Hi there! Is it possible to get prior predictive samples for Gaussian process models? I’d like something like this (MWE taken from the docs): x = np.linspace(0,1,50) y = 0.5 *x + np.random.randn(50) * 0.01 with pm.Model() as gp_model: cov_func = pm.gp.cov.ExpQuad(1, ls=0.1) gp = pm.gp.Mar…

Sample prior predictive for Gaussian process model

PabloLeon February 11, 2020, 6:54pm 3

@junpenglao @bwengals So is the way I specify the prior predictive correct? Happy to attempt to fix this if this is a bug!

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