Configure VS Code as a Local IDE

Cloudera Machine Learning supports using local IDEs on your machine that allow remote execution and/or file sync over SSH, such as VS Code. This topic describes the tasks you need to perform to configure Cloudera Machine Learning to act as a remote SSH interpreter for VS Code. Once finished, you can use VS Code to edit and sync the changes to Cloudera Machine Learning. To perform actions such as deploying a model, use the Cloudera Machine Learning web UI.
Before you begin, ensure that the following prerequisites are met:
  • You have an edition of VS Code that supports SSH.
  • You have an SSH public/private key pair for your local machine that is compatible with VS Code.
  • You have Contributor permissions for an existing Cloudera Machine Learning project. Alternatively, create a new project you have access to.