This MLOps example provides a sample AI production setup using Google AI Platform, Tensorflow 2.0, Google Functions(Serverless API), sacred(Experiment Management) and Microsoft NNI(AutoML)
- Korean
https://brunch.co.kr/@chris-song/101
- English(WIP)
https://docs.mongodb.com/manual/tutorial/install-mongodb-on-os-x/
pip install -r requirements.txt$ wget https://archive.ics.uci.edu/ml/machine-learning-databases/wine-quality/winequality-white.csvGOOGLE_APPLICATION_CREDENTIALS=[crendentials json file] python train.py
GOOGLE_APPLICATION_CREDENTIALS=chris-loves-ai-key.json python train.pyor
export GOOGLE_APPLICATION_CREDENTIALS=chris-loves-ai-key.json
python train.pypip install nninnictl create -c nni.ymlpip install sacrednpm install -g omniboard
omniboard -m hostname:port:database
omniboard -m 127.0.0.1:27017:experiments