Updated n_effective fix
@@ -1277,7 +1277,7 @@ class SampleAugmenter(DataAnalyzer):
all_nus[i] = np.vstack(values)
for i, values in enumerate(all_augmented_data):
all_augmented_data[i] = np.vstack(values)
- all_effective_n_samples = np.array(all_effective_n_samples)
+ all_effective_n_samples = np.vstack(all_effective_n_samples)
all_thetas = self._combine_thetas_nus(all_thetas, all_nus)
# Report effective number of samples
