I want to understand what tidyposterior perf_mod() is doing.

I started learning Bayesian after visiting this site. https://tidyposterior.tidymodels.org/articles/Different_Bayesian_Models.html

I don't know why Bayesian posterior distribution is updated.

```
gamma_model <- perf_mod(rmses, family = Gamma(), seed = 74)
```

Is there an easy way to understand what we are doing with this code?

You are going to update the prior distribution to fit the "data and the value of rmse", right?

I'm not sure what search terms would help me understand what I'm running with the above code, so I asked the question.

It would be nice to have a video or picture that gently explains things.