Install TigerGraph ML Workbench

This page provides the instructions to install TigerGraph ML Workbench.

Prerequisites

  • Supported OS: macOS and Linux

  • Port 8888 needs to be open on the machine hosting the Jupyter server to access JupyterLab.

  • Required packages

    • git

Procedure

  1. Sign up for the ML Workbench Preview release. After signing up, you will receive an email with a link to the ML Workbench installation script. Choose the version of the package based on your OS and download the script.

  2. Run the installation script. In your terminal, run bash <path_to_installation_script>. You will be asked to review the terms and conditions, as well as choose a location to install the workbench.

  3. Close the current shell session. In a new terminal tab, run jupyter lab to start the jupyter lab server. You will see a URL you can use to visit the server in a browser. Or if you would like to access jupyter lab from a remote browser, run jupyter lab --ip=0.0.0.0 --no-browser instead.

Video walk-through

Here is a video walk-through of the installation process: