The service fetches the model artifact from model artifactory service[https://github.com/kumarvikas1/model-artifactory]
Run Locally
minikube start
eval $(minikube docker-env)
docker build -t deploy-service:1 .
cd kubernetes
kubectl apply -f rbac.yaml
kubectl apply -f deployment.yaml
Test- You will need to update your hosts file for below host name
http://dev.xgboostdemo.com/deploy-service/xgboost-demo
You should have your model ready to be served using a random feature values
curl http://dev.xgboostdemo.com/sampling-service/xgboost-demo/predict
You can also send model input feature values
curl --location --request POST 'http://dev.xgboostdemo.com/sampling-service/xgboost-demo/predict' \
--header 'Content-Type: application/json' \
--data-raw '{
"features": [[0.4886530794542341, 0.9931183497579041, 0.5521141503801427]]
}'
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