This process can be used to ensure that a browser IDE works as
expected before you install it to a project or to a customized engine image.
This process is not meant for browser IDEs that require root permission to
install, such as RStudio.
These steps are only required if you want
to use an editor that does not come preinstalled as part of the default
engine image. Perform the following steps to configure an editor for your
session:
- Ensure that your browser accepts pop-up windows and cookies
from Cloudera Machine Learning web UI.
- Open the Cloudera Machine Learning web UI.
- Go to your project and launch a session with the kernel of your
choice and the Workbench editor. Alternatively,
open an existing session.
- In the interactive command prompt or terminal for the session,
install the editor you want to use. See the documentation for your
editor for specific instructions.
For example:
- Jupyter Lab
-
- Python 3
- The following example command installs Jupyter Lab for
Python
3:
!pip3 install jupyterlab
- After the installation completes, enter the command to start
the server for the notebook on the port specified in the
CDSW_APP_PORT environment variable on IP
address
127.0.0.1.For example, the
following command starts the server for Jupyter Lab on the port
specified in the
CDSW_APP_PORT environment
variable:
!/home/cdsw/.local/bin/jupyter-lab --no-browser --ip=127.0.0.1 --port=${CDSW_APP_PORT} --NotebookApp.token= --NotebookApp.allow_remote_access=True --log-level=ERROR
- Click on the grid icon in the top right.
You
should see the editor in the drop-down menu. If you select the editor,
it opens in a new browser tab.
