Welcome! This repo contains some accompanying material for an introductory talk on Gaussian Processes.
See the accompanying whiteboard notes in Whiteboard.pdf
.
- Clone this repo
- Create and activate a virtual environment using your preferred method.
- For example,
python3 -m venv myvenv && source myvenv/bin/activate
- For example,
make install
- Profit!
- Run
make test
to check the install has been successful.
- Run
Run make run_jupyter_server
to get the Jupyter NB up and running.
Note that the files are in the notebooks
folder.
src/data
contains data loader convenience functions for a few toy datasets.- Data in
<repo_root>/data
folder.
- Data in
src/models
contains a linear regression and a GP model. They're not very good.