I have created a smallish example of my model. I’m trying to predict on new data for a specific group. But after sampling, I’m getting conflicting sizes for dimension 'observation': length 33 on the data but length 2 on coordinate 'observation': Toy Data import pymc as pm import arviz as az impor…

It’s kind of annoying that the error doesn’t point to the variable caused the error, but only to the dimension name. I think that the error is happening when sample_posterior_predictive tries to set the observed predictions constant data (i.e. the observations that were actually observed in your new…

Predict with new coords leads to conflicting sizes

Questions v5

lucianopaz October 12, 2022, 2:46pm 4

You can fill it with placeholder values that have the correct shape. The only real reason these are stored in the predictions group of an InferenceData is to be able to plot predictions with the data side by side.

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Predict with new coords leads to conflicting sizes

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