2.dist-info/top_level.txt	sha256=eVTgRflUBQG-Li-kAIXbfGiHL6M8yXX4QLwf9yMKbec	24
abstractMLBaseModelTask-0.2.dist-info/RECORD	—	—

top_level.txt

abstractMLBaseModelTask