Regression GradientBoosting

statistics-classification_regression/regression-gradientboosting

Author(s)

version Version
6
last_modification Last updated
May 27, 2020
license License
None Specified, defaults to CC-BY-4.0
galaxy-tags Tags
ml
statistics

Features

Tutorial
hands_on Machine learning: classification and regression
workflow Other workflows associated with this material
Workflow Testing
Tests: ✅
Results: Not yet automated
FAIRness purl PURL
https://gxy.io/GTN:W00222
RO-Crate logo with flask Download Workflow RO-Crate Workflowhub cloud with gears logo View on WorkflowHub
Launch in Tutorial Mode question
galaxy-download Download
flowchart TD
  0["ℹ️ Input Dataset\nbody_fat_test"];
  style 0 stroke:#2c3143,stroke-width:4px;
  1["ℹ️ Input Dataset\nbody_fat_train"];
  style 1 stroke:#2c3143,stroke-width:4px;
  2["ℹ️ Input Dataset\nbody_fat_test_labels"];
  style 2 stroke:#2c3143,stroke-width:4px;
  3["Ensemble methods"];
  1 -->|output| 3;
  1 -->|output| 3;
  4["Ensemble methods"];
  0 -->|output| 4;
  3 -->|outfile_fit| 4;
  5["Plot actual vs predicted curves and residual plots"];
  4 -->|outfile_predict| 5;
  2 -->|output| 5;
  cf1a5f94-f79d-4d13-b142-c3e20e25b658["Output\noutput_scatter_plot"];
  5 --> cf1a5f94-f79d-4d13-b142-c3e20e25b658;
  style cf1a5f94-f79d-4d13-b142-c3e20e25b658 stroke:#2c3143,stroke-width:4px;
  e86ba3fd-3f85-4ba9-ad66-4c1e5caa875a["Output\noutput_actual_vs_pred"];
  5 --> e86ba3fd-3f85-4ba9-ad66-4c1e5caa875a;
  style e86ba3fd-3f85-4ba9-ad66-4c1e5caa875a stroke:#2c3143,stroke-width:4px;
  2cbc04d3-d2d9-4623-b63d-51f1b024d611["Output\noutput_residual_plot"];
  5 --> 2cbc04d3-d2d9-4623-b63d-51f1b024d611;
  style 2cbc04d3-d2d9-4623-b63d-51f1b024d611 stroke:#2c3143,stroke-width:4px;

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 4e0ed121f 2020-05-27 02:24:23 add labels to workflow_outputs for regression_GradientBoosting.ga, add test from usegalaxy-eu/workflow-testing with updated labels and input sources
5 667ff3de9 2020-01-22 10:59:29 annotation
4 eb4d724e0 2020-01-15 10:41:35 Workflow renaming
3 9f881ab87 2020-01-09 16:52:34 checking ML tutorials, updating workflows
2 faf6d298a 2019-12-12 13:02:33 unflatten workflows
1 0ccef31bb 2019-06-17 21:55:56 Update workflows

For Admins

Installing the workflow tools

wget https://training.galaxyproject.org/training-material/topics/statistics/tutorials/classification_regression/workflows/regression_GradientBoosting.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