Deploying code packages

You can deploy code packages that contain R shiny application assets from your deployment space. To leverage other types of code files contained in a code package, you must create and run a batch deployment job.

Before you begin

You must add a code package asset that contains an R shiny application file added to your deployment space. For more information, see Adding code packages to a deployment space.

Note:

Watson Machine Learning does not support deployment of Python functions in code packages.

Procedure

To deploy a code package that contains R shiny application assets from your deployment space, follow these steps:

  1. From your deployment space, click the Assets tab.

  2. For your code package asset, select the Menu icon Image of menu icon and click Deploy.

    Screenshot showing how to deploy code package assets in a deployment space

  3. In the Select R Shiny application folder dialog box, select the R Shiny application asset that you want to deploy, and click Create deployment.

    Screenshot showing how to select folder containing R shiny application asset

  4. In the Create a deployment dialog box, enter your deployment details, select hardware and software specifications, number of copies, access to collaborators, and click Create deployment.

    Screenshot showing dialog box to create an application deployment

Learn more

Parent topic: Deploying machine learning assets