Will Dean
Will Dean
- [ ] known covariance matrix - [ ] known precision matrix - [ ] known mean vector
mean and sigma exchangeability model already supported
inverse gamma prior is already supported
Can do a difference of the parameter estimates that come from different methods - [Linear regression from pandas-bootstrap](https://wd60622.github.io/pandas-bootstrap/examples/linear-regression/)
Might be a way to parse out all the information and get the plotting mixins for free Parameters: dist._param_info() Continuous or discrete: from subclass
## Description Pulled any graph related information into two methods: 1. `create_plates`: Get plate meta information and the nodes that are associated with each plate 2. `edges`: Edges between nodes...
### Before ```python # Currently would have to create graphviz instance graph = pm.model_to_graphviz(model) # Save output to .dot file and manually modify subgraph labels print(graph) # Resave as pdf...
### Issue with current documentation: The [find_contrained_prior](https://www.pymc.io/projects/docs/en/latest/api/generated/pymc.find_constrained_prior.html) documentation page has "[str](https://docs.python.org/3/library/stdtypes.html#str) or [float](https://docs.python.org/3/library/functions.html#float), optional, default [None](https://docs.python.org/3/library/constants.html#None)" in the docstring type hint but dict[str, float] in the examples and function signature...