create env

conda create -n wineq python=3.7 -y

activate env

conda activate wineq

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"

oneline updates for readme

git add . && git commit -m "update Readme.md"

git remote add origin https://github.com/c17hawke/simple-dvc-demo.git
git branch -M main
git push origin main

Model testing

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

.github creates a ci-cd pipline for the deployment purpose

create an artifcats folder

mlflow server command -

mlflow server --backend-store-uri sqlite:///mlflow.db --default-artifact-root ./artifacts --host 0.0.0.0 -p 1234