SDSC Expanse Notebook: Decision_Trees

This README file provides instructions for Expanse users to run DecisionTrees notebooks in the Expanse. Introduces the scikit-learn machine learning package, using a classic decision tree example.
Listof Content

Import Module
Launch Galyleo
Environment Modules
Install Modules
Location
Submit Ticket

Import Module:

sklearn
tree
load_iris
graphviz

Launch Galyleo

For specific information about launching Galyleo, please refer to this GitHub repository.

Environment Modules

By utilizing --env-modules, we can load any software installed in Expanse. For instance, executing this command line will load CPU modules and Anaconda3 within the Jupyter session.

CPU: --env-modules cpu/0.17.3b,anaconda3

galyleo launch --account abc123 --partition shared --cpus 2 --memory 4 --time-limit 00:30:00 --env-modules cpu/0.17.3b,anaconda3/2021.05

Install Modules

To run DecisionTrees notebooks, we do not need to install any additional packages.

Location

Decision_Trees
├── Decision trees.ipynb.ipynb
├── README.md

Submit Ticket

This notebook was tested on Expanse on 3/27/25.

If you find anything that needs to be changed, edited, or if you would like to provide feedback or contribute to the notebook, please submit a ticket by contacting us at:

Email: consult@sdsc.edu

We appreciate your input and will review your suggestions promptly!

Decision Trees