Closed juliusaka closed 3 months ago
Good catch, @juliusaka! You're absolutely right—the plot
should use the model's parameters. We likely overlooked this during the example refactoring. Could you prepare a pull request with the fix? It's a great way to contribute to RxInfer!
I am out of the office but for sure I take care of it next week.
On Wed, 17 Jul 2024 at 11:04, Bagaev Dmitry @.***> wrote:
Good catch, @juliusaka https://github.com/juliusaka! You're absolutely right—the plot should use the model's parameters. We likely overlooked this during the example refactoring. Could you prepare a pull request with the fix? It's a great way to contribute to RxInfer!
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Hi, I'm trying to understand Bayesian Inference, which is why I look through your examples. In the above mentioned example, examples/basic_examples/Coin Toss Model.ipynb, The model is called for inference with
model = coin_model(a=4.0, b = 8.0),
while in the plot at the end the prior is plotted with,plot!(rθ, (x) -> pdf(Beta(2.0, 7.0), x), fillalpha=0.3, fillrange = 0, label="P(θ)", c=1,)
. Can you please clarifiy if that is a missalignment, or help me in my understanding? Best, Julius