This template helps you:
- Load and process data
- Train, evaluate, and save models
- Serve predictions via FastAPI
- Deploy using Docker
# Train model
python src/train.py
# Evaluate model
python src/evaluate.py
# Start API server
uvicorn api.main:app --reloaddocker build -t ml-api .
docker run -p 8000:8000 ml-apiOr Run in Local server on main.py folder command uvicorn main:app --reload load on browser http://127.0.0.1:8000/docs
pip install -r requirements.txt