Comments (13)
More interesting examples
i have a gmm example (forked from the pyro ex) as soon as we have a categorical [edit: i see there's now a multinomial, which i can probably use
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@fehiepsi - After discussing with @fritzo, I think it will be a good idea to move this to pyro-ppl, and develop in public. We should definitely look to address the issues above, and have an initial release at that point. What do you think?
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@neerajprad Sure, let's go for it!
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@neerajprad Nice updates for tasks! ;)
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A couple of good notebooks with explanations (not for benchmarking).
@neerajprad Which ones you have in mind? I think that it might be good to have one for bayesian regression (based on the similar one in Pyro) and one for local global trend (an excellent application). :)
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I think that it might be good to have one for bayesian regression (based on the similar one in Pyro) and one for local global trend (an excellent application). :)
Let us do it - I could take up the bayesian regression tutorial notebook. Given that we have quite a few examples now, I think two tutorials should be good enough to target for the initial release - one more basic, and the other targeted towards more advanced users/applications.
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Thanks, @fritzo! @jpchen has set up readthedocs at https://numpyro.readthedocs.io/en/latest/. Tutorials would be nice to have too, right now I have just linked to the jupyter notebooks on github in readme. @jpchen - let us know how much work that is.
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Nice! I agree with all of this.
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@jpchen If you need Dirichlet distribution, please let me know, I will implement it first. :)
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i have a gmm example (forked from the pyro ex) as soon as we have a categorical
That's great! I think you should be able to use the multinomial directly, but let me know if you get into any issues.
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Thanks @neerajprad, you could even rename this issue to "Checklist before initial release". Now that we're part of Linux Foundation, I feel like development should be public whenever possible.
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I've added a couple bullets for documentation. It would be nice to publish documentation and maybe tutorials (readthedocs for docs and maybe num.pyro.ai for tutorials? @jpchen how much effort would that be?)
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sorry my notifications for this project are misconfigured.
yes i will build the tutorials and push them to the website tonight. id like to move the docs to the pyro.ai domain but that will take a while since it needs to go through multiple approvals internally.
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Related Issues (20)
- Custom sampling per site for non-HMC approaches HOT 3
- `TransformedDistribution` support too broad when using `AffineTransform` transformation? HOT 2
- Correct control_flow.cond usage HOT 6
- Factor Analysis/PPCA Tutorial HOT 1
- Censoring Example HOT 1
- numpyro.deterministic static on infer.Predictive HOT 13
- [FR] Support for different supports in component distributions for mixture models HOT 5
- ImportError: cannot import name 'CAR' from "numpyro.distrubutions.continuous' HOT 2
- Use biased autocorrelation estimate by default HOT 1
- mean_accept_prob significantly different after warmup HOT 8
- HSGP utility functions in the `contrib` module? HOT 2
- Add Pareto Smoothed Importance Sampling (PSIS) diagnostic method
- contrib.hsgp: support vector-valued kernel hyperparameters HOT 3
- [FR] Truncated Power Law distribution
- An auto guide's `_unpack_latent` and `_unpack_latent._inverse` don't use produce the same order HOT 1
- [FR] Utility for joint distributions HOT 14
- How can I gibbs before HMC/NUTS? HOT 8
- Large potential energy while using `HMCGibbs` at the initial stage HOT 3
- Inference Test Failing HOT 2
- Figure in AR2 example is not reproducible
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