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red-wine-mm

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0.0.3 red_wine_mm-0.0.3-py3-none-any.whl

Wheel Details

Project: red-wine-mm
Version: 0.0.3
Filename: red_wine_mm-0.0.3-py3-none-any.whl
Download: [link]
Size: 398403
MD5: c8590486553f36749f62b6946c9ca410
SHA256: 9d688fbcd3738c1839f234fdd72d0cbea16767f3e21dad6089d66b323acc7612
Uploaded: 2024-11-06 01:52:52 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: red-wine-mm
Version: 0.0.3
Summary: A red wine classification model
Author-Email: Matthew Choi <matt.choi531[at]gmail.com>
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10
Requires-Dist: numpy
Requires-Dist: scikit-learn
Requires-Dist: typing
Requires-Dist: pandas
Requires-Dist: pydantic
Requires-Dist: strictyaml
Requires-Dist: pathlib
Requires-Dist: pytest; extra == "dev"
Requires-Dist: tox; extra == "dev"
Requires-Dist: flake8; extra == "dev"
Requires-Dist: black; extra == "dev"
Requires-Dist: isort; extra == "dev"
Requires-Dist: matplotlib; extra == "viz"
Requires-Dist: seaborn; extra == "viz"
Provides-Extra: dev
Provides-Extra: viz
Description-Content-Type: text/markdown
[Description omitted; length: 964 characters]

WHEEL

Wheel-Version: 1.0
Generator: setuptools (75.3.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
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red_wine_mm/config.yml sha256=nGgJWHHmeHXvpikh1zBUYfXoOZ7f3goW0XzPoYzmj9Y 565
red_wine_mm/pipeline.py sha256=t6a2h7jekm6wfzaMc55Aimb5uVzPBXbEoVBHccWVDBg 579
red_wine_mm/predict.py sha256=L_3hIQCTvAgIjJ9CpngrG_td7iEtu1RidvzuNpSKjfQ 973
red_wine_mm/train_pipeline.py sha256=exVQAR4LQP22vqz_7wc4YHiMgGtsMmYyQpiTBZg5Xxk 847
red_wine_mm/config/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
red_wine_mm/config/core.py sha256=aRdu6Z7YRJne7bjw2DGJ4K5Lrao9CmATmsa_TDpD5yk 1970
red_wine_mm/datasets/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
red_wine_mm/processing/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
red_wine_mm/processing/data_manager.py sha256=AraBUlRoj-xtxicNoFX6GlrtFOWLmc90P_ESupJ2C8o 2374
red_wine_mm/processing/validation.py sha256=4Kp1_h-VJ87ecu93rIOt9stkV7OJdgDlDIlkxfMhjkA 1221
red_wine_mm/trained_models/red-wine-mm-outputsv0.0.3.pkl sha256=3qBPfd_ZQ8OvRiScdp285dSCf7Y8kHbdAJqfvPUo30g 2111409
red_wine_mm-0.0.3.dist-info/METADATA sha256=tFxov9qGloReLDqVPi1sqg9AC57U_Nm8H666zzKOlWI 1744
red_wine_mm-0.0.3.dist-info/WHEEL sha256=P9jw-gEje8ByB7_hXoICnHtVCrEwMQh-630tKvQWehc 91
red_wine_mm-0.0.3.dist-info/top_level.txt sha256=Autw4PQ0_1OsegtFL7Nubv8gUUW2wbz9qdPU3Q3i9Yk 12
red_wine_mm-0.0.3.dist-info/RECORD — —

top_level.txt

red_wine_mm