【文件属性】：
文件名称：WineQuality_ML_Ops
文件大小：25KB
文件格式：ZIP
更新时间：2021-04-05 18:12:17
JupyterNotebook
创建环境
conda create -n winequal python=3.7 -y
激活环境
activate winequal
创建requirements.txt并安装它
pip install -r requirements.txt
download the wine.csv from kaggle
git init
dvc init
dvc add data_given/wine.csv
git add .
git commit -m " Initial Commit "
git branch -M main
git remote add origin https://github.com/Ravikud/WineQuality_ML_Ops.git
git push -u origin main
tox命令-
tox
pytest命令-
pytest -v
【文件预览】：
WineQuality_ML_Ops-main
----setup.py(204B)
----.gitignore(139B)
----.ipynb_checkpoints()
--------Untitled-checkpoint.ipynb(72B)
----requirements.txt(94B)
----data()
--------raw()
--------processed()
----src()
--------train_and_evaluate.py(2KB)
--------split_data.py(971B)
--------load_data.py(667B)
--------.gitkeep(0B)
--------get_data.py(682B)
--------__pycache__()
--------__init__py(0B)
----Untitled.ipynb(14KB)
----notebooks()
--------.gitkeep(0B)
----template.py(526B)
----README.md(670B)
----.dvcignore(142B)
----.tox()
--------log()
--------dist()
----dvc.yaml(849B)
----src.egg-info()
--------top_level.txt(5B)
--------SOURCES.txt(180B)
--------PKG-INFO(186B)
--------dependency_links.txt(1B)
----data_given()
--------.gitignore(27B)
--------winequality.csv.dvc(84B)
--------wine.csv.dvc(77B)
----saved_models()
--------.gitkeep(0B)
----test()
--------conftest.py(0B)
--------__init__.py(0B)
--------test_config.py(318B)
--------__pycache__()
----params.yaml(499B)
----tox.ini(80B)
----dvc.lock(948B)
----.dvc()
--------.gitignore(29B)
--------config(0B)
--------plots()