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/train.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/Priya1881/GA_MLOPS.git
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
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