create env
conda create -n wineq python=3.9 -y
activate env
activate wineq
created requirements file
install the reqmnts
pip install -r requirements.txt
Download the data from "https://www.kaggle.com/datasets/sh6147782/winequalityred" to data_given directory
git init
dvc init
dvc add data_given/winequality.csv
git add .
git commit -m "first commit"
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
tox command -
tox
for rebuilding
tox -r
pytest command
pytest -v
ssetup commands -
pip install -e .
build your own package commands
python setup.py sdist bdist wheel
create an artifacts folder
mlflow server command -
mlflow server \
--backend-store-uri sqlite:///mlflow.db \
--default-articaft-root ./articrafts \
--host 0.0.0.0 -p 1234