MP3: PCA

In this MP, you will recognize faces by projecting the images onto their principal components, then using a nearest-neighbor classifier.

• mp3.zip contains the code. You should download the code, unzip it into some directory, and then type jupyter-lab to get started.

• mp3_notebook.html is an example of what the Jupyter notebook will look like, once you’ve finished everything.

• python grade.py is how you will grade your code on your local machine. The solutions are available to you in solutions.hdf5.

• When it works on your machine, then you can try uploading only the file submitted.py to the MP3 assignment on Gradescope.

Extra Credit

• mp3_extra.zip is the extra credit assignment. This adds one more file for you to work on (extra.py), and one more visible test file (tests/test_extra.py) with its accompanying solutions file (extra_solutions.hdf5).

• When you’ve finished revising extra.py, you can test it on your machine by running python grade.py.

• When it works on your machine, upload only the file extra.py to the MP3 Extra Credit assignment on Gradescope.