This module sets up multi-workspace model registry between an Azure Databricks development (dev) workspace, staging workspace, and production (prod) workspace, allowing READ access from dev/staging ...

MLflow, With More Than 140 contributors And 800K Monthly Downloads, Now Offers Users A Central Model Repository To Accelerate Machine Learning Deployments AMSTERDAM & SAN FRANCISCO–(BUSINESS ...

Today, Delta Lakes is being developed by more than 140 contributors and enjoys 800,000 monthly downloads. The core platform is available for free, and Databricks sells a managed version hosted with ...

Also read: AI gets rigorous: Databricks announces MLflow 1.0 Also read: Microsoft to join MLflow project, add native support to Azure Machine Learning MLflow Model Registry offers a combination of ...

This module sets up multi-workspace model registry between an Azure Databricks development (dev) workspace, staging workspace, and production (prod) workspace, allowing READ access from dev/staging ...

AMSTERDAM and SAN FRANCISCO, Oct. 16, 2019 – Databricks, the leader in unified data analytics, today announced Model Registry, a new capability within MLflow, an open-source platform for the machine ...

Databricks, the leader in unified data analytics, today announced Model Registry, a new capability within MLflow, an open-source platform for the machine learning (ML) lifecycle created by ...