Deploying a CDV application in CML
Learn how to deploy Cloudera Data Visualization (CDV) in Cloudera Machine Learning (CML).
Creating a CML project with CDV Runtime
Learn how to create a Cloudera Machine Learning (CML) project with Cloudera Data Visualization (CDV) Runtime as the default runtime.
After the project is created, you can start creating your application. If you added Cloudera Data Visualization Runtime as the only runtime during project set-up, it will be the only available runtime when creating your application. You can select which edition you want to use for the application.
Adding CDV Runtime to a CML project
Learn how to add Cloudera Data Visualization (CDV) Runtime to an existing Cloudera Machine Learning (CML) project.
Creating CDV application in CML
Learn how to create a Cloudera Data Visualization (CDV) application in Cloudera Machine Learning (CML) to help you visualize and interact with your data insights. This integration allows for seamless visualization of ML model outputs, data exploration, and reporting within the same platform.
Ensure that a CDV Runtime is available the CML project where you want to create the CDV application.
For more information about ML Runtimes, see Managing ML Runtimes and Using Runtime Catalog.
After a few minutes, the application status will change from Starting to Running on the Applications page. Your CDV application is now fully operational.
You can restart, stop, or delete a CML application from the supplemental menu. If you want to make changes to the application, navigate to
.