Managing Model Ensembles With MLflow
In machine learning, an ensemble is a collection of diverse models that provide more predictive power together than any single model would on its own. The outputs of multiple learning algorithms are combined through a process of averaging or voting, resulting in potentially a better prediction for a given set of inputs. However, there are...
Announcing Databricks Labs Terraform integration on AWS and Azure
We are pleased to announce integration for deploying and managing Databricks environments on Microsoft Azure and Amazon Web Services (AWS) with HashiCorp Terraform. It is a popular open source tool for creating safe and predictable cloud infrastructure across several cloud providers. With this release, our customers can manage their entire Databricks workspaces along with the...
