ML Workbench on TigerGraph Cloud

ML Workbench is disabled by default for Free, Professional, and Enterprise instances. To get started with the ML Bundle, please contact

The ML Workbench can be included when you create a new database instance on TigerGraph Cloud.

Create a Cloud Cluster with ML Workbench

  1. Go to Log on to your account or sign up.

  2. Enter your payment information.

  3. Click the btn:[Create Cluster] button.

  4. From the menu at the top, select btn:[ML Workbench], then follow the same instructions as for creating an enterprise-tier instance.

create cluster mlwb 3.9

It will take a few minutes for your instance to be ready.

Go to ML Workbench on TigerGraph Cloud

When your new instance is ready, it will be listed on the My Clusters page, probably at the top because it is the newest one.

mlwb dropdown 3.9

From the Tools dropdown menu, choose btn:[Machine Learning Workbench].

Alternately, you can view a list of all clusters by going to the Tools menu on the left (or any nine-dot TigerGraph Suite button) and going to ML Workbench. These options only appear with Machine Learning Workbench-enabled clusters running TigerGraph version 3.8.0 or newer.

family of apps

Click on btn:[ML Workbench] to see a list of clusters with ML Workbench enabled.

mlwb connect to cluster

Get started with ML Workbench

Included with the ML Workbench is a Jupyter notebook README file to help you get started:

  • Set up secure access between your ML Workbench and your database.

  • Learn the basics so that you can begin running machine learning applications on TigerGraph Cloud.

mlwb ipynb main