rudiswt / airflow-deploy-ML

testing airflow

Restore Database

run airflow/scheduler

docker-compose up airflow-init
docker-compose up

to trigger DAG

Open localhost:8080 on the browser
user airflow pass airflow

run rest api

pip install -r requirements.txt
python main.py

to test API

localhost:8080/predict
Contoh request body { "items": [{ "sepal_length": 5.1, "sepal_width": 3.5, "petal_length": 1.4, "petal_width": 0.2 },{ "sepal_length": 5.1, "sepal_width": 3.5, "petal_length": 1.4, "petal_width": 0.2 }] } atau { "items": [[4.2,2.3,4,2.1], [5.6, 3, 3.5,1.5]] }