MLFlow Server running on OpenShift
#Usage
To run MLFlow you will need to add the following environment variables or mount ~/.aws
folder.
AWS_ACCESS_KEY_ID – AWS access key.
AWS_SECRET_ACCESS_KEY – AWS secret key. Access and secret key variables override credentials stored in credential and config files.
To run with docker execute
docker run -p 5000:5000 --name tracking-server docker.io/zmhassan/openshift-mlflow-server
Note: You will need to pass in the tracking server url in the following environment variable MLFLOW_TRACKING_URI
. See example below:
docker run -e MLFLOW_TRACKING_URI='http://tracking-server:5000' --name training-job --link tracking-server docker.io/zmhassan/openshift-mlflow-job-runner
Instructions for openshift coming very soon.