Keep 0 dimensional parameters as 0 dimensional instead of 1 dimensional #575
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Until now, we've been treating 0-dimensional parameters (a slope parameter for a 1d numerical predictor) as 1-dimensional. It was not creating any visible issues until we have #572.
This PR creates 0-dimensional parameters in PyMC when they're 0-dimensional so we avoid unnecessary dimensions in the resulting InferenceData object.
Following the example in the issue, now it works.
Also with two predictors