pymc4
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Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.
After #193, I never got around to writing a proper usage notebook, so I'm opening this issue as a reminder for when I have some time to do it. This...
Naming the repository "pymc-tfp" and the module "pymc_tfp"
- [x] Add ``MarginalGP`` model. - [x] Add tests - [x] Add documentation suite - [x] Add notebook
Error received when using pymc4.bound(): AttributeError: module 'pymc4' has no attribute 'bound' Is bound available for PYMC4?
Closes #297 ### Description of the problem: When not using auto_batching, the event_shape of the distributions and potentials must match. The reason is, when the log-likelihood is calculated, it is...
While debugging #309, I found that sampling fails when `num_chains=1` on the latest tensorflow nightly and tensorflow probability nightly. Here's a minimal reproducible example: ```python >>> import pymc4 as pm...
I am trying to adapt #154 to using a spike-slab prior `pi * delta + (1 - pi) * N(mu, sigma)` where pi, mu and sigma are given and a...
PR adds support for Sequential Monte Carlo (`SMC`) method API. `SMC` is used to tune the `step_size` of NUTS sampler. ### SMC support: - [x] Support `SMC` initialization for mcmc...
I'd be interesting in getting pymc4 connected with [DifferentialEquations.jl](https://diffeq.sciml.ai/stable/) through [diffeqpy](https://github.com/SciML/diffeqpy) in a way to avoid in a high performance way ([like we did with R](https://www.stochasticlifestyle.com/gpu-accelerated-ode-solving-in-r-with-julia-the-language-of-libraries/)). What is the right...