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Fraud Detection Machine Learning App

Flask App, SQLAchemy, SQLite, Gunicorn, Docker, Microservice, Python

Build Status Docker Hub

Setup DB

cd fraudml
python fraudapp/model.py

Run Flask Server Local

cd fraudml
python main.py

Build Docker

docker build -t fraudml-docker:0.0.1 .

Run Docker image

docker run -d -p 8080:8080 --name fraudapp fraudml-docker:0.0.1

Docker Pull and Run

docker run -d -p 8080:8080 --name fraudapp ravishan/fraudml

Check Docker Status

docker ps -all

Check Logs

docker logs -tf fraudapp


2017-08-31T18:49:51.237387132Z Running Production Application
2017-08-31T18:49:51.493803743Z [2017-08-31 18:49:51 +0000] [1] [INFO] Starting gunicorn 19.7.1
2017-08-31T18:49:51.496746605Z [2017-08-31 18:49:51 +0000] [1] [INFO] Listening at: http://0.0.0.0:4000 (1)
2017-08-31T18:49:51.496764705Z [2017-08-31 18:49:51 +0000] [1] [INFO] Using worker: sync
2017-08-31T18:49:51.496767590Z [2017-08-31 18:49:51 +0000] [9] [INFO] Booting worker with pid: 9
2017-08-31T18:49:51.602635517Z [2017-08-31 18:49:51 +0000] [14] [INFO] Booting worker with pid: 14
2017-08-31T18:49:51.678074435Z [2017-08-31 18:49:51 +0000] [15] [INFO] Booting worker with pid: 15
2017-08-31T18:49:51.748691820Z [2017-08-31 18:49:51 +0000] [20] [INFO] Booting worker with pid: 20

fraudml's People

Contributors

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Stargazers

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