We’re excited to announce today the release of MLflow 1.1. In this release, we’ve focused on fleshing out the tracking component of MLflow and improving visualization components in the UI.
Some of the major features include:
– Automatic logging from TensorFlow and Keras
– Parallel coordinate plots in the tracking UI
– Pandas DataFrame based search API
– Java Fluent API
– Kubernetes execution backend for MLflow projects
– Search Pagination
Looks like they’re putting in a lot of work on this.