Add Cloudera Machine Learning as an Interpreter for PyCharm
In PyCharm, you can configure an SSH interpreter. Cloudera Machine Learning uses this method to connect to PyCharm and act as its interpreter.
- Open PyCharm.
- Create a new project.
- Expand Project Interpreter and select Existing interpreter.
- Click on ... and select SSH Interpreter
Select New server configuration and complete the fields:
- Host: localhost
- Port: 2222
- Username: cdsw
Select Key pair and complete the fields using the RSA private
key that corresponds to the public key you added to the Remote
Editing tab in the Cloudera Machine Learning web UI..
For macOS users, you must add your RSA private key to your keychain. In a terminal window, run the following command:
ssh-add -K <path to your prviate key>/<private_key>
Complete the wizard. Based on the Python version you want to use, enter one of the
You are returned to the New Project window. Existing interpreter is selected, and you should see the connection to Cloudera Machine Learning in the Interpreter field.
In the Remote project location field, specify the following
- Create the project.