Linear regression example in rust.
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- Dominant language
- Rust
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Description
Hello,
I am having trouble understanding how to set up the logp function for my use case, specifically the gradient term. I have managed to implement my model using emcee, as this doesn't require a gradient term but I would really like to use NUTS directly from rust!
A slightly more involved example, along the lines of this would be very helpful to understand how to fit a model (including priors) to data, from which I can extrapolate into my own use case.
Thank you for your work on this excellent crate.
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First steps
- Read the whole issue, then the project's contributing guide.
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Research direction
Start with the crate's logp API and NUTS entry point, then compare the requested example with the linked emcee linear-regression tutorial. The documentation should show a linear model with priors, data, and the gradient term, and demonstrate fitting it with NUTS directly from Rust.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- rust
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100