Introducing Gumbi: the Gaussian Process Model Building Interface

Hi sree_datta, thanks for giving it a shot! That error is just down to the color argument to seaborn’s scatterplot. You provided color=sns.cubehelix_palette, which is a function, but you need to provide it with a single color (in the example I specify color=sns.cubehelix_palette()[-1], which gives a dark purple, but you’re of course free to use any color seaborn accepts).

The numpy issue is unrelated, and should only cause an issue if you need the MultivariateUncertainParameterArray. Higher versions of numpy were giving really bizarre low-level linear algebra errors when calling mvup.dist and mvup.cov. In fact, if you wanted to try running the section on Multi-output regression (specifically the multivariate sampling bit) in the Cars Dataset notebook with your setup, and let me know if you get weird errors, that would help a lot!