I understand how gaussian processes work in v3, but know I try to run it on v5,I got error, TypeError: sample_posterior_predictive() got an unexpected keyword argument 'vars' the problem seems comes from here, with model_reg: f_pred = gp.conditional(‘f_pred’, X_new) with model_reg: pred_sample…

Your pred_samples variable doesn’t have a posterior because you saved your posterior in trace_reg. The pred_samples variable only has the posterior predictive samples in it (in a group called posterior_predictive.

Problem with Gaussian processes in v5

Questions v5

cluhmann December 23, 2023, 6:49am 10

That’s because your posterior predictive object has 4 (chains) x 2000 (draw) posterior predictive set of your 100 observations. I would suggest using arviz.plot_ppc().

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Problem with Gaussian processes in v5

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