Hi! I am trying to use PPC to do the criticism for mixture model but encountered shape mismatch error in sample_ppc. The data generation process is: def build_toy_dataset(N, K): pi = np.array([0.2, 0.5, 0.3]) mus = [[1, 1], [-1, -1], [2,-2]] stds = [[0.1, 0.1], [0.1, 0.2], [0.2, 0.3]]…

Shape mismatch error in 'sample_ppc'

breadbaron March 6, 2019, 9:08pm 9

Ah ok - when cloning the most recent version from github, things seem to work. Thanks for fixing!

Topic		Replies	Views
Fitting multiple measurements, shape issues in sample_ppc Questions	4	1448	November 8, 2018
Problem with fitting Multivariate Mixture of Gaussians Questions	6	3561	June 4, 2018
Pm.sample_ppc breaks with AttributeError Questions	16	2027	February 5, 2018
PPC for data with known measurement uncertainty Questions	3	1304	July 26, 2018
Posterior predictive sampling with shared matrix Questions	2	596	August 31, 2018