pymc icon indicating copy to clipboard operation
pymc copied to clipboard

Bayesian Modeling and Probabilistic Programming in Python

Results 463 pymc issues
Sort by recently updated
recently updated
newest added

I am getting a TypeError when I try to sample with multiple cores, the issue does not appear if cores=1. I am working on the modeling of exoplanet transits using...

## Description of your problem Aesara can not convert pandas dataframes into tensors. @twiecki suggested me to open an issue about it here :) **Please provide a minimal, self-contained, and...

enhancements
beginner friendly
aesara-related

## Description Even after https://github.com/pymc-devs/pymc3/pull/4439 imputations don't work in combination with `pm.Data`. This is because `pm.Data` creates a `SharedVariable` that currently does not support a `np.ma.MaskedArray`. Almost identical to the...

enhancements
bug
pytensor

## Description of your problem `model.check_test_point` is marked for deprecation. V4 seems like a good time to remove it. Opening a discussion to get a second opinion. If we agree...

maintenance

Addressing #5076 Deleted the code that was added to facilitate sampling from the prior as a starting point for SMC.

Following the merge of #5527, it would be good to allow users to selectively exclude variables using ~ in `var_names`. For instance, given a full model: ```python with pm.Model() as...

feature request

Every step method has a `stats_dtypes` dictionary that advertises the dtypes to be expected. This information is relevant for storage backends so they can create arrays of the correct dtypes....

tests

Right now, running ```bash $ python -m pydocstyle --convention=numpy pymc/ | wc -l 3090 ``` Shows 3090. It would be a bit much to try to fix all this at...

docs
beginner friendly

To decrease our dependence on `MultiTrace`, and to improve support for workflows were `InferenceData` objects are saved to disk, the `EmpiricalGroup` approximation should be refactored. Currently it takes only `MultiTrace`...

help wanted
trace-backend
VI

https://github.com/pymc-devs/pymc/blob/4d2f3a8d5f99fc773bc0a1aad6d51e4f3f047698/pymc/variational/approximations.py#L274-L277 _Originally posted by @purna135 in https://github.com/pymc-devs/pymc/pull/5806#discussion_r883898030_

VI