MLflow is a platform for the “machine learning cycle”. It’s a suite of tools for managing models, with tracking of hyperparameters and metrics, a registry of models, and options for serving. It’s this last bit that I’m going to focus on today. I haven’t been able to find much discussion or documentation about MLflow’s support for R. There’s the RStudio MLflow example, but I wanted to see if I could use MLflow to serve something more complex.| mdneuzerling.com
That’s it for #useR2018. After 6 keynotes, 132 parallel sessions, many more lightning talks and posters, and an all-important conference dinner, we’ve reached the end of the week. This was my first proper conference since 2015. I had almost forgotten how it felt to be surrounded by hundreds of people who are just as passionate (if not more) about your tiny area of specialised knowledge than you are. I took notes for the three tutorials I went to, but I wanted to take a moment to review th...| mdneuzerling.com