gpu_jupytool
statistics-gpu_jupyter_lab/gpu-jupyterlab-as-jupytool
Launch in Tutorial Mode
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galaxy-download Download
galaxy-download Download
flowchart TD 0["ℹ️ Input Dataset\nIPynb notebook"]; style 0 stroke:#2c3143,stroke-width:4px; 1["train_rows"]; 2["ℹ️ Input Dataset\ntest_rows"]; style 2 stroke:#2c3143,stroke-width:4px; 3["ℹ️ Input Dataset\ntest_rows_labels"]; style 3 stroke:#2c3143,stroke-width:4px; 4["GPU enabled Interactive Jupyter Notebook for Machine Learning"]; 0 -->|output| 4; 1 -->|out_file1| 4; 2 -->|output| 4; 3 -->|output| 4; 5["Cut"]; 4 -->|output_collection| 5;
Inputs
Input | Label |
---|---|
Input dataset | IPynb notebook |
Input dataset | test_rows |
Input dataset | test_rows_labels |
Outputs
From | Output | Label |
---|---|---|
Filter1 | Filter | train_rows |
interactive_tool_ml_jupyter_notebook | GPU enabled Interactive Jupyter Notebook for Machine Learning | |
Cut1 | Cut |
Tools
Tool | Links |
---|---|
Cut1 | |
Filter1 | |
interactive_tool_ml_jupyter_notebook |
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:
Version History
Version | Commit | Time | Comments |
---|---|---|---|
1 | a13a2df4e | 2023-01-13 12:25:16 | add get data section |
For Admins
Installing the workflow tools
wget https://training.galaxyproject.org/training-material/topics/statistics/tutorials/gpu_jupyter_lab/workflows/gpu_jupyterlab_as_jupytool.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