IMPORTANT: PUT YOUR NETID IN THE FILE netid in the root directory of the assignment.
This is used to put the autograder output into Canvas. Please don't put someone else's netid
here, we will check.
In this assignment, you will:
- Implement k-Means
- Implement GMM
- Apply the two approaches to a dataset to discover patterns in an unsupervised way.
To clone this repository install GIT on your computer and copy the link of the repository (find above at "Clone or Download") and enter in the command line:
git clone YOUR-LINK
Alternatively, just look at the link in your address bar if you're viewing this README in your submission repository in a browser. Once cloned, cd into the cloned repository. Every assignment has some files that you edit to complete it.
See problems.md for what files you will edit and what goes into the write-up.
Do not edit anything in the tests directory. Files can be added to tests but files that exist already cannot be edited. Modifications to tests will be checked for.
Make a conda environment for this assignment and then run:
pip install -r requirements.txt
The test cases can be run with:
python -W ignore -m pytest -s .
at the root directory of the assignment repository. NOTE: this command is slightly changed to suppress warnings that come from scikit-learn when we use adjusted_mutual_info.
Simply open an issue on the starter code repository for this assignment here. Someone from the teaching staff will get back to you through there!