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AI-Aquatica

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0.1.0 AI_Aquatica-0.1.0-py3-none-any.whl

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Project: AI-Aquatica
Version: 0.1.0
Filename: AI_Aquatica-0.1.0-py3-none-any.whl
Download: [link]
Size: 20886
MD5: 7e8f5370bb040efe5dba3df19d46b959
SHA256: 78e687d40e67694dbc8d3b0e348cf5c35858da87f30d69dd0950f0f1efbedafe
Uploaded: 2024-06-23 10:05:14 +0000

dist-info

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

METADATA

Metadata-Version: 2.1
Name: AI-Aquatica
Version: 0.1.0
Summary: The project is used to analyze water quality data using AI/ML tools.
Author: Tymoteusz Miller
Author-Email: me[at]tymoteuszmiller.dev
Home-Page: https://github.com/TyMill/AI-Aquatica
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: scikit-learn
Requires-Dist: matplotlib
Requires-Dist: seaborn
Requires-Dist: jinja2
Requires-Dist: sqlalchemy
Requires-Dist: pymongo
Requires-Dist: tensorflow
Requires-Dist: plotly
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 1936 characters]

WHEEL

Wheel-Version: 1.0
Generator: setuptools (70.1.0)
Root-Is-Purelib: true
Tag: py3-none-any

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AI_Aquatica-0.1.0.dist-info/RECORD — —

top_level.txt

ai_aquatica
tests

entry_points.txt

[console_scripts]
run-stacking = EcoStackML.scripts.run_stacking:main