[rhythmvertigo]

Definitely- automatic model deployment would only work for a subset of applications. We think a lot more about having models available as candidates for deployment, which can then be inspected by domain experts on a team.

One of our motivations for building visual reports that appear like comments in a pull request is giving teams metrics & info to discuss when deciding if merge is right. That way, the automated part is training and testing, but the decision making is human (i.e., data scientists whose skills are better used interpreting models & data than running repetitive training scripts).