Comments (2)
Yeah, I can think of this, will post the solution here.
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@rrkarim, it would be great to add more samplers! We should think of a way to easily get the other tfp transition kernels
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Related Issues (20)
- No transformations for Bounded Distributions
- Class level dimension and parameter information HOT 1
- Backport support for coords from pymc3
- Add log likelihood to arviz trace objects
- `sample_prior_predictive` and `sample_posterior_predictive` issues with `use_auto_batching=False` HOT 2
- Write a notebook on manual model vectorization HOT 1
- Mass matrix adaptation sampling code in notebooks fails HOT 1
- Error in transformed variables with manual model vectorization HOT 4
- Make pm.sample work with AR distribution HOT 6
- Changes in PR #271 don't work with BatchStacker HOT 2
- PyMC3 vs PyMC4 for a new project? HOT 2
- [Question] Is there a timeline or roadmap for PyMC4? HOT 2
- Numerical instabilities with tf.float32 for cholesky decomposition HOT 3
- ValueError: Cannot create a tensor proto whose content is larger than 2GB. HOT 2
- Connecting pymc4 and diffeqpy for differential equations HOT 1
- Sampling fails when `num_chains=1` HOT 5
- PYMC4.Bound not found HOT 3
- Add support for LocalLinearTrend and Seasonal HOT 1
- calculation with tensor run errors HOT 2
- ERROR (aesara.graph.opt): Optimization failure due to: constant_folding HOT 1
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