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Description
Is this a mismatch in package versions that other people have experienced?
Can anyone suggest what may have caused this or how to resolve?
Steps (on Mac):
Create a new conda environment using python 3.13. (changelogs say this is supported)
Installed latest meridian using pip :- pip install --upgrade google-meridian. (v 1.4.0 I believe)
In Python:
Imported packages
Built data object as previously done in version 1.12
Built MMM object as previously done
prior = prior_distribution.PriorDistribution(
roi_m = tfp.distributions.LogNormal(roi_m_mu, roi_m_sigma),
gamma_c = tfp.distributions.Normal(0, 5),
alpha_m = tfp.distributions.Beta(alpha_m_alpha, alpha_m_beta)
)
model_spec = spec.ModelSpec(
enable_aks=True,
max_lag = 8,
media_prior_type = 'roi',
prior=prior)
Successfully sampled from priors
Error occurs when sampling from posterior; line 1013 identified =. self.posterior_sampler_callable()
Tensorflow version is 2.20.0
Numpy is 2.4.1
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