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MLapp1

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0.0.37 MLapp1-0.0.37-py3-none-any.whl

Wheel Details

Project: MLapp1
Version: 0.0.37
Filename: MLapp1-0.0.37-py3-none-any.whl
Download: [link]
Size: 83234
MD5: 452e666b4fd31bb4f6018769c9038c5c
SHA256: d8c0b49149555ef1dc116ae98ef6f7885724ab6fd1112252966cc599877ff597
Uploaded: 2023-04-12 18:01:25 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: MLapp1
Version: 0.0.37
Summary: "MLapp"
Author: Akshay
Author-Email: akshaysuhag1996[at]gmail.com
Home-Page: https://github.com/FunctionalUrology/
Project-Url: Bug Tracker, https://github.com/FunctionalUrology/
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.9
Requires-Dist: dash (==2.5.1)
Requires-Dist: dash-bootstrap-components (==0.13.0)
Requires-Dist: dash-table (==5.0.0)
Requires-Dist: subprocess.run (==0.0.8)
Requires-Dist: pickle4 (==0.0.1)
Requires-Dist: numpy (==1.21.2)
Requires-Dist: zipfile36 (==0.1.3)
Requires-Dist: pandas (==1.3.3)
Requires-Dist: scikit-learn (==1.0.2)
Requires-Dist: collections2 (==0.3.0)
Requires-Dist: colorlover (==0.3.0)
Requires-Dist: plotly (==5.10.0)
Requires-Dist: bokeh (==2.4.3)
Requires-Dist: imbalanced-learn (==0.9.0)
Requires-Dist: matplotlib (==3.4.3)
Requires-Dist: dash-loading-spinners (==1.0.0)
Requires-Dist: dash-uploader (==0.6.0)
Requires-Dist: packaging (==21.3)
Requires-Dist: gunicorn (==20.1.0)
Description-Content-Type: text/markdown
License-File: LICENSE.toml
[Description omitted; length: 8 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.40.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
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MLapp/__init__.py sha256=zvFe2g9wKwg24_vKAfV-5QKIKbPymi8l4-fraiHsCdY 109
MLapp/app.py sha256=cq23MQfmRntJ6eFxQNT_9BL6L67Tto_udfEAVEaoERQ 485
MLapp/generateScript.py sha256=p8O-vqMBAgCS-f8R5svxMqciFyd2xhlKQLreg_0eabY 2558
MLapp/helperFunctions.py sha256=kFzXX6Rv-f_oITDqXfwGBwaiux_LYsFrB9EH6Eos8Yg 45928
MLapp/launcher.py sha256=qzYNMhOSfQoymXRecPaTM8xTqtYzZPwoIwgRSixSAFQ 319
MLapp/main.py sha256=NdFj5ByvwtVZq3PxwVcLF7V2nHyQcBcjoTrqjFM1JuE 3861
MLapp/scriptTemplate.py sha256=b9yMcp4fXOJ6L9mScCfIRrehhGNCbuKtd8s1U_-uYPU 13361
MLapp/subScript.py sha256=eQmA1Qvz97nEWtn1JNyoCoU0YibIYbRSXjbppHNdXkM 12723
MLapp/UI/__init__.py sha256=zvFe2g9wKwg24_vKAfV-5QKIKbPymi8l4-fraiHsCdY 109
MLapp/UI/autoML.py sha256=Ot7gcftgSYZfZArdTCHGZ7Wv_dtG3d_GW7Bp7y8kDYk 26870
MLapp/UI/classifcationAlgo.py sha256=rXxMDOrv-OcKSe-nAOKYKEwOI43r3HgjwkmGMkGto6Q 61894
MLapp/UI/componentIDs.py sha256=ekNNProFzkJZghxBAiKBo89KNX-wEdqPOexhn1RyDTE 34120
MLapp/UI/dataSampling.py sha256=fqcZJVN719jgv6x8Siy-S8EZC6EUyPkG5RQ8U-dyGp8 28662
MLapp/UI/featureSelection.py sha256=1-trZvW5HmBUml6L3omMzcmSIWdsEQ1hEY83ZvzhncA 21237
MLapp/UI/layouts.py sha256=Kfd8HRcmuJMA1SyMBlPzZJC98VUsCrLVpavjU4qynsU 4735
MLapp/UI/modelEvaluation.py sha256=xjz7T9qoP9xDwYa9xBSgG4yeKTufxUGrrkD4T9FbfsU 23213
MLapp/UI/result.py sha256=cWDdPBjron2B0yxn8YIhbpVZraXby0W1YEZWp6S3ggg 25586
MLapp/UI/scaling.py sha256=4u8VuCmgDAUjzAmm5DzSbGRQ8zW112HmxfBtW_sTHZo 19094
MLapp/UI/submit.py sha256=CjPIQAPr_m3ZfMyARfBqBLzBhbbZ6FR3y9-aj5Brg1I 5562
MLapp/UI/uploadInput.py sha256=RI6tmMj-uBkLXVEMiFdaFCVWttS7Z-F2umNYgMkHJxU 13631
MLapp1-0.0.37.dist-info/LICENSE.toml sha256=IwGE9guuL-ryRPEKi6wFPI_zOhg7zDZbTYuHbSt_SAk 35823
MLapp1-0.0.37.dist-info/METADATA sha256=KiXqFn2ZxUiLL84aXjrsFLXiTWgtCHa9Wohd8i5GNPc 1180
MLapp1-0.0.37.dist-info/WHEEL sha256=pkctZYzUS4AYVn6dJ-7367OJZivF2e8RA9b_ZBjif18 92
MLapp1-0.0.37.dist-info/top_level.txt sha256=jamPVqPwj4g4Mslv7WUSvxQ0MsnO5UMEDxxDf4IYR30 6
MLapp1-0.0.37.dist-info/RECORD — —

top_level.txt

MLapp