Comments (3)
tyarkoni
commented on June 8, 2024
044bab1 added functionality that wraps pm.traceplot(), but we can probably do better and add some more diagnostics, design matrix plots, etc. at some point.
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jake-westfall
commented on June 8, 2024
We now have nice built-in functionality for plotting the results (ModelResults.plot(), which is essentially pm.traceplot() plus some niceties), and for plotting the priors, at least for fixed effects (through Model.plot() or ModelResults.plot(kind='priors')). Are there other obvious plotting candidates? Or can we consider this issue more or less closed?
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tyarkoni
commented on June 8, 2024
Okay with me to close; future plot requests should be through new issues.
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Related Issues (20)
- Add migration guide for those coming from scikit learn HOT 2
- hsgp tests failing due to incompatible Elemwise input shapes HOT 1
- plot_predictions with random effects HOT 11
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- TypeError: cannot pickle '_contextvars.Context' object or 'PyCapsule' object during design matrix creation HOT 7
- Possibility to pick number of samples for calls to posterior predictive? HOT 4
- Make `interpret` module verbose about default computations
- y ~ 1 + x:z outputs estimates for Intercept, x:z AND z HOT 1
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- Improve tests to reduce durations
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