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Performing complete end-to-end ML and CI/CD with retraining (MLOps) on wine dataset

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architjen/MLOps_wine_quality

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create env

python3 -m venv fold_name

activate env

source fold_name/bin/activate

created a req file

install the req

pip install -r requirements.txt

download the data from

https://drive.google.com/drive/folders/18zqQiCJVgF7uzXgfbIJ-04zgz1ItNfF5?usp=sharing

git init
dvc init 
dvc add data_given/winequality.csv
git add .
git commit -m "first commit"

oneliner updates for readme

git add . && git commit -m "update Readme.md"
git remote add origin https://github.com/architjen/MLOps_wine_quality.git
git branch -M main
git push origin main

tox command -

tox

for rebuilding -

tox -r 

pytest command

pytest -v

setup commands -

pip install -e . 

build your own package commands-

python setup.py sdist bdist_wheel

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Performing complete end-to-end ML and CI/CD with retraining (MLOps) on wine dataset

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