Benchmark for samplers that sample from posterior distributions over model parameters

Download and preprocess datasets from OpenML

Define Bayesian models to draw samples from their posteriors

Create "grid" where one axis is all of the datasets and the other axis is all of the Bayesian models and for each pair in the Cartesian product, draw posterior samples from that (dataset, model) pair.

Model distribution of samples from each (dataset, model) pair.