Learn

All of the guides in this section are meant to help you get started with building ML workflows in Graphbook. The resulting workflows and custom nodes can be found in Examples.

Introduction

Keep in mind that when working with Graphbook, the development cycle in building a workflow can be illustrated in a few simple steps:

  1. Build in Python

    Write processing nodes using Python in your favorite code editor

  2. Assemble in Graphbook

    Assemble an ML workflow in the Graphbook web UI with your own processing nodes

  3. Execute

    Run, monitor, and adjust parameters in your workflow

In this section