Ludwig - Image recognition model - MNIST

statistics-loris_model/main-workflow

Author(s)
Paulo Cilas Morais Lyra Junior, Junhao Qiu, Jeremy Goecks
version Version
1
last_modification Last updated
Dec 13, 2024
license License
AGPL-3.0-or-later
galaxy-tags Tags
LORIS
LLR6_model
Chowell_train_test
Logistic_Regression_Model

Features

Tutorial
hands_on Building the LORIS LLR6 PanCancer Model Using PyCaret

Workflow Testing
Tests: ✅
Results: Not yet automated
FAIRness purl PURL
https://gxy.io/GTN:W00296
RO-Crate logo with flask Download Workflow RO-Crate
Launch in Tutorial Mode question
galaxy-download Download
flowchart TD
  0["ℹ️ Input Dataset\nChowell_Train_Response.tsv"];
  style 0 stroke:#2c3143,stroke-width:4px;
  1["ℹ️ Input Dataset\nChowell_Test_Response.tsv"];
  style 1 stroke:#2c3143,stroke-width:4px;
  2["PyCaret Model Comparison"];
  0 -->|output| 2;
  1 -->|output| 2;
  5925cd98-b856-4dc2-87ae-0b07f2844386["Output\nPyCaret Model Comparison best model on input dataset(s)"];
  2 --> 5925cd98-b856-4dc2-87ae-0b07f2844386;
  style 5925cd98-b856-4dc2-87ae-0b07f2844386 stroke:#2c3143,stroke-width:4px;
  a292d802-b28f-4707-862c-5454e4ebb886["Output\nPyCaret Model Comparison Comparison result on input dataset(s)"];
  2 --> a292d802-b28f-4707-862c-5454e4ebb886;
  style a292d802-b28f-4707-862c-5454e4ebb886 stroke:#2c3143,stroke-width:4px;

Inputs

Input Label
Input dataset Chowell_Train_Response.tsv
Input dataset Chowell_Test_Response.tsv

Outputs

From Output Label
Input dataset Chowell_Train_Response.tsv
Input dataset Chowell_Test_Response.tsv
toolshed.g2.bx.psu.edu/repos/paulo_lyra_jr/pycaret_model_comparison/PyCaret_Model_Comparison/2024.3.3.2+0 PyCaret Model Comparison

Tools

Tool Links
toolshed.g2.bx.psu.edu/repos/paulo_lyra_jr/pycaret_model_comparison/PyCaret_Model_Comparison/2024.3.3.2+0

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.

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

Version History

Version Commit Time Comments
6 0528d8868 2024-12-11 17:17:19 fix tool_id - workflow.ga
5 9c520df4f 2024-11-21 00:14:03 fix - remove spaces
4 8a202a29e 2024-11-20 16:27:16 fix-Labels
3 6649fb3e4 2024-11-20 15:16:19 fix_tests-yml
2 a964e73d1 2024-11-14 19:48:33 tutorial finalized
1 3dd4473da 2024-10-18 15:21:40 Loris tutorial start

For Admins

Installing the workflow tools

wget https://training.galaxyproject.org/training-material/topics/statistics/tutorials/loris_model/workflows/main_workflow.ga -O workflow.ga
workflow-to-tools -w workflow.ga -o tools.yaml
shed-tools install -g GALAXY -a API_KEY -t tools.yaml
workflow-install -g GALAXY -a API_KEY -w workflow.ga --publish-workflows