pymc
k-dense-ai1.8k installs
Fit PyMC models and check their uncertainty.
What it does
Develops Bayesian analyses in PyMC with checked priors, sampling diagnostics, and uncertainty-aware predictions.
When to use it
Use for probabilistic modeling and uncertainty inference in PyMC.
How to use it
Give it a Bayesian modeling request; it develops analysis code using a checked workflow and runnable regression templates.
Uses
Good to know
- advertises something the task does not need
Latest review
What you need · 8
Requires Python 3.12 or later.
Targets PyMC 6.3.2 for local Bayesian modeling and inference.
Targets PyTensor 3.3.2.
Access · 1
This skill
arXiv
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