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Bayesian Modeling and Probabilistic Programming in Python

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### Description This seems to be an old transform that was replaced by the Simplex transform.

beginner friendly
maintenance

### Describe the issue: When using mutable coords in a model then calling `set_data` to change the coordinates to values that are a different size than the original results in...

bug

### Description The model fgraph functionality (used by `do` and `observe`) doesn't work with GP variables because those are not represented as pure PyTensor objects and make use of variables...

GP

### Issue with current documentation: _No response_ ### Idea or request for content: ## Beginner friendly issues Here are the beginner friendly issues for pytensor, most recently updated first Click...

**What is this PR about?** Closes #7041 This is a draft to add convergence checks to the JAX samplers. Right now I'm just calling `run_convergence_checks` after sampling. It might be...

Closes #6972 This PR provides a new model transform that freezes RV dims that depend on coords as well as mutable data, for those worried about performance issues or incompatibilities...

request discussion
major

### Description It is currently possible to create dims without coords via `pm.Data`: ```python import pymc as pm with pm.Model() as m: x = pm.MutableData("x", [0, 1, 2], dims=("dim_without_coord",)) y...

request discussion

### Before I’ve started using PyMC’s variational inference to fit my models. I have no prior experience with this, but I guess there’s parallels with training neural networks, where the...

feature request

### Description PyMC users are used to getting an immediate report when there are divergences in the standard NUTS sampler. I suggest we print (log) this information when we call...

enhancements
beginner friendly
jax

### Describe the issue: Working through some examples and done some tests. In some cases pymc just stops without any error message. ### Reproduceable code example: ``` for examples running...

bug