Importing the lab files into the Jupyter environment

The Jupyter environment is a web-based environment, and everything you do inside it happens on Red Hat OpenShift AI and powered by the OpenShift cluster.
This means that, without having to install and maintain anything on your own computer, and without requiring any local resources like CPU, GPU and RAM, you can perform your Data Science work in this powerful and stable environment.

Prerequisite

You created a workbench, as described in Creating a workbench and selecting a Notebook image.

Procedure

  • Wait for your workbench to be fully started

  • Click the Open link next to your workbench. If prompted, log in and allow the Notebook to authorize your user.

    Open workbench

  • Authenticate with the same credentials as earlier

    Login

  • You will be asked to accept these settings:

    Authorize Access

  • Your Jupyter environment window opens.

  • This file-browser window shows the files and folders that are saved inside your own personal space in OpenShift AI.

  • Bring the content of this lab inside your Jupyter environment:

  • On the toolbar, click the Git Clone icon:

    Git Clone icon

  • Enter the following lab Git https URL:

    https://github.com/rh-aiservices-bu/test-drive.git
    jupyter git modal

    1. Check the Include submodules option.

    2. Click CLONE.

Verification

  1. Navigate to test-drive/fraud-detection

  2. In the file browser, you should see the notebooks that you cloned from Git.

    Jupyter file browser - fraud-detection