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

ricardoV94 December 22, 2023, 12:15pm 2

Try var_names instead of vars, and you pass the name as a string instead of the variable itself

Topic		Replies	Views
How to plot the predict results in v5 v5 arviz	5	491	December 27, 2023
Problem with sample_posterior_predictive() for Gaussian Process Questions	1	991	February 7, 2022
Shape of posterior predictive samples of GP Questions	3	555	November 10, 2019
Posterior predictive sampling with data variance Questions	10	2423	September 14, 2018
Sample prior predictive for Gaussian process model Questions	3	868	March 8, 2020

Problem with Gaussian processes in v5

Related topics