Databricks Releases Open Source Machine Learning Platform MLflow Aimed To Standardize ML Workflows

San Francisco headquartered Databricks that provides a unified analytics platform released MLflow, a new open source project that strives to provide some standardization to the complex processes that machine learning engineers face during the course of building, testing, and deploying machine learning models. Announcing the release of the open source platform, CTO Matei Zaharia, also the creator of Apache Spark noted that even though there are a number of open source tools that cover each and every phase of the machine learning ifecycle, such as data preparation and model training, it is hard to track experiments and reproduce the results. At a keynote address, Zaharia observed that machine learning development lifecycle is highly complex and developers face a lot of issues which are usually not present in a traditional software developme