What do these errors mean? AssertionError: Could not broadcast dimensions following Sparse Approximation and Marginal Likelihood examples

Hi there,

I am trying to follow the latest versions and their examples from here with my own data.

However when I am trying to get the conditional or simply call predict I do get the following errors:
AssertionError: Could not broadcast dimensions
for calling gp.conditional on the test input array.

and
AttributeError: 'NoneType' object has no attribute 'items'
when calling gp.predict on the numpy test input array.
What do these errors mean?

I have a similar implementation with Sparse from v3 and it seems to run without errors on the same inputs.

Many thanks!!

Anyone curious, the error was that there was an extra dimension in my target variable. :man_facepalming: