Am I using prior_from_idata from pymc-experimental correctly?

That sounds correct as it uses a multivariate approximation to the posterior. The deterministics are then the different dimensions of the multivariate + transforms if specified.

The number of parameters should be the same as the number of dimensions in the multivariate

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