In a simple model with 42 data, I can predict on hold-out data. but In another complex model with 126 data, the model throw the error: ’’ ValueError: Input dimension mis-match. (input[1].shape[0] = 126, input[2].shape[0] = 3) Apply node that caused the error: Elemwise{Composite{exp((i0 + (i1 * i2)…

[image] Prediction using sample_ppc in Hierarchical model Questions Github issue #2352 by nikzadb : I have the attached data and following Hierarchical model (as a toy example of another model) and trying to draw posterior samples from it (of course to predict new values).…

Predicting on hold-out data，Error：Input dimension mis-match. (input[1].shape[0] = 126, input[2].shape[0] = 3)

Questions

Qiuchumo December 7, 2017, 10:35am 4

you have answered this question:grinning:
however, I run this example and my another question is why the predicted value is not correct in this example.

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Predicting on hold-out data，Error：Input dimension mis-match. (input[1].shape[0] = 126, input[2].shape[0] = 3)

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