Workflows

These workflows are associated with Train and Test a Deep learning image classifier with Galaxy-Ludwig

To use these workflows in Galaxy you can either click the links to download the workflows, or you can right-click and copy the link to the workflow which can be used in the Galaxy form to import workflows.

Ludwig - Image recognition model - MNIST
Paulo Cilas Morais Lyra Junior, Junhao Qiu, Jeremy Goecks

Last updated Oct 28, 2024

Launch in Tutorial Mode question
License: AGPL-3.0-or-later
Tests: ✅ Results: Not yet automated

flowchart TD
  0["ℹ️ Input Dataset\nconfig.yaml"];
  style 0 stroke:#2c3143,stroke-width:4px;
  1["ℹ️ Input Dataset\nmnist_dataset.csv"];
  style 1 stroke:#2c3143,stroke-width:4px;
  2["ℹ️ Input Dataset\nmnist_images.zip"];
  style 2 stroke:#2c3143,stroke-width:4px;
  3["Ludwig Experiment"];
  0 -->|output| 3;
  1 -->|output| 3;
  2 -->|output| 3;
	

Importing into Galaxy

Below are the instructions for importing these workflows directly into your Galaxy server of choice to start using them!
Hands-on: Importing a workflow
  • Click on Workflow on the top menu bar of Galaxy. You will see a list of all your workflows.
  • Click on galaxy-upload Import at the top-right of the screen
  • Provide your workflow
    • Option 1: Paste the URL of the workflow into the box labelled “Archived Workflow URL”
    • Option 2: Upload the workflow file in the box labelled “Archived Workflow File”
  • Click the Import workflow button

Below is a short video demonstrating how to import a workflow from GitHub using this procedure:

Video: Importing a workflow from URL