SDSC Expanse Notebook: Boring_Python

This README file provides instructions for Expanse users to run String_Processing notebooks in the Expanse. A brief introduction to regression using scikit-learn. Covers basic linear regression, multiple linear regression, combining scikit-learn with pandas and working with categorical data.
Listof Content

• Import Module
• Launch Galyleo
• Environment Modules
• Install Modules
• Location
• Submit Ticket

Import Module:

• sklearn
• linear_model
• mean_squared_error
• r2_score
• load_diabetes
• numpy
• pandas
• stats
• scipy

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 StringProcessing notebooks, we do not need to install any additional packages.

Location

String_Processing
├── Regression.ipynb
├── README.md

Submit Ticket

This notebook was last updated and tested on 3/31/25. 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!