Configure VS Code as a local IDE

Follow the guidelines for configuring VS Code as a local Integrated Development Environment (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 syncronise 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.