MLflow, TensorFlow, and an Open Source Show
This summer, I interned on the ML Platform team. I worked on MLflow, an open-source machine learning management framework. This blog post details the projects I worked on, and my experience at Databricks overall. The automatic logging feature I developed makes it easier for data scientists to track their training sessions, without having to change...
Announcing the MLflow 1.1 Release
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...
