title: In MLflow project using docker environment, how to setup aws credentials
body: <p>I am working on using 'MLflow' project and one use case is like this.</p>
  
  <pre><code>The MLflow running target/environment is docker.
  Data lives on aws s3
  When developing on a laptop. The laptop has an aws profile to access data. 
  (When developing on EC2, the EC2 have role attached to access s3) 
  </code></pre>
  
  <p>Currently, I have credentials stored on the host as '~/.aws/credential', and can access s3 in the host. Question is: In MLflow project, how do I make program running on docker access s3 files? </p>
  
  <p>Note that the question is not "in general" how to setup docker. The question is the recommended way to do the aws setup/configuration in a MLflow project. Thanks!</p>