Translate the Multiple Choice chapter to numpyro#21
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kylejcaron
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Jun 21, 2026
| plot_logit_grid( | ||
| "Rescaled predictor and weakly informative prior", | ||
| "Standardized exam score", | ||
| logit_prior, |
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@aloctavodia Calling out that under the numpyro example, this would break because plot_logit_grid is expecting a cmdstanpy model.
Do we want to leave as is, or should I adjust the function to have routing based on the model?
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Better to change it. I did it for the other functions, but it seems I missed this one.
kylejcaron
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Jun 21, 2026
| "sigma_mu_ab": jnp.array([5., 10.]), | ||
| "mu_sigma_ab": jnp.array([5., 10.]), | ||
| } | ||
| longdata_6["student"] = jnp.array(longdata_6["student"]) - 1 |
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@aloctavodia calling out the tabs get a little awkward with data handling around 0 vs 1 indexing. its not too bad, but it causes the numpyro blocks to end up being longer
thoughts?
kylejcaron
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Jun 21, 2026
| ::: | ||
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| ```{python} | ||
| posterior = az.extract(az.from_cmdstanpy(break_1_fit), group="posterior") |
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adjusted this so these cells work for both numpyro and cmdstanpy
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Adds tabs to the Multiple Choice chapter for numpyro