(Optional) Configure the Sync Between Cloudera Machine Learning and PyCharm

Configuring what files PyCharm ignores can help you adhere to IT policies.

Before you configure syncing behavior between the remote editor and Cloudera Machine Learning, ensure that you understand the policies set forth by IT and the Site Administrator. For example, a policy might require that data remains within the Cloudera Machine Learning deployment but allow you to download and edit code.
  1. In your project, go to Settings and search for Project Interpreter.
    Depending on your operating system, Settings may be called Preferences.
  2. Search for Deployment.
  3. On the Connection tab, add the following path to the Root path field:
  4. Optionally, add a Deployment path on the Mappings tab if the code for your Cloudera Machine Learning project lives in a subdirectory of the root path.
  5. Expand Deployment in the left navigation and go to Options > Upload changed files automatically to the default server and set the behavior to adhere to the policies set forth by IT and the Site Administrator.

    Cloudera recommends setting the behavior to Automatic upload because the data remains on the cluster while your changes get uploaded.

  6. Sync for the project file(s) to your machine and begin editing.