Hey all, i have been trying to do GP regression for multiple data sets using with pm.Model() as model: ℓ = pm.Uniform('ℓ', lower=np.sqrt(5.0), upper=6.0*50.0*np.sqrt(2.0)) η = pm.Uniform('η', lower=0.0, upper=1.0) cov = η**2 * pm.gp.cov.Exponential(1, ℓ) gp = pm.gp.Marginal(cov_func=cov) σ = pm.…

Defining multiple models with pm.Model() shuts down kernel?

junpenglao October 29, 2019, 6:26pm 2

Looks like it is out of memory - it easily happens with Gaussian Process.

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