pymc
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Bayesian Modeling and Probabilistic Programming in Python
Bumps [conda-incubator/setup-miniconda](https://github.com/conda-incubator/setup-miniconda) from 2 to 3. Release notes Sourced from conda-incubator/setup-miniconda's releases. Version 3.0.0 Features #308 Update to node20 #291 Add conda-solver option (defaults to libmamba) Fixes #299 Fix condaBasePath...
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Bumps [docker/build-push-action](https://github.com/docker/build-push-action) from 5.0.0 to 5.1.0. Release notes Sourced from docker/build-push-action's releases. v5.1.0 Add annotations input by @crazy-max in docker/build-push-action#992 Add secret-envs input by @elias-lundgren in docker/build-push-action#980 Bump @babel/traverse from...
### Describe the issue: The issue can be replicated by following the example for linear regression described in the documentation. https://www.pymc.io/projects/docs/en/stable/learn/core_notebooks/GLM_linear.html The figure titled "Posterior predictive regression lines" has incorrect...
This has been discussed in the [forums](https://discourse.pymc.io/t/learning-rate-scheduling-for-variational-inference/13075/25) and in this [issue](https://github.com/pymc-devs/pymc/issues/7010). There’s big parallels between PyMC’s variational inference and training neural networks, where the choice of optimiser and learning rate...
**What is this PR about?** This PR defines a FlatSwitch Op that aims to extract the intervals and their respective encodings required to infer the logprob of arbitrary censored distributions....
This is still a draft. I want to add two more examples first about the default ppc and predictions use-cases ## TODO - [ ] Add example about common use...
### Describe the issue: I'm experiencing chronic issues with kernel crashes at the end of sampling during the variable transformation stage for large models. This is despite using the `postprocessing_backend="cpu"`...
### Describe the issue: As it stands, SMC sampler cannot be parallelized with custom ops. When using SMC sampler with more than one core (i.e. parallel sampling) and an `as_op`...
### Describe the issue: Calling `pymc.compute_log_likelihood` multiple times on the same model leads to multiple compilations via `compile_fn`. This is a time sink (in some applications) that could easily be...
### Describe the issue: Sampling using `MvGaussianRandomWalk` with batch dimensions (i.e. 3-dimensional shape) fails with what appears to be a broadcasting issue. The distribution can be instantiated and evaluated, but...