I’m trying to use a model for data with missing values. The error I get is: ValueError: different number of dimensions on data and dims: 3 vs 5 It seems like a shape issue for the missing values. Here’s the code to replicate: import pymc as pm import numpy as np import xarray as xr import pandas…

Impute results in mismatch dimensions in dims and data

mattiasthalen September 28, 2022, 12:49pm 3

What happens when I do that is that the _missing and _observed are removed, and the model fails due to missing imputation:

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