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.
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In your project, go to Settings and search for
Project Interpreter.
Depending on your operating system, Settings may be called
Preferences.
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Search for Deployment.
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On the Connection tab, add the following path to the
Root path field:
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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.
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Expand Deployment in the left navigation and go to 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.
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Sync for the project file(s) to your machine and begin editing.