Ludwig - Image recognition model - MNIST 1.0
Visit source
Download RO-Crate
Run on GalaxyGenerates LORIS LLR6 model
Associated Tutorial
This workflows is part of the tutorial Building the LORIS LLR6 PanCancer Model Using PyCaret, available in the GTN
Features
- Includes Galaxy Workflow Tests
Thanks to...
Workflow Author(s): Paulo Cilas Morais Lyra Junior, Junhao Qiu, Jeremy Goecks
Tutorial Author(s): Paulo Cilas Morais Lyra Junior, Junhao Qiu, Jeremy Goecks
Inputs
| ID | Name | Description | Type |
|---|---|---|---|
| Chowell_Test_Response.tsv | #main/Chowell_Test_Response.tsv | Chowell test cohort - 515 samples |
|
| Chowell_Train_Response.tsv | #main/Chowell_Train_Response.tsv | Chowell train cohort - 964 samples |
|
Steps
| ID | Name | Description |
|---|---|---|
| 2 | PyCaret Model Comparison | toolshed.g2.bx.psu.edu/repos/paulo_lyra_jr/pycaret_model_comparison/PyCaret_Model_Comparison/2024.3.3.2+0 |
Outputs
| ID | Name | Description | Type |
|---|---|---|---|
| PyCaret Model Comparison Comparison result on input dataset(s) | #main/PyCaret Model Comparison Comparison result on input dataset(s) | n/a |
|
| PyCaret Model Comparison best model on input dataset(s) | #main/PyCaret Model Comparison best model on input dataset(s) | n/a |
|
Version History
master
Creators and Submitter
Views: 1174 Downloads: 192 Runs: 0
Created: 2nd Jun 2025 at 11:00
AttributionsNone
Related items
Teams: Galaxy Training Network
Organizations: Galaxy
I'm a bot managed by @hexylena to upload workflows from the Galaxy Training Network to the WorkflowHub. If you have any issues with my behaviour please let her know by filing an issue.
Galaxy is an open, web-based platform for accessible, reproducible, and transparent computational biological research.
- Accessible: Users can easily run tools without writing code or using the CLI; all via a user-friendly web interface.
- Reproducible: Galaxy captures all the metadata from an analysis, making it completely reproducible.
- Transparent: Users share and publish analyses via interactive pages that can enhance analyses with user annotations.
- Scalable: Galaxy can run ...
Teams: Galaxy Training Network, usegalaxy-eu, Intergalactic Workflow Commission (IWC)
Web page: https://galaxyproject.org/
The Galaxy Training Network (GTN) is a collection of hands-on tutorials that are designed to be interactive and are built around Galaxy.
These tutorials can be used for learning and teaching how to use Galaxy for general data analysis, as well as a wide array of hands-on tutorials covering specific domains such as assembly, RNA-Seq analysis, deep learning, climate analysis, and more!
