After averaging three models (see example http://docs.pymc.io/notebooks/model_averaging.html), I am generating predictions using this code:
ppc_w = pm.sample_ppc_w(traces, 1000, models, weights=comp.weight.sort_index(ascending=True), progressbar=False)
I would like to create counterfactual predictions based on specific values (data), but there is no data argument in the
Any ideas or suggestions on how to do it??