In the Bayesian linear regression tutorial, if I set
X_test = np.vstack([X_test,X_test])
y_test = np.hstack([y_test,y_test])
such that now the training and testing dimensions are different, how do I use
ed.evaluate('mean_squared_error', data={X: X_test, y_post: y_test})
I’ve tried setting the placeholder to [None,None] dimensions or changing the placeholder to another one with test dimensions, but that didn’t work.