I have been working on PyMc3 to build a probabilistic model that fits my data. As a part of it I’ve tried implementing updating priors on my data in which posteriors are being used as priors and will run for multiple times observed_cell_delay = list_cell_delay[:5000] def stick_breaking(beta): por…

The example here uses all univariate normal distributions, so from_posterior is a reasonable interpolation for the data. In your model, beta, tau, and mu are all K dimensional, and I am not sure how well Interpolated accepts a K dimensional input. The specific problem is probably because from_poste…

ValueError: Not enough dimensions on Elemwise{mul,no_inplace}.0 to reduce on axis -1

Questions

junpenglao September 11, 2018, 8:32pm 3

It cannot work with n dimension input - it’s for 1d only.

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ValueError: Not enough dimensions on Elemwise{mul,no_inplace}.0 to reduce on axis -1

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