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Regularized Regression Lab

Led by Dr. Rodrigo Luger

Astroinformatics Summer School 2022

Organized by Penn State Center for Astrostatistics

This repository contains the following computational notebooks and supporting files:

  • RegularizedRegression.ipynb (Jupyter notebook): Provides an introduction and example applications of regularized regression.
  • RegularizedRegressionAnswers.ipynb (Jupyter notebook): Contains code and plots resulting from RegularizedRegression.ipynb.
  • regularization.py (python code): Provides supporting functions used by the two notebooks above. It's assumed that most students will not open this file directly.

Running Jupter/Python notebooks

Summer School participants will be provided instructions for accessing a JupyterLab server.
Others may install Python 3 and Jupyter (or JupyterLab) on their local computer or use Google Colab to open the Jupyter notebooks.

RegularizedRegressionAnswers.ipynb requires a recent version of matplotlib. If you try to run the notebook on your own machine and get an error message, then try

pip install matplotlib>=3.5

and see if that fixes it.

Contributing

We welcome people filing issues and/or opening pull requests to improve these labs for future summer schools and potentialy other uses.

Additional Links