I want to plot ,export, and save the result of predictive of my observations，I know how to do this in v3.I use with model_reg: # pred_samples = pm.sample_posterior_predictive(f_pred) pred_samples = pm.sample_posterior_predictive(trace_reg, var_names=['f_pred']) to get the prediction, then I…

You have only partial code, and the plotting code you posted will not make the plot you posted (there is nothing to get the HDI, draw sample trajectories, etc). Here is a simple model and a plot of a conditional distribution. Perhaps it will be helpful? # Generate fake data rng = np.random.default…

What were you doing in v3 to make plots? The arviz API hasn’t changed much (at all?), so my guess is you just need some pointers related to working with xarrays. It would be good to see your starting point.

I want to plot the predicted samples f_pred at X_new points and error bar, in v3,I used X_new = np.linspace(np.floor(x.min()), np.ceil(x.max()), 100)[:,None] with model_reg: f_pred = gp.conditional('f_pred', X_new with model_reg: pred_samples = pm.sample_posterior_predictive(f_pred) _, ax =…

Thanks very much, it’s helpful. Besides, when I use gaussian process, it takes a very long time to finish the process, if there any method can make it faster?

How to plot the predict results in v5

Questions v5

jessegrabowski December 27, 2023, 1:53pm 6

You can try an HSGP approximation, see this thread and the linked PyMCon videos for all the details.

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How to plot the predict results in v5

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