\(\newcommand{L}[1]{\| #1 \|}\newcommand{VL}[1]{\L{ \vec{#1} }}\newcommand{R}[1]{\operatorname{Re}\,(#1)}\newcommand{I}[1]{\operatorname{Im}\, (#1)}\)

GLM exercise, with some github practice

This exercise follows the same form as the PCA exercise, with some github practice.

As before:

  • Make sure you have logged into your Github account;

  • Go to the course github organization page. You should see a private repository with a name like yourname-glm-exercise where yourname is your first name.

  • Fork this repository to your own account;

  • Clone your forked repository;

  • Change directory into your new cloned repository:

    cd yourname-glm-exercise

  • Make a new branch to work on, and checkout this new branch:

    git branch glm-exercise
git checkout glm-exercise

  • Finish the GLM exercise by filling in on_estimation_code.py, including writing the text answers into the strings in the code file;

  • When you’ve finished, commit on_estimation_code.py, and push these changes to your github fork;

  • Make a pull request to the upstream repository.

Any problems, please feel free to contact JB or I.

Good GLMing.