MLflow: An open platform to simplify the machine learning lifecycle
January 20, 2020
Successfully building and deploying a machine learning model is difficult to do once. Enabling other data scientists to reproduce your pipeline, compare the results of different versions, track what's running where, and redeploy and rollback updated models is much harder. Mani Parkhe and Andrew Chen offer an overview of MLflowa new open source project from Databricks that simplifies this process.