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openshift-mlflow-server

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.

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