ivanovnikolayyy

Homework for 'Machine Learning in Production' course

Local

install

curl -sSL https://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py | python -
poetry install

train

poetry run python ml_project/run.py train configs/train_config.yaml

predict

poetry run python ml_project/run.py predict models/model.pkl data/train.csv predicts.npy

run app

PATH_TO_MODEL="models/model.pkl" poetry run python ml_project/app.py

tests

poetry run pytest tests/.

Docker

install

pull latest build

docker pull ivanovnikolayyy/made_ml_in_prod:latest

or build your own docker image

docker build -t <docker_id>/<name>:<tag> .

predict

run app in docker container

docker run -p 8000:8000 <docker_id>/<name>:<tag>

after application startup complete, in separate tab run

python ml_project/make_request.py

airflow

docker compose down -v
docker compose up --build