Creating a tutorial example for classification
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- Dominant language
- Python
- Stars
- 349
- Forks
- 35
- Avg merge
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Description
Hi, similar to my other issue #61 , I wanted to propose adding a GP classification example. It can fit into Non-Gaussian Likelihoods or a different page.
I'd written a tutorial for Pyro: https://github.com/prog-ml/prog-ml.github.io/blob/main/notebooks/gaussian_processes/pyro-binary-classification.ipynb
that can be easily adapted for tinyGP.
Please let me know if this is of interest. My students or I could create a PR for this.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reading the linked Pyro notebook, pyro-binary-classification.ipynb, and compare it with the tinyGP documentation around Non-Gaussian Likelihoods. Adapt the tutorial for tinyGP and add it as a documentation example; it is done when the classification example is available in the documentation and runs successfully.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100