How to Train a Model With ML Flow

When I'm learning something new, I like to approach it from a tool builder perspective. So by starting at it from a user perspective, it lets me feel the pain points of the API. It could be an amazing library with super sexy APIs that it's just like butter. But making mistakes isn't isn't the best advice. There's got to be some some underlying structure for like hypothesis testing and then answering these hypotheses that you use.